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Rina acc-icc16-stein

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RINA Aggregate Congestion Control presentation for IEEE ICC 2016

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Rina acc-icc16-stein

  1. 1. Congestion Control in the Recursive InterNetworking Architecture (RINA) Presenter: Stein Gjessing Authors: Peyman Teymoori, Michael Welzl, Stein Gjessing, UiO, Norway Eduard Grasa, i2CAT, Spain Roberto Riggio, Kewin Rausch, Domenico Siracusa, CREATE-NET, Italy May 24, 2016
  2. 2. 2 Congestion Control in the Internet •  Problems with the Internet: –  TCP scalability with: •  The diameter of the network •  The number of flows •  The bottleneck link capacity –  Split-TCP (PEPs): •  IPsec and SSL •  Scalability with the number of flows •  Processing delay at splitters •  This presentation: Highlighting RINA Congestion Control (CC) benefits Showing that improvements that have been done to TCP on the internet "naturally appear" with RINA without their side effects PEP: Performance Enhancing Proxy
  3. 3. 3 Recursive InterNetworking Architecture (RINA) •  A back to basics approach learning from the experience with TCP/IP •  In RINA, every layer (called a “Distributed InterProcess Communication (IPC) Facility” (DIF)) has the same set of mechanisms and goal: –  providing and managing the communication among its entities •  Behaviour is defined by “policies” that can be programmed differently in various DIFs.
  4. 4. 4 Some DIF Configurations in RINA •  Two possible RINA stack configurations by different organizations of “Distributed InterProcessCommunication Facilities” (DIFs)
  5. 5. 5 Implementation – the general scheme •  Aggregate Congestion Control (ACC) “Error and Flow Control Protocol” (EFCP), “Relaying and Multiplexing Task” (RMT), “Resource Allocation” (RA).
  6. 6. 6 Horizontal: Consecutive DIFs Topology: Results:
  7. 7. 7 Vertical: Stacked DIFs Topology: Results: 1 sender, 1 receiver: Sender sends flow 1 (large) at 0, and flow 2 (small) at time 10.
  8. 8. 8 Around: In-Network Resource Pooling •  A follow-up to: Psaras, Ioannis, Lorenzo Saino, and George Pavlou. "Revisiting Resource Pooling: The Case for In-Network Resource Sharing." Proceedings of the 13th ACM Workshop on Hot Topics in Networks. ACM, 2014 •  Easily implementable in RINA by an RMT routing policy S1 S2 R1 R2 Router1 Router3 Router2 Router4 10 Mbps 10 Mbps 2 Mbps 3 Mbps 3 Mbps 10 Mbps 10 Mbps 10 Mbps local stability, global fairness (1:1) Result: Jain’s fairness index for the two flows was 0.999, which shows global fairness while local stability was provided through RINA-ACC
  9. 9. 9 Discussion •  RINA can solve the Internet problems by –  breaking up the long control loop into shorter ones, –  controlling flow aggregates inside the network, and –  enabling the deployment of arbitrary congestion control mechanisms per DIF.
  10. 10. 10 Future work •  how to effectively manage buffers between DIFs, •  which hop-by-hop congestion controllers are best to use, given their stability and scalability properties, •  how to best apply in-network resource pooling, •  effects of different congestion control policies at lower DIFs on congestion control policies of upper DIFs, and •  how large a DIF can be without performance degradation, and how its scalability can be improved.
  11. 11. 11 Thank you! Questions?

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