Dear All, Here are the responses to issues #8 #10 #14 #27 #34, which are related to computing resource measurement. Besides the responses, there are also some references to address some of the issues:
Computing resource modeling for CAN: https://datatracker.ietf.org/doc/draft-liu-can-computing-resource-modeling/ IFIP Networking 2022 paper: paper#4 at https://networking.ifip.org/2022/index.php/accepted-paper-list (PDF is available on request to authors since proceedings are not yet available online) This email is also copied to the questioner (https://datatracker.ietf.org/doc/minutes-113-can/), hope for further suggestions and confirmations. Any comments are welcome. Thanks. #8 Why compute resource is different with other resources? From the network-based perspective, it could be found that compute resources are also often measured in terms similar to network resources (e.g., request throughput, request completion times). However, compute resource are heterogeneous to have different kind of chips, hardwares, components, etc. and the usage of compute resources are often more service-specific than the sharing of network resources over a possibly large number of services. Hence, decisions on which compute resources to use out of possibly many needs to take service-specific compute resource metrics into account, in addition to the network resources being used.” #10 Is computing resource measurable? It is, and how to use the measurement would be solution related. See IFIP Networking 2022 paper on how to simply expose “computing capability” and achieve better steering with such simple measure, and draft-liu-can-computing-modeling-00 gives some references for modeling itself. #14 Each application may have a different definition of resources, so if CAN wants to use computing resource metrics, it should be a unified metric/method to use the metric with network. Otherwise, it will be a per app solution, and is not scalable. Indeed, there needs to be a common understanding on which basis traffic steering decisions are made. This basis is represented by a unified metric/method that can be used across possibly many apps, instead of relying on per-app solutions. #27 Clarifications on the computing resource, its requirements and characteristics would be helpful. Good comments, some background of computing resource and characteristics could be found in draft-liu-can-computing-modeling-00 for reference. The IFIP networking paper uses a simple capability metric, and the 'load', 'session number' also be used in some of the dyncast related POCs. #34 It is hard to use existing work to measure the computation, but we can optimize the latency through the performance monitoring. We have performance/measurement matrix over there. [Greg Mirsky] Thanks. That is one of the options. Any detailed discussion is expected to be only within dyncast mailing list. You can also check and add your comments to any of them(https://github.com/CAN-IETF/CAN-BoF-ietf113/issues). Regards, Peng [email protected] From: Linda Dunbar Date: 2022-05-11 06:11 To: [email protected] Subject: [Dyncast] Categories of the CAN BoF issues CAN BoF proponents: Many thanks for creating the CAN BoF issues tracking in the Github: https://github.com/CAN-IETF/CAN-BoF-ietf113/issues/created_by/CAN-IETF?page=1&q=is%3Aopen+is%3Aissue+author%3ACAN-IETF I went through the issues captured in the Github and characterized them into groups. Some issues can be lumped together for the discussion. There are quite a few issues related to the requirements, which need to be clarified. Best Regards, Linda Issues associated with Applications vs. Underlay networks: Consider not to load underlay network with application details. #35 We have multiple upper layer application. Do we have additional needs for routing(e.g. WG?) or we are using those applications and won't need such new WG? #30 It needs application information too, so it can't just make a decision at the network layer. #23 This is not striked as a routing problem; it's all service discovery that can be done in higher layers. #21 3GPP and URSP solve this based on UPF selection. It uses both endpoint + application. #20 One overlay plane per application. Resources/metric specific to the plane. #19 How does the application layer or the transport layer learn the network status to steering traffic? #16 Need more clear requirements for CAN (to be addressed by draft-liu-dyncast-ps-usecases): Need to understand if three are requirement to avoid extra messages or 1ms of latency #36 Regarding the flow affinity, is it from network perspective or from application/computation perspective? #33 How to effectively compute paths? Shall we put CPUs into account? #32 What happens when the user moves? If so we also need to move application context. #25 It can only move the services around as fast as it can update the routing plane. which comes back to the point about service discovery (waiting for convergence/distribution as opposed to just updating the SD server) #24 Whether the interests of the organization deploying the application and the organization providing the network connectivity are aligned. Google doesn't worry about this because they are both. #17 The question is more what the scope and semantic of information is that will need to cross organizational boundaries. This needs further study, in particular when assuming stakeholder division between service and network provider. It seems impossible to satisfy that requirement simultaneously with the latency requirement. #15 It wasn't clear that how hard of a requirement session persistence is. #13 A session usually creates ephemeral state. If execution changes from one (e.g., virtualized) service instance to another, state/context needs transfer to another. Such required transfer of state/context makes it desirable to have session persistence (or instance affinity) as the default, removing the need for explicit context transfer, while also supporting an explicit state/context transfer (e.g., when metrics change significantly). Should it select UPF based on the application? Steering is done per user? or per application? #9 This seems to assume conventional non-distributed applications just running at the edge. what about modern frameworks like Sapphire? and Ray? #7 It would be good to understand the multi-site requirements of such framework, which I have understood to mainly run in single DCs. Relation to 3GPP UPF #6 Relation to ALTO #5 Do the mobility issues and associated protocols are also in scope? There are scenarios where routing alone would not be sufficient. #4 What is the position in the edge location regarding to UPF? #3 Is there some sort of authorization model so that an edge can indicate whether or not it will provide compute services? #2 What is CNC and the relationship with CAN #1 Measurement of the Computing Resources (to be addressed by draft-du-computing-resource-representation): It is hard to use existing work to measure the computation, but we can optimize the latency through the performance monitoring. We have performance/measurement matrix over there. #34 Clarifications on the computing resource, its requirements and characteristics would be helpful. #27 Each application may have a different definition of "resources" these then have to be boiled down into a single topology Network Aware Computing (NAC! :) does scale #14 Is computing resource measurable? #10 It is, and how to use the measurement would be solution related. See IFIP Networking 2022 paper on how to simply expose “computing capability” and achieve better steering with such simple measure. Why compute resource is different with other resources? #8 Load Balance based solutions: The point is that we need a standardized LB protocol #18 The LB as part of the application itself is superior (part of the distributed application itself is to obtain and keep updating the "best" unicast location to use). #22 If there is anything missing from current lbs that would prevent their use as-is? other than there is for market reasons no interop standard between different lbs? #12 For the load balance, should it learn the network’s status? #11 Dyncast based Solution issues: For Dyncast, when the time is short, is it possible for the router to decide the routing? It is too fast. #31 Is dyncast proposed to encapsulate? #29 Will CAN dyncast impact each and every router? How to avoid loops? #28 What's the assumed scale of a D-router? 10 ^ 6 sessions? 100^ 8? What's the assumed update rate? !Gb? 1Tb? #26
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