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Content Provider | IEEE Xplore Digital Library |
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Author | Yong Zhao Zhibin Zhang Li Guo Binxing Fang |
Copyright Year | 2011 |
Description | Author affiliation: Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China (Yong Zhao; Zhibin Zhang; Li Guo; Binxing Fang) |
Abstract | Although peer-to-peer system is scalable for content distribution, its lifespan is shorter than traditional systems. More and more researchers pay close attention to swarm lifespan and propose specialized methods to extend it. Bundling technique and SRE (Share Ratio Enforcement) mechanism in Private Tracker system are two successful enhancements which are proved by practical systems. However, they have side effects to system users. One of the reason is that the enhancements do not take effect on the key factors. So there is a question, what factors influence lifespan? A model which can answer this question is needed to help system designers. Facing the challenges, we measure a popular BitTorrent system with a macro view which is different from previous works. Based on our measurement, we model the long term evolution to find out factors that influence swarm lifespan. In order to unveil the trend of a swarm, we propose a half-life based metric. According to the metric, our model fits the real swarms more closely. By the help of our model, we analyze the strengths and shortcomings of bundling technique and SRE incentives. |
Starting Page | 1062 |
Ending Page | 1067 |
File Size | 388383 |
Page Count | 6 |
File Format | |
ISBN | 9781457706806 |
ISSN | 15301346 |
e-ISBN | 9781457706813 |
e-ISBN | 9781457706783 |
DOI | 10.1109/ISCC.2011.5983983 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2011-06-28 |
Publisher Place | Greece |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Measurement Availability Computational modeling Peer to peer computing Mathematical model Analytical models Predictive models |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Mathematics Computer Networks and Communications Computer Science Applications Software |
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