Queuing models for peer-to-peer systems

Taoyu Li, Minghua Chen, Dah-Ming Chiu, Maoke Chen

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

16 Citations (Scopus)

Abstract

Recent development of peer-to-peer (P2P) services (e.g. streaming, file sharing, and storage) systems introduces a new type of queue systems not studied before. In these new systems, both job and server arrive and depart randomly. The server dynamics may or may not correlate to the job dynamics. Motivated by these observations, we develop queuing models for P2P service systems and a taxonomy for different variations of these queueing models. For several basic classes of these systems, we show that they are stable, i.e. all arriving job will be served and cleared in finite time, if the average workload does not exceed the average system service capacity. Numerical experiments verify our results, and indicate that higher server dynamics lead to less time a job spends in the system on average.
Original languageEnglish
Title of host publicationProceedings of the 8th International Workshop on Peer-to-Peer Systems, IPTPS 2009
PublisherUSENIX Association
Publication statusPublished - 2009
Externally publishedYes
Event8th International Workshop on Peer-to-Peer Systems, IPTPS 2009 - Boston, United States
Duration: 21 Apr 2009 → …

Publication series

NameProceedings of the 8th International Workshop on Peer-to-Peer Systems, IPTPS 2009

Conference

Conference8th International Workshop on Peer-to-Peer Systems, IPTPS 2009
PlaceUnited States
CityBoston
Period21/04/09 → …

Bibliographical note

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