A network processor for a learning based routing protocol

H Terzioglu, T Kocak

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

1 Citation (Scopus)
254 Downloads (Pure)

Abstract

Recently, cognitive packet network (CPN) is proposed as an alternative to the IP based network architectures and shows similarity with the discrete active networks. In CPN, there is no routing table, instead reinforcement learning (random neural networks) is used to route packets. CPN routes packets based on QoS, using measurements that are constantly collected by packets and deposited in mailboxes at routers. The applicability of the CPN concept has been demonstrated through several software implementations. However, higher data traffic and increasing packet processing demands require the implementation of this new network architecture in hardware. In this paper, we present a network processor architecture, which supports this learning based protocol.
Translated title of the contributionA network processor for a learning based routing protocol
Original languageEnglish
Title of host publication2nd Annual IEEE Northeast Workshop on Circuits and Systems, Montreal, Canada
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages261 - 264
Number of pages4
Volume1
ISBN (Print)0780383222
DOIs
Publication statusPublished - 20 Jun 2004
Event2nd IEEE Northeast Workshop on Circuits and Systems - Montreal, Canada
Duration: 1 Jun 2004 → …

Conference

Conference2nd IEEE Northeast Workshop on Circuits and Systems
Country/TerritoryCanada
CityMontreal
Period1/06/04 → …

Bibliographical note

Conference Proceedings/Title of Journal: 2nd Annual IEEE Northeast Workshop on Circuits and Systems
Conference Organiser: IEEE
Rose publication type: Conference contribution

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Keywords

  • routing protocols
  • active networks
  • neural net architecture
  • quality of service

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