From jms@cis.upenn.edu Mon Jun 2 14:46:45 2003 From: jms@cis.upenn.edu (Jonathan M. Smith) Date: Mon, 02 Jun 2003 09:46:45 -0400 Subject: [KP-seed] some KP architectural thoughts In-Reply-To: <200305281808.h4SI8MqG098038@aland.bbn.com> Message-ID: <5.2.0.9.0.20030602093058.02144038@central.cis.upenn.edu> Hi Craig, good note. I will argue that the key to the puzzle is knowledge representation. If you make it very easy to get at the knowledge, the economic "barrier" to writing applications will go down. I have argued elsewhere that we adopt, again as a strawman, the name=value representation used for UNIX shells, cookies, and from what I understand, the Windows registry. If people want to play with this as a database, real-time sensors, hidden-variables, etc., all well and good. There's a thousand points of light in the data storage, query and retrieval business - all of which have no trouble dealing with this TP-independent scheme. The important thing is that it's very, very easy - and natural - to write applications for this model. The UNIX shells and their brethren, such as Perl, Python and Tcl, completely grok this model so it's simple to write "little programs" quickly. Programs already know how to cope with this scheme, viz. UNIX "getenv()". Just to give you an example, I had some undergraduates look at the layering issue in the management plane in the following way. They first built a kernel mod, which we called UDP_SHIELD, which supported a setsockopt() interface to udp_input() to block UDP traffic on specified IP addresses. Then they modified this with an entirely new API, where the value of UDP_SHIELD was examined upon exec() - where the environment variables are available - and parsed to grab the IPs, which were then cached away in an mbuf chain to be used in udp_input(). The comments from the students were uniformly positive - they saw it as easy to use and intuitive, and it sped up their management of the confinement of processes. Perhaps most importantly, it was easy to make a process "confined" without changing a line of its code simply by setting the values into the environment in a shell and then starting the application. Anyway, I think a focus on naming would be architecturally productive to have at this stage - since a weakness of the WWW in my opinion is that IP-locations and so on are embedded in URLs - what would we do in the face of the tabula rasa which the KP currently represents??? -JMS At 02:08 PM 5/28/2003 -0400, Craig Partridge wrote: >I've been having useful chats with my co-authors and a few others >about issues related to the KP paper and thought it would be useful to >try to write down some of the key thoughts. There's no particular >structure here -- just talking points with discussion. > >The KP as an integrating function > > Comments on the SIGCOMM paper reveal that people seem to have a hard > idea visualizing how the KP creates leverage -- that is, why does having > the KP enable a network effect and make applications that use the KP > more powerful when new applications start to use the KP? > > Part of the problem is that people are clearly trying to figure out how > to build the KP with what they know (as opposed to trying to build > something new). The instinct to say "can't we build the apps now and > link them together?" reflects, to my mind, a misplaced energy (more > below). > > But it is also clear we haven't painted a clear enough picture. > > From my end, that's actually hard. It is very easy, as JTW pointed out, > to talk of the KP in way such that people believe it is just a fancy > database into which you place data and from which you retrieve data. > > My vision (such as it is) is that the KP represents a mix of *structured* > data [where the structure may be multi-way, cognitively driven, > whatever, > but which gives us a way to observe data at the level of detail, and in > the structure, best suited to the immediate problem at hand (which > means the structure may be imposed in response to a query from > a user+application context], cognitive functions, sensors and actuators. > > Furthermore, much as UNIX pipes allow us to mix applications without > the applications having to be aware (e.g., build a pipe from ls > through an awk script and sort...), the KP will allow us to combine > the functions of different KP applications without the applications > having to be made explicitly aware that they're sharing or interacting > with other applications. Indeed, one of the key goals is that > the globally interesting data in the application isn't really "in > the application" but in the KP. In a best case, applications simply > know they are interacting with the KP and all else comes (from the > apps perspective) for free. > >The Think Point as a misplaced focus of energy > > There's concern that people are running off to build TPs (at least > intellectually), without really thinking about what TPs are. > > My view is that the concept of a Think Point was simply a strawman to > allow us to discuss a bunch of knotty problems such as: > > * how do we deal with multiple sources of data (multiple TPs > for one AS); > > * how do we deal with partially overlapping data (two TPs that > each have information, some redundant, some not, about the > same region of the network) > > * how do we deal with conflicting data (TPs that give conflicting > data) > > * economic models (how many TPs does an AS have?) > > * data routing (how do we find the right TP[s]?) > > I didn't think we were trying to figure out how to build TPs -- yet > many people seem started down that path. Questions such as "can we > create TPs using web servers?" reflect, to my mind, serious obstacles > to progress. > > I would like the paper to more clearly state that TPs are a strawman, > intended to provoke thought, not the creation of TP software. > >The KP as a force for change (but what kind?) > > Bob raised the issue if whether the KP was (1) a coherent structure > under a unifying architecture or (2) a nifty set of AI tools for > networking. I'm clearly in the (1) camp, and an issue that JTW and > I discussed was OK, exactly what is our architecture trying to do? > > From my perspective, it is clear that the layered architecture that > is so helpful and useful in the data plane is a complete disaster in > the management plane and, indeed, the management plane has worked hard > to subvert layering, because layering gets in the way, yet we've failed > to find any way to make the inevitable profusion and cacophony of > data and of network management functions intelligible. MIBs exhibit > no useful hierarchy (and absolutely no way to impose dynamic hierarchy > upon themselves). Nor do management functions (at best we have > carefully nurtured tools that can translate slightly abstracted > configuration and policy into the particular commands required for > a few router/operating-system combos -- we have no way to think, > coherently, about clusters of routers as a single *thing*). > > My view is the KP is the way to completely rethink this whole morass, > to blow up the current primitive thinking and do it right. (We may > retain certain protocols, but the whole mindset will change). And > my hope and expectation is that a cognitive viewpoint will allow us > to structure the problem in a fashion that works. > >Craig >_______________________________________________ >Kp-seed mailing list >Kp-seed@mailman.isi.edu >http://mailman.isi.edu/mailman/listinfo/kp-seed From jms@cis.upenn.edu Mon Jun 2 15:10:33 2003 From: jms@cis.upenn.edu (Jonathan M. Smith) Date: Mon, 02 Jun 2003 10:10:33 -0400 Subject: [KP-seed] some KP architectural thoughts In-Reply-To: <200305291442.h4TEggqG000700@aland.bbn.com> References: Message-ID: <5.2.0.9.0.20030602100654.0216d8b8@central.cis.upenn.edu> > >I haven't signed onto the K-app vs. app distinction. In my view, a K-app >is simply an application that can (if it chooses) make use of the Knowledge >Plane -- which, I think, meets the definition of a regular application in >your definition here. Same - see my previous note. One of the lessons I think I took away from active networks was that availability of programmers was as important or more important than technological purity in tech transfer - and thus a way that allows people to not learn too much and still get going is important. Especially given the correct observations you have made regarding "network externalities" and other economic analyses. -JMS From jms@cis.upenn.edu Mon Jun 2 15:20:12 2003 From: jms@cis.upenn.edu (Jonathan M. Smith) Date: Mon, 02 Jun 2003 10:20:12 -0400 Subject: [KP-seed] some KP architectural thoughts In-Reply-To: References: <200305291645.JAA08266@gra.isi.edu> <200305291645.JAA08266@gra.isi.edu> Message-ID: <5.2.0.9.0.20030602101820.021849e8@central.cis.upenn.edu> I think a really insightful way to look at some of the problems we are talking about is the tuple-space model most memorably developed by David Gelernter and his group at Yale. Ignore scalability whines and focus on the model for distributed programming! -JMS At 03:17 PM 5/29/2003 -0400, David Clark wrote: >I think the term K-application or K-app is proving dangerous, and we >should stop using it. It helped to get at a concept, but it is causing >more than one sort of problem. > >(JTW and I had a long discussion about this yesterday, and I think this >message reflects his thinking. If I got it wrong,its my fault. If I got it >right, he talked me into it.) > >In the paper we submitted for review, the reviewers had some fundamental >problems getting our points. One issue they raised in lot of ways is >"fixing all these problems is great, but why do you need a KP to do it?" >In asking this, they were really raising two separate questions? > >1) is the "cognitive hypothesis" necessary? Is there a reason to believe >it will work? > >To this we have to admit that it is only a hypothesis. We can offer a >better defence, perhaps, and advice is welcome. > >2) Why do we need a unified KP concept? Why not just code each problem >separately? They fail to get the argument that there is benefit to a >"holistic KP". > >We have actually talked about this a lot, and I think we share a hope (or >perhaps something stronger) that there is a synergy--that observations can >be used to trigger more than one set of reasoning elements, that reasoning >elements might apply to the solution to more than one problem, and so >on. We don't see knowledge strictly partitioned among different problem >domains or objectives. > >But when we talk about "K-apps", we trigger an image (very much a CS >image) of a contained package of programs and their data. The most extreme >form of this image, from a CS perspective, is an object oriented >perspective, in which each object manager gets to hide its raw data, and >only exposed the operations that it will allow outsiders to run on it. > >I think that a cognitive system is the opposite of this view. I fancy a >soup of data, recognizers, assertions, and so on. I imagine that different >people, working on different objectives, would add different sets of these >sorts of items to the KP, but they would all enter the soup. By using the >term "k-app" to describe what these people are doing, we trigger a view >that minimizes the image of a soup of stuff, and leads to a question as to >whether a KP, as a holisic system, is needed at all. > >We are going to have some interesting debates about how much heterogeneity >there must be in this cognitive soup. And we need a word to describe the >fact that the process of using the KP to meet objectives for the network >is a modular process. But I think K-app is the wrong word, with the wrong >implications. I think if we stop saying "k-app", it will make it easier >to argue for the virtue of the KP itself, and the holistic view. > >Dave >_______________________________________________ >Kp-seed mailing list >Kp-seed@mailman.isi.edu >http://mailman.isi.edu/mailman/listinfo/kp-seed From jms@cis.upenn.edu Mon Jun 2 15:46:15 2003 From: jms@cis.upenn.edu (Jonathan M. Smith) Date: Mon, 02 Jun 2003 10:46:15 -0400 Subject: [KP-seed] some KP architectural thoughts In-Reply-To: <200305301812.LAA08661@gra.isi.edu> Message-ID: <5.2.0.9.0.20030602104435.0217e4a0@central.cis.upenn.edu> At 11:12 AM 5/30/2003 -0700, Bob Braden wrote: >I'm sorry, but this discussion of KP soup seems to me to be in some >need of Mike O'Dell. (I never thought I would say that ... ;-|| ) > >Let's start with... "IT WON'T SCALE." Not at all clear without (thoughtful) experimentation. The WWW scales pretty acceptably no - you just need a nice way to connect information consumers with information providers. -JMS >Bob >_______________________________________________ >Kp-seed mailing list >Kp-seed@mailman.isi.edu >http://mailman.isi.edu/mailman/listinfo/kp-seed From Alex Poylisher Mon Jun 2 17:30:14 2003 From: Alex Poylisher (Alex Poylisher) Date: Mon, 2 Jun 2003 17:30:14 +0100 Subject: [KP-seed] Configuration scenarios Message-ID: <20030602163014.GC4331@conchis.homeip.net> MIME-Version: 1.0 Here is somewhat more detailed "configuration" scenario, or rather a group of possible scenarios, where we think adaptive management systems (the idea is this is one kind of K-apps) might prove useful. Questions and criticism (devastating and otherwise ;-) are very welcome. **** Server fail-over (Reliable Server Pooling) In mobile ad hoc networks, client-server connections need to be maintained persistently for military applications even as links and nodes migrate or become disabled during severe network stress or mobility. There are several potential applications of reliable server pooling in a battlefield environment, including collaborative planning, mobile C2, redundant backup database access, situation awareness, and distribution of auto-configurable IP addresses and authentication keys. Consider an example of a mobile soldier accessing a database of (probable) enemy positions. The soldier should not break and restart a session should enemy fire make "the" database unreachable. Instead, the session should transparently continue with a redundant backup database. Another potential application is the "agile commander", whose server components (databases, data proxies) could be replicated on multiple pool elements, enabling autonomous re-linking of C2 communications. Reliability comes at the cost of additional network overhead. The goal of a management system in these scenarios is to provision the components to maximise reliability under given network conditions and maintain acceptable throughput to meet mission goals. Server selection and fail-over policies can provide a range of reliability services, from simple server selection to a fully automatic session fail-over capability. Servers that can provide equivalent functionality can be pooled together; when a particular server becomes unavailable, or client-perceived QoS degrades, a client should be able to transparently switch over to another server in the pool. Selection of server, switch-overs to alternate servers and server pool membership should be based on mission goals and network conditions: - for a long mission, a server may be placed on the node with most available battery power to maximise availability. However, at the time of the mission entering a critical phase close to firing, when the speed of processing client requests is most important, the node with the highest processing speed may be chosen over the one with most battery power to act as the server; - server replication can increase the probabilities of successful switch-overs and admission of new sessions, limit expected number of switch-overs, and minimise the time of overload. However, there is cost associated with replicating servers. The extent of replication, the membership and placement of server pools should be based on the available nodes and topology, and should be able to change as mission goals change to trade off reliability for improved performance; - switching over from one server to another should be based on network conditions, including server and link overload or actual failure, both persistent and transient. If a server is on an error-prone link, and a particular client is (frequently) unable to reach the server, the client should be switched to an alternate server. Consider an admittedly simple scenario. Two hosts are designated as DNS servers (DNS1: primary, DNS2: secondary). The reason for this assignment is based on available battery power; DNS1 has more than DNS2. The goal is to maximise DNS service availability in the face of changing network conditions. Now, suppose that DNS1 is on a flaky link with alternating periods of "good" and "bad" quality, and DNS2 is on a good link. A small simulation experiment showed that depending on the duration of the "bad" periods, and the cost of switch-over (measured in terms of additional traffic to advertise the new primary server), there is potential to significantly improve service availability. However, switch-over has been shown to be counter-productive if both DNS1 and DNS2 are on flaky links, as the cost of frequent switch-overs outweighs the (marginal) gains in availability. We think that obvious generalisations of this scenario (more servers, more network/host state considered (e.g., CPU load, power consumption), more kinds of corrective actions (e.g., play with transmit power/antenna direction)) are a fertile ground for adaptive systems. It is clear that improvement by adaptation is possible under some conditions, it is by no means clear what these conditions and appropriate actions should be. We assume that regardless of the learning mechanism used, a continuously learning agent will do a much better job than people discovering and tweaking policies for such scenarios. Search spaces can quickly get very large indeed, and the proper job for people should be to set up effective and continuous search, and not to look for appropriate solutions by trial and error as is done today. A big question is how much support for such adaptive systems can and should be provided by the KP. One point of view is that of a software engineer assigned the task of building such agents: the simpler it is to develop on top of the KP, the better the KP. From this, support for data collection/aggregation/filtering is clearly required; some diagnosis on top of that might be very helpful to reduce search spaces; a cognitive architecture "library" out of which agents can be constructed is also a possibility. -- Alex Poylisher sher{at}komkon{dot}org From braden@ISI.EDU Mon Jun 2 17:38:13 2003 From: braden@ISI.EDU (Bob Braden) Date: Mon, 2 Jun 2003 09:38:13 -0700 (PDT) Subject: [KP-seed] some KP architectural thoughts Message-ID: <200306021638.JAA09281@gra.isi.edu> *> *> Whether your "observations" or data items are active or passive has *> nothing to do with scaling; it's an orthogonal issue. By necessity Karen, I don't think I believe that. Consider the extreme case of only passive observations. You have to collect all data that might conceivably ever be needed by any KP service, which is potentially an immense amount of information. I think one could say that this does not scale. If, OTOH, you passively collect a bounded set of often-useful information and supplement it with active observations when needed, it scales no worse than RSVP, and we all know how well that is. And by caching information intelligently, we can probably make it scale better, as I discusse in my talk at MIT. But your original "soup" note seemed to suggest that all the sensor data would wander vaguely around the network looking for a consumer. That means that each of these generators of huge data streams would radiate outward from the source, flooding the Internet with traffic at each node proportional to the total number of Internet nodes. Now, THAT does not scale. I think that we need at least some explicitly directed diffusion driven by active queries. I just don't like the soup metaphor. Magic won't save us from catastrophic information overload in the KP. *> one will only be considering partial or local views no matter what. *> As it is now, you can't talk to every other person in the world *> simultaneously (or probably sequentially either, unless you plan to *> live a lot longer than I) and we had better be imagining many more *> "observations" (not to mention all the things that might potentially *> be synthesized based on them) than there are people in the world. *> Maybe we are having an agreement... I can't tell. Thanks, Bob From braden@ISI.EDU Mon Jun 2 17:42:52 2003 From: braden@ISI.EDU (Bob Braden) Date: Mon, 2 Jun 2003 09:42:52 -0700 (PDT) Subject: [KP-seed] some KP architectural thoughts Message-ID: <200306021642.JAA09297@gra.isi.edu> *> From ddc@lcs.mit.edu Fri May 30 15:01:27 2003 *> Mime-Version: 1.0 *> X-Sender: ddc@ana-3.lcs.mit.edu *> Date: Fri, 30 May 2003 18:00:37 -0400 *> To: Bob Braden , craig@aland.bbn.com, sollins@lcs.mit.edu *> From: David Clark *> Subject: Re: [KP-seed] some KP architectural thoughts *> Cc: kp-seed@ISI.EDU *> X-AntiVirus: scanned by AMaViS 0.2.1 *> *> Bob, *> If you partition "k-apps" totally, so that the stuff inside the *> why program (to use an old term)cannot escape ever at all, how did *> you think that was going to scale. I think the scale problem from *> allowing leakage among different "k-apps" is a small linear factor. *> It is the global size of any one app that scares me. *> Dave, I certainly never said (in fact, I believe I have said the opposite) that different KP services would be isolated. We have talked about composing services and we have talked about sharing sensor data. We have not talked about sharing knowledge in general, but only because we (well, I) don't yet understand what that means well enough to discuss it. But surely it has to be an important aspect of the KP, and the KP architecture. So, I am agreeing with your scaling comment. Sharing knowledge among KP services will hopefully make them work better, but it is not a scaling issue. Bob *> But I want to stop saying "k-app" :-) *> *> At 11:12 AM -0700 5/30/03, Bob Braden wrote: *> >I'm sorry, but this discussion of KP soup seems to me to be in some *> >need of Mike O'Dell. (I never thought I would say that ... ;-|| ) *> > *> >Let's start with... "IT WON'T SCALE." *> > *> >Bob *> From jms@cis.upenn.edu Mon Jun 2 18:18:53 2003 From: jms@cis.upenn.edu (Jonathan M. Smith) Date: Mon, 02 Jun 2003 13:18:53 -0400 Subject: [KP-seed] some KP architectural thoughts In-Reply-To: <200306021638.JAA09281@gra.isi.edu> Message-ID: <5.2.0.9.0.20030602131658.021af310@central.cis.upenn.edu> But Bob - what if indices / directories were available? Not to endlessly abuse DNS, but the combo of DNS and a list of "well-known" port numbers goes a long way... -JMS At 09:38 AM 6/2/2003 -0700, Bob Braden wrote: > *> > *> Whether your "observations" or data items are active or passive has > *> nothing to do with scaling; it's an orthogonal issue. By necessity > >Karen, > >I don't think I believe that. Consider the extreme case of only >passive observations. You have to collect all data that might >conceivably ever be needed by any KP service, which is potentially an >immense amount of information. I think one could say that this does >not scale. If, OTOH, you passively collect a bounded set of >often-useful information and supplement it with active observations >when needed, it scales no worse than RSVP, and we all know how well >that is. And by caching information intelligently, we can probably >make it scale better, as I discusse in my talk at MIT. > >But your original "soup" note seemed to suggest that all the sensor data >would wander vaguely around the network looking for a consumer. That means >that each of these generators of huge data streams would radiate outward >from the source, flooding the Internet with traffic at each node >proportional to the total number of Internet nodes. Now, THAT does >not scale. I think that we need at least some explicitly directed >diffusion driven by active queries. > >I just don't like the soup metaphor. Magic won't save us from >catastrophic information overload in the KP. > > *> one will only be considering partial or local views no matter what. > *> As it is now, you can't talk to every other person in the world > *> simultaneously (or probably sequentially either, unless you plan to > *> live a lot longer than I) and we had better be imagining many more > *> "observations" (not to mention all the things that might potentially > *> be synthesized based on them) than there are people in the world. > *> > >Maybe we are having an agreement... I can't tell. > >Thanks, > >Bob >_______________________________________________ >Kp-seed mailing list >Kp-seed@mailman.isi.edu >http://mailman.isi.edu/mailman/listinfo/kp-seed From braden@ISI.EDU Mon Jun 2 23:26:57 2003 From: braden@ISI.EDU (Bob Braden) Date: Mon, 2 Jun 2003 15:26:57 -0700 (PDT) Subject: [KP-seed] Cognitive soup Message-ID: <200306022226.PAA09590@gra.isi.edu> *> *> I think that a cognitive system is the opposite of this view. I fancy *> a soup of data, recognizers, assertions, and so on. I imagine that *> different people, working on different objectives, would add *> different sets of these sorts of items to the KP, but they would all *> enter the soup. By using the term "k-app" to describe what these *> people are doing, we trigger a view that minimizes the image of a *> soup of stuff, and leads to a question as to whether a KP, as a *> holisic system, is needed at all. *> *> We are going to have some interesting debates about how much *> heterogeneity there must be in this cognitive soup. And we need a *> word to describe the fact that the process of using the KP to meet *> objectives for the network is a modular process. But I think K-app is *> the wrong word, with the wrong implications. I think if we stop *> saying "k-app", it will make it easier to argue for the virtue of the *> KP itself, and the holistic view. *> *> Dave *> Dave, Naively, perhaps, I imagine that the "cognitive soup" model implies that we much choose a common representation for all knowledge in the KP. Do you agree, and how will we go about making that choice? Pat says all representations are equivalent, but think that I have also seen the statement that cognitive effectiveness may depend upon the representation choice. Bob From faber@ISI.EDU Mon Jun 2 23:44:24 2003 From: faber@ISI.EDU (Ted Faber) Date: Mon, 2 Jun 2003 15:44:24 -0700 Subject: [KP-seed] some KP architectural thoughts In-Reply-To: <5.2.0.9.0.20030602131658.021af310@central.cis.upenn.edu> References: <200306021638.JAA09281@gra.isi.edu> <5.2.0.9.0.20030602131658.021af310@central.cis.upenn.edu> Message-ID: <20030602224424.GV31975@pun.isi.edu> --apSYfA7d5AHMku3c Content-Type: text/plain; charset=us-ascii Content-Disposition: inline On Mon, Jun 02, 2003 at 01:18:53PM -0400, Jonathan M. Smith wrote: > But Bob - what if indices / directories were available? Not to endlessly > abuse DNS, but the combo of DNS and a list of "well-known" port > numbers goes a long way... If the structure of your data matches the structure of the DNS name space, I agree with you. "Tell me ISI's 3 most congested mail servers" is a query that DNS/WKP-based think points would handle well. "Tell me Africa's 3 most congested mail servers" is a little less straightforward. Even if you're naming think points in the DNS and not data where do you start? Now, you may have meant "create a new set of hierarchies in DNS to hold KP data/think points," but that just begs the question of how to organize those hierarchies. A proliferation of many hierarchies has its own scaling problems. More interestingly, this may be a good opportunity to step back and see if a hierarchy really encourages applications that want to understand the network. It might be worthwhile to maybe apply some of the ideas of blending hierarchical and attribute-based naming systems to see if we can't be a little more expressive while keeping as much of the performance and scaling aspects of hierarchies. There's been some work on those kinds of interfaces in file systems and some distributed name resoloution work along non-hierarchical lines that might be interesting to throw at the problem. The distributed database guys probably have some ideas that I don't know about that could be pushed toward scalability. And then there's the possibility that some sort of major mindshifting naming strategy like sensor nets's diffusion routing will evolve. --apSYfA7d5AHMku3c Content-Type: application/pgp-signature Content-Disposition: inline -----BEGIN PGP SIGNATURE----- Version: GnuPG v1.2.2 (FreeBSD) iD8DBQE+29NIaUz3f+Zf+XsRAg8WAKD5GcczmvyDZ0J12V4pxKaRCG6nQQCePrbF ckjoIr0+exW0byCuGLumJqc= =Bf4J -----END PGP SIGNATURE----- --apSYfA7d5AHMku3c-- From faber@ISI.EDU Mon Jun 2 23:55:57 2003 From: faber@ISI.EDU (Ted Faber) Date: Mon, 2 Jun 2003 15:55:57 -0700 Subject: [KP-seed] Cognitive soup In-Reply-To: <200306022226.PAA09590@gra.isi.edu> References: <200306022226.PAA09590@gra.isi.edu> Message-ID: <20030602225557.GW31975@pun.isi.edu> --8M+BMcg+0CmQ2H7L Content-Type: text/plain; charset=us-ascii Content-Disposition: inline On Mon, Jun 02, 2003 at 03:26:57PM -0700, Bob Braden wrote: > *> > *> I think that a cognitive system is the opposite of this view. I fancy > *> a soup of data, recognizers, assertions, and so on. I imagine that > *> different people, working on different objectives, would add > *> different sets of these sorts of items to the KP, but they would all > *> enter the soup. By using the term "k-app" to describe what these > *> people are doing, we trigger a view that minimizes the image of a > *> soup of stuff, and leads to a question as to whether a KP, as a > *> holisic system, is needed at all. > *> > *> We are going to have some interesting debates about how much > *> heterogeneity there must be in this cognitive soup. And we need a > *> word to describe the fact that the process of using the KP to meet > *> objectives for the network is a modular process. But I think K-app is > *> the wrong word, with the wrong implications. I think if we stop > *> saying "k-app", it will make it easier to argue for the virtue of the > *> KP itself, and the holistic view. > *> > Naively, perhaps, I imagine that the "cognitive soup" model implies > that we much choose a common representation for all knowledge in the > KP. Do you agree, and how will we go about making that choice? Pat > says all representations are equivalent, but think that I have also > seen the statement that cognitive effectiveness may depend upon the > representation choice. While we have to pick some kind of representation, I would be careful about picking one that's tied to a specific machine learning system. In fact, I take Pat's statement as a good reason *not* to pick one that's tied to a machine learning representation - we don't know which of those representations will be best for which job so we need to stay model-agnostic. Now, that may not be possible, and if not, we have to pick, but I'd rather pick a generic form that can be used by as many ML paradigms (ick) as possible. The system that's generating data for K-apps needs to let K-apps ask for what they need, but perhaps only in the sorts of general proto-features that Tom was advocating. If an individual K-app needs to do some post processing to allow the network to keep a general interface, that's acceptable. I'm only half tuned into this congnitive soup thing, but it feels a lot like a Linda Tuple Space. If I think about it that way - cognitive soup == TS - what am I missing? --8M+BMcg+0CmQ2H7L Content-Type: application/pgp-signature Content-Disposition: inline -----BEGIN PGP SIGNATURE----- Version: GnuPG v1.2.2 (FreeBSD) iD8DBQE+29X9aUz3f+Zf+XsRArTFAKCGTXxDWJFc9M16pVR+DE+LzPYv7QCg253w eWYppdacOoFXX5NpYeFzdyg= =J1xS -----END PGP SIGNATURE----- --8M+BMcg+0CmQ2H7L-- From reh@pnphome.com Tue Jun 3 04:48:53 2003 From: reh@pnphome.com (Richard E. Howard) Date: Mon, 2 Jun 2003 23:48:53 -0400 Subject: [KP-seed] Cognitive soup In-Reply-To: <20030602225557.GW31975@pun.isi.edu> Message-ID: <004501c32983$10c02bb0$0201a8c0@rehvaio> If there is any question about the importance of representation in cognitive systems, check out the details of representation in speech and vision processing systems. Pixel maps or spectra don't work, but feature maps and cepstral coefficients do. Also note that a very small change in a pixel map (e.g. simple permutation) will render the picture unintelligible even to a human, but a small change in a feature map is much less serious. Note also that the representations that work are much more compact than the ineffective ones--this has profound implications on scaling and learning. I also believe that we have to choose representations carefully to match the structure of the data we are using. As with the visual and auditory cortices in the brain, we may need more than one representation to handle different data types. Rich Howard richard.e.howard@att.net -----Original Message----- From: kp-seed-admin@mailman.isi.edu [mailto:kp-seed-admin@mailman.isi.edu] On Behalf Of Ted Faber Sent: Monday, June 02, 2003 6:56 PM To: Bob Braden Cc: ddc@lcs.mit.edu; kp-seed@ISI.EDU Subject: Re: [KP-seed] Cognitive soup On Mon, Jun 02, 2003 at 03:26:57PM -0700, Bob Braden wrote: > *> > *> I think that a cognitive system is the opposite of this view. I fancy > *> a soup of data, recognizers, assertions, and so on. I imagine that > *> different people, working on different objectives, would add > *> different sets of these sorts of items to the KP, but they would all > *> enter the soup. By using the term "k-app" to describe what these > *> people are doing, we trigger a view that minimizes the image of a > *> soup of stuff, and leads to a question as to whether a KP, as a > *> holisic system, is needed at all. > *> > *> We are going to have some interesting debates about how much > *> heterogeneity there must be in this cognitive soup. And we need a > *> word to describe the fact that the process of using the KP to meet > *> objectives for the network is a modular process. But I think K-app is > *> the wrong word, with the wrong implications. I think if we stop > *> saying "k-app", it will make it easier to argue for the virtue of the > *> KP itself, and the holistic view. > *> > Naively, perhaps, I imagine that the "cognitive soup" model implies > that we much choose a common representation for all knowledge in the > KP. Do you agree, and how will we go about making that choice? Pat > says all representations are equivalent, but think that I have also > seen the statement that cognitive effectiveness may depend upon the > representation choice. While we have to pick some kind of representation, I would be careful about picking one that's tied to a specific machine learning system. In fact, I take Pat's statement as a good reason *not* to pick one that's tied to a machine learning representation - we don't know which of those representations will be best for which job so we need to stay model-agnostic. Now, that may not be possible, and if not, we have to pick, but I'd rather pick a generic form that can be used by as many ML paradigms (ick) as possible. The system that's generating data for K-apps needs to let K-apps ask for what they need, but perhaps only in the sorts of general proto-features that Tom was advocating. If an individual K-app needs to do some post processing to allow the network to keep a general interface, that's acceptable. I'm only half tuned into this congnitive soup thing, but it feels a lot like a Linda Tuple Space. If I think about it that way - cognitive soup == TS - what am I missing? From tgd@cs.orst.edu Tue Jun 3 07:01:12 2003 From: tgd@cs.orst.edu (Thomas G. Dietterich) Date: Mon, 2 Jun 2003 23:01:12 -0700 Subject: [KP-seed] Diagnosis and the KP Message-ID: <9601-Mon02Jun2003230112-0700-tgd@cs.orst.edu> Hello everyone, In this message, I present an analysis of Jennifer Rexford's wonderful www.example.com example. --Tom Before diving into the details, here are some general thoughts about diagnosis and the KP architecture. I find it useful to think in terms of Think Points (TPs) and K-apps, despite the admonishments not to do so in recent emails. I talk as if TPs are making inferences, learning, etc. but I really mean that some K-app running somewhere is doing this. 1. OVERALL METHODOLOGY For diagnosis, I suggest an approach in which networking researchers or network managers identify possible faults, possible measurements, and the relationships between them and enter this information into the diagnostic K-app. (I.e., the machine learning system is not responsible for learning new faults, inventing new ways of measuring things, etc.) [This is not a full-fledged model-based approach. In a full approach, the knowledge base would contain a model capable of simulating in detail the network protocols and the measurement processes. This would be an excellent area for research in machine learning and probabilistic reasoning, but I don't want to do that research just now. A major challenge in that research is that correct formulation of a "working network path" requires a description that is quantified over all of the intermediate links, switches, and routers. Reasoning with an arbitrary-sized collection of objects is beyond the state-of-the-art in machine learning. It presumably requires something like recursive rules in prolog (but with probabilities attached).] The role for machine learning is to learn the probabilities in the model (frequency of occurrence of the faults, probability that the fault produces the symptom) and the costs of the measurements (presumably in terms of time, but also perhaps in terms of added network traffic). The inference engine can then perform something along the lines of what PnP is doing or simpler heuristic methods such as those developed by David Heckerman and colleagues at Microsoft Research. The key idea is to choose the measurement/observation/query that would provide the most cost-effective information about the possible faults. Effectiveness = reduces our uncertainty about the root cause; Cost = time/traffic required to make the measurement. (More subtle methods are possible and desirable, I'm just trying to give an intuition.) This form of reasoning is different from the informal "trace" that Jennifer provided. In her trace, she basically considers and explores one hypothesis at a time. AI diagnostic systems, in contrast, typically consider the whole universe of possible faults (often abstracted into groups for efficiency) and play a "20 questions" game to get to the root cause in log time. 2. LAZY VERSUS EAGER At the Cambridge meeting, Chris suggested an eager approach to diagnosis. As the email discussion has suggested, there are probably scaling problems with this, and a mixed strategy will probably be best. There is a wonderful paper by Mahajan, Wetherall, Anderson ("Understanding BGP Misconfiguration"; http://www.cs.washington.edu/homes/ratul/bgp/) that describes a "data mining" study of the RouteViews data. I can easily imagine implementing a TP that does this kind of analysis on an on-going basis and posts hypotheses about "AS prepending typos", "router initialization bugs", and some of the other faults that they observed. This TP might ask other TPs to investigate these hypotheses. For example, if the RouteViews data suggests a possible typo (as in Jennifer's example) in which the AS number 7081 (ISI?) is misstyped as 7018 (ATT), the RouteViews TP could ask the TP for 7018 (ATT) to investigate this. ATT's TP can make a definitive diagnosis, because it can check whether the address block advertised by 7081 corresponds to an ATT customer (or peer). If not, ATT can't reach it, and it is clearly wrong. Note that ATT's TP can make use of proprietary information to make this diagnosis, but then it can inform the RouteViews TP of the results (and perhaps also inform the 7081 TP). So this could be done in an eager fashion, as suggested by Chris. However, there are some things that I believe must be done in a lazy fashion, once a problem has been identified. It is not feasible to do eager checking of the paths from every client on the internet to every host on the internet (and back). So if a customer complains that they can't reach www.example.com, we need to initiate a diagnosis process. High probability hypotheses include things like "ethernet cable unplugged", "DHCP lease needs to be renewed", and these are best checked locally before bothering any AS-level think point. Once local root causes are eliminated (or at least become very unlikely), it probably makes sense for the customer's TP to ask an AS-level TP to take over the diagnostic process. There are several reasons for this: (a) the AS TP may already have identified the problem and cached the result, (b) the AS TP may be able to make measurements more cheaply, (c) the AS TP is probably a more powerful computer that can do the inference faster, (d) the AS TP can have access to proprietary information not available to the customer, (e) the AS TP can authenticate the customer request and then make secondary requests to foreign TPs on behalf of the customer. These requests can be authenticated by the foreign TPs (who would presumably not be in a position to authenticate customer requests). If the AS is not implementing the diagnostic K-app, then the customer needs to be able to request service from higher-level TPs. I imagine it might make sense to have TPs that basically form models of the internal structure of non-cooperating ASs and answer queries in place of those ASs. 3. REPRESENTATION I suspect we will want a representation that is richer than key-value representations. We need to be able to represent information like CanReach(customer1,host2), which is relational. I suppose a linda-like tuple space could handle this nicely. In any case, I'm sure we can adopt some representational formalism that can support a wide range of K-apps. As has been mentioned, the content of the representation (vocabulary, spatial/temporal resolution, etc.) is critical to the success of machine learning methods. But the syntax of the representation is much less relevant as long as it is sufficiently flexible and expressive. We will want to make provisions for meta-data (authoritative source, date and time asserted, time-to-live, etc.). We should support floating-point values in some machine-independent way. 4. LEARNING The machine learning process needs to collect "training examples" of solved problems. These must include - symptoms - measurements performed, results obtained, costs of measurements - root cause (if determined) - repair (if repaired) "measurements" should also include repair attempts (e.g., "rebooting name servers did not fix problem"). To collect these training examples, some TP must collect this information and then either pass it to the learner (which perhaps lives on one or more TPs) or else collect sufficient statistics and pass those to the learner (as I suggested in Cambridge). Different TPs will be able to determine different kinds of root causes (see analysis below), so we will need some routing scheme to get this information from various diagnostic TPs to the learning TPs. The learning system can routinely update its diagnostic information and then distribute the updated probabilities throughout the KP. For example, the TP in each customer's machine needs to get data about the relative probability of local faults versus faults elsewhere in the internet in order to know when to punt to the AS TP and beyond. Each customer-TP may want to have its own learning K-app that adapts the global model to take into account its own estimate of how often this customer unplugs the ethernet cable, moves the machine to a new network, etc. More thought is needed to consider the privacy issues in sharing these local statistics with the global diagnosis K-app. [Begin irrelevant anecdote: This brings to mind my favorite data mining story. InformationWeek reported that a medical data mining project discovered one doctor's office with a very high incidence of hemorrhoids. It turned out that the staff was coding the database entries of difficult patients as having hemorrhoids to indicate that they were "pains in the ass". End irrelevant anecdote.] Similarly, AS TPs may want to build their own models of failure probabilities (and fate sharing) within the AS. Maybe we should adopt some kind of subscription model TPs to subscribe to statistics and models collected elsewhere. One can even imagine commercial TPs selling data and/or learned models. 5. ANALYSIS Here is a lengthy analysis of Jennifer Rexford's "prepending typo" scenario. TAXONOMY OF POSSIBLE FAULTS: The following is written from the perspective of "our AS" which has a customer who can't reach www.example.com. (?) indicates my near-total ignorance (and probably should be scattered more liberally). 1 customer is disconnected from net 1.1 customer is disconnected from net locally 1.1.1 ethernet card disconnected 1.1.2 cable from computer to net disconnected 1.1.3 customer local net misconfigured 1.1.4 cable modem not working (no power, broken, confused) 1.1.5 cable to customer house bad 1.2 customer is disconnected by within-our-AS network partition 1.2.1 some link is down 1.2.2 some router or switch is down 1.3 our AS is disconnected from rest of net 2 network connectivity problem (physical or link layer) 2.1 problem somewhere between customer and ADDR2 3 customer is failing to resolve www.example.com 3.1 local machine is misconfigured (wrong address for NS) 3.1.1 DHCP lease needs to be renewed 3.2 name server is down 3.3 customer can't reach name server (recursively) 4 customer is getting bad address for www.example.com 4.1 NS is giving wrong address 4.1.1 CDN is giving wrong address 5 our AS has routing problem 5.1 OSPF problem (?) 5.2 router outage not yet routed around by OSPF (?) 6 BGP path is wrong 6.1 prepending typo by some AS 6.2 updates (e.g., in response to failure) have not propagated yet 6.3 bad routes have been injected by router initialization bug 7 congestion is causing packet loss at intermediate switch SYMPTOMS PRODUCED BY EACH FAULT (very incomplete!) 1 customer is disconnected from net 1.1 customer is disconnected from net locally S1 customer can't reach any hosts 1.1.1 ethernet card disconnected 1.1.2 cable from computer to net disconnected S2 cable disconnected icon appears in system tray S3 cable is visibly disconnected 1.1.3 customer local net misconfigured 1.1.4 cable modem not working (no power, broken, confused) S4 cable modem light is out 1.1.5 cable to customer house bad S5 cable TV is also not working 1.2 customer is disconnected by within-our-AS network partition S6 customer can reach some sites hosted by this AS but not others S7 customer cannot reach sites outside our AS 1.2.1 some link is down S8 traceroute from customer to outside AS site ends inside our AS note: this requires knowledge of boundaries of our AS 1.2.2 some router or switch is down S8 traceroute from customer to outside AS site ends inside our AS note: this requires knowledge of boundaries of our AS 1.3 our AS is disconnected from rest of net S9 noone in our AS can talk to rest of net 2 network connectivity problem (physical or link layer) outside our AS S10 traceroute from customer to ADDR2 ends outside our AS 3 customer is failing to resolve www.example.com S11 nslookup/dig at customer location fails 3.1 local machine is misconfigured (wrong address for NS) 3.1.1 DHCP lease needs to be renewed S12 DHCP renew fixed problem 3.2 name server is down S13 traceroute to name server ends at nameserver 3.3 customer can't reach name server (recursively) S14 ping/traceroute to name server fails 4 customer is getting bad address for www.example.com S15 no one advertises this address S16 ping: 100% packet loss from all starting points 4.1 NS is giving wrong address 4.1.1 CDN is giving wrong address 5 our AS has routing problem 5.1 OSPF problem (?) 5.2 router outage not yet routed around by OSPF (?) 6 BGP path is wrong 6.1 prepending typo by some AS S17 routeviews shows suspicious sequence of AS numbers 6.2 updates (e.g., in response to failure) have not propagated yet S18 problem goes away in a few minutes when new route is advertised 6.3 bad routes have been injected by router initialization bug S19 problem goes away in a few minutes 7 congestion is causing packet loss at intermediate switch S20 traceroute reports large rate (but not 100%) packet loss SENSORS: I've attempted to list all of the sensors used in the above symptoms list. Some of them are just "raw" sensors that require further analysis (see below). 1. ping from DX to arbitrary address 2. ping from customer location to arbitrary address 3. visual check of customer computer cable connection 4. visual check of system tray disconnection icon 5. visual check of cable modem light 6. visual check: cable TV is working ok 7. web browser from customer location to arbitrary address 8. traceroute from customer location to arbitrary address 9. traceroute from other locations inside our AS to arbitrary addresses 10. nslookup/dig from customer location of arbitrary address 11. nslookup/dig from arbitrary location of arbitrary address 12. ipconfig on customer machine 13. ipconfig /renew on customer machine 14. lookup BGP advertisements at arbitrary border gateway for arbitrary address 15. ping and traceroute from arbitrary location to arbitrary address Sensor analysis needed (sometimes called virtual sensors) 1. check BGP advertisements for possible prepending typos 2. check age of BGP table entries 3. analyze last good point in traceroute is it inside our AS? is it outside our AS? 4. analyze first bad point in traceroute is it at target address? is it before target address? 5. compare multiple NS lookups to see if they agree or disagree 6. analyze traceroute/ping to get packet loss statistics EAGER VERSUS LAZY ANALYSIS: Which of these sensor readings could be processed in an eager fashion and propagated throughout the KP? - must be slowly changing - must be rare 1. checks of name service regularities lack of connectivity between name servers and their parents and children detect which IP addresses have multiple names (as a result of CDNs) 2. checks of BGP regularities [see Mahajan, Wetherall, Anderson: Understanding BGP Misconfiguration] short-lived appearance of new route self deaggregation foreign origin of new route check for BGP typos random checks of BGP advertisements against actual paths taken 3. congestion problems flash crowds 4. intrusion problems LEARNING: This is an attempt to list for each type of fault which TP would be able to make the definitive diagnosis of the root cause (and then perhaps report it to a learning TP). 1. From TP on customer's edge machine 1.1 customer is disconnected from net locally 1.1.1 ethernet card disconnected 1.1.2 cable from computer to net disconnected 1.1.3 customer local net misconfigured 1.1.4 cable modem not working (no power, broken, confused) 1.1.5 cable to customer house bad 1.2 customer is disconnected by within-our-AS network partition 3 customer is failing to resolve www.example.com 3.1 local machine is misconfigured (wrong address for NS) 3.1.1 DHCP lease needs to be renewed 3.3 customer can't reach name server (recursively) 2. From TP in our AS 1.2.1 some link is down 1.2.2 some router or switch is down 1.3 our AS is disconnected from rest of net 3.2 name server is down 3. From TP in other AS 7 congestion is causing packet loss at intermediate switch 4. From TP at RouteViews 4 customer is getting bad address for www.example.com 6.1 prepending typo by some AS 6.2 updates (e.g., in response to failure) have not propagated yet 6.3 bad routes have been injected by router initialization bug From chrisramming@yahoo.com Tue Jun 3 15:39:09 2003 From: chrisramming@yahoo.com (J. Christopher Ramming) Date: Tue, 3 Jun 2003 07:39:09 -0700 (PDT) Subject: [KP-seed] agenda for 2pm (mailing list problem?) Message-ID: <20030603143909.14778.qmail@web41510.mail.yahoo.com> Hi All. The agenda and note I sent around last night seem to be stuck somewhere, so I'm resending. Not sure if this will go through either... Sorry for the effectively late notice. Chris --- Tuesday, 6/3/2003, 2pm EDT Conference bridge: 800-771-7760, participant code 620599 0. Review of agenda (all) Report on responses to "rethinking agenda" topic (jcr) 1. Recent meeting reports/news (all) 6/3 IPTO PM discussions 2. Upcoming meetings, conferences, events of interest (all) 6/4-6/6 Policy 2003 http://www.labs.agilent.com/policy2003/ 6/11 Workshop on A&A for Self-Managing Systems http://tesla.hpl.hp.com/self-manage03/ Known attendees: Jennifer Michael Eitan Chris 6/13 SIGCOMM final paper deadline 6/17-20 Possible DARPA briefings / jcr updates on CN to PMs and DIRs 8/10 IJCAI-2003 http://www.research.ibm.com/ACworkshop 3. Programmatic o New start briefing formulation (Ramming) 4. Cognitive Networking Problem Formulations o Diagnostic scenarios - A new formulation of the "Why?" k-pability (Clark) - Cascading failures? (Dietterich) o Configuration scenario (Poylisher) 3. Research foundations o Experimental Design for Cognitive Systems o Survey of available data sources (PnP) - ROC (Ramming) - AOL (Ramming) - Parunak (from Internet2) o Available testbeds and simulators (???) - 5-million node, 500 AS network simulator at Georgia Tech (Ramming) - PlanetLab relationship (Braden) o Network analysis algorithms (Johnson & Gudkov) 5. Knowledge Plane Architecture o Outline of architectural elements / document (Braden) o Objectives (Langley & MIT) o Requirements (Dietterich & ISI & Sabata) 6. Risks (All) o Structural roadmap idea from semiconductor industry (Ramming) From chrisramming@yahoo.com Tue Jun 3 07:40:55 2003 From: chrisramming@yahoo.com (J. Christopher Ramming) Date: Mon, 2 Jun 2003 23:40:55 -0700 (PDT) Subject: [KP-seed] 2pm 6/3 status call agenda Message-ID: <20030603064055.20248.qmail@web41502.mail.yahoo.com> --0-1741564649-1054622455=:19455 Content-Type: text/plain; charset=us-ascii Content-Id: Content-Disposition: inline Hi All, Here's the agenda for tomorrow. I will report on feedback concerning "rethinking the agenda" at the beginning of the call. Attached are some draft slides I've assembled to cover some of the directions that might be taken during tomorrow's discussion of the Knowledge Plane. Not sure if many/any of them will be relevant but it was interesting to go back and think about addressing the Heilmeier questions based on what we know today. Chris ---------- Tuesday, 6/3/2003, 2pm EDT Conference bridge: 800-771-7760, participant code 620599 0. Review of agenda (all) Report on responses to "rethinking agenda" topic (jcr) 1. Recent meeting reports/news (all) 6/3 IPTO PM discussions 2. Upcoming meetings, conferences, events of interest (all) 6/4-6/6 Policy 2003 http://www.labs.agilent.com/policy2003/ 6/11 Workshop on A&A for Self-Managing Systems http://tesla.hpl.hp.com/self-manage03/ Known attendees: Jennifer Michael Eitan Chris 6/13 SIGCOMM final paper deadline 6/17-20 Possible DARPA briefings / jcr updates on CN to PMs and DIRs 8/10 IJCAI-2003 http://www.research.ibm.com/ACworkshop 3. Programmatic o New start briefing formulation (Ramming) 4. Cognitive Networking Problem Formulations o Diagnostic scenarios - A new formulation of the "Why?" k-pability (Clark) - Cascading failures? (Dietterich) o Configuration scenario (Poylisher) 3. Research foundations o Experimental Design for Cognitive Systems o Survey of available data sources (PnP) - ROC (Ramming) - AOL (Ramming) - Parunak (from Internet2) o Available testbeds and simulators (???) - 5-million node, 500 AS network simulator at Georgia Tech (Ramming) - PlanetLab relationship (Braden) o Network analysis algorithms (Johnson & Gudkov) 5. Knowledge Plane Architecture o Outline of architectural elements / document (Braden) o Objectives (Langley & MIT) o Requirements (Dietterich & ISI & Sabata) 6. 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