Long-term Behavior Pattern Prediction for Peer-to-peer Systems

Title
Long-term Behavior Pattern Prediction for Peer-to-peer Systems
Authors
송규원김수현
Keywords
availability; P2P; Peer-to-peer; behavior pattern; predictor
Issue Date
2013-10
Publisher
IEEE International Conference on Peer-to-Peer Computing
Abstract
Though there have been many studies on the behavior of nodes in P2P or distributed systems, most focus on fitting all the nodes into a statistical model. These approaches are not sufficient for a long-term prediction since the longterm behavior often correlates with the time of day or day of the week. In this work we study long-term behavior pattern predictors for individual nodes.We then evaluate the performance of our predictors using real trace data sets. The results show that the behavior patterns are reasonably predictable for a week in advance.
URI
http://pubs.kist.re.kr/handle/201004/45855
ISSN
00000000
Appears in Collections:
KIST Publication > Conference Paper
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