GA-based automated task assignment on network processors

Shoumeng Yan, Xingshe Zhou, Lingmin Wang, Haipeng Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

A problem that must be faced when designing systems based on network processors (NPs) is how to assign the packet-processing tasks to the processor pipeline consisting of many processing engines. Nowadays, this work is done manually, which is error-prone and inefficient. To alleviate this, this paper proposes a genetic algorithmbased method to assign processing tasks to processing engines automatically. Experiments show that this method can quickly obtain near-optimal solutions from the large solution space and the algorithm execution time is decoupled with pipeline stages.

Original languageEnglish
Title of host publicationProceedings - 11th International Conference on Parallel and Distributed Systems Workshops, ICPADS 2005
EditorsL. Barolli
Pages112-118
Number of pages7
DOIs
StatePublished - 2005
Event11th International Conference on Parallel and Distributed Systems Workshops, ICPADS 2005 - Fukuoka, Japan
Duration: 20 Jul 200522 Jul 2005

Publication series

NameProceedings of the International Conference on Parallel and Distributed Systems - ICPADS
Volume1
ISSN (Print)1521-9097

Conference

Conference11th International Conference on Parallel and Distributed Systems Workshops, ICPADS 2005
Country/TerritoryJapan
CityFukuoka
Period20/07/0522/07/05

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