Cogprot a framework for cognitive configuration and optimization of communication protocols
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Barcelona, 11 th May 2010. CogProt: A Framework for Cognitive Configuration and Optimization of Communication Protocols. Dzmitry Kliazovich University of Luxembourg, Luxembourg. Neumar Malheiros, University of Campinas, Brazil Nelson L. S. da Fonseca, Edmundo Madeira.

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CogProt: A Framework for Cognitive Configuration and Optimization of Communication Protocols

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Cogprot a framework for cognitive configuration and optimization of communication protocols

Barcelona, 11th May 2010

CogProt: A Framework for CognitiveConfiguration and Optimization ofCommunication Protocols

Dzmitry KliazovichUniversity of Luxembourg, Luxembourg

Neumar Malheiros,University of Campinas, Brazil

Nelson L. S. da Fonseca,

Edmundo Madeira

Fabrizio GranelliUniversity of Trento, Italy


Outline

Outline

  • Introduction

  • The Cognitive Framework

  • Performance Evaluation

  • Conclusion


Motivation

Motivation

  • Advancements in network technologies dramatically increased management complexity

  • Degradation of performance due to time-varying network conditions is a challenging issue.

  • It is not always possible to anticipate the best setup due to the unpredictable state of the network.


Cogprot a framework for cognitive configuration and optimization of communication protocols

Goal

  • A novel approach to dynamic reconfiguration of network protocols

    • Cognitive networking

    • Cross-layer design

    • Distributed decision-making


The proposed solution

The Proposed Solution

  • CogProt: cognitive framework for dynamic adjustment of communication protocols

    • Support initial setup and runtime reconfiguration

    • Decentralized

    • Incremental deployment

    • Low processing requirements

    • TCP/IP compliant


Cogprot overview

CogProt Overview


The cognitive loop

The Cognitive Loop


Performance evaluation

Performance Evaluation

  • Ns-2 simulations

  • Parameter of interest: increase factor of the TCP congestion window


Average throughput

Average Throughput


Throughput over time

Throughput over Time


Conclusion

Conclusion

  • We have proposed a distributed cognitive framework to deal with management complexity and avoid performance degradation

  • No changes on standard protocol messages or operation.

  • Incremental deployment

  • Wide range of tunable parameters


Future work

Future Work

  • Evaluation of other probability distributions

  • Application to other TCP/IP protocols

  • Real implementation

  • Further development of CIS architecture and signaling


Thank you neumar malheiros ncm@ic unicamp br

Thank you.Neumar [email protected]


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