NDLI: On the impact of popularity decays in peer-to-peer VoD systems

Content Provider	IEEE Xplore Digital Library
Author	Fei Chen Haitao Li Jiangchuan Liu
Copyright Year	2013
Description	Author affiliation: Sch. of Comput. Sci., Simon Fraser Univ., Burnaby, BC, Canada (Fei Chen; Haitao Li; Jiangchuan Liu)
Abstract	Today's peer-to-peer (P2P) Video-on-Demand (VoD) systems are known to be highly scalable in a steady state. For the dynamic scenario, much effort has been spent on accommodating sharply increasing requests (known as flash crowd) with effective solutions being developed. The high popularity upon a flash crowd however does not necessarily last long, and indeed often drops very fast after the peak. Compared to growth, a decay is seemingly less challenging or even beneficial given the less user demands. While this is true in a conventional client/server system, we find that it is not the case for peer-to-peer. A quick decay can easily de-stabilize an established overlay, and the resultant smaller overlay is generally less effective for content sharing. The replication of data segments, which is critical during flash crowd, will not promptly respond to a fast and globalized population decay, either. Many of the replicas can become redundant and, even worse, their spaces cannot be utilized for an extended period. In this paper, we seek to understand the impact of such decays and the key influential factors. To this end, we develop a mathematical model to trace the evolution of peer upload and replication during population churns, specifically during decays. Our model captures peer behaviors with common data replication and scheduling strategies in state-of-the-art peer-to-peer VoD systems. It quantitatively reveals the root causes toward escalating server load during a population decay. The model also facilitates the design of a flexible server provision to serve highly time-varying demands.
Sponsorship	IEEE Commun. Soc.
Starting Page	1
Ending Page	6
File Size	583996
Page Count	6
File Format	PDF
ISBN	9781479905898
ISSN	1548615X
e-ISBN	9781479905904
DOI	10.1109/IWQoS.2013.6550279
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-03
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Videos Servers Sociology Statistics Bandwidth Peer-to-peer computing Ash
Content Type	Text
Resource Type	Article

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