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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Pacifici, V. Lehrieder, F. Dan, G. |
| Copyright Year | 2012 |
| Description | Author affiliation: University of Würzburg, Institute of Computer Science, Germany (Lehrieder, F.) || School of Electrical Engineering, KTH Royal Institute of Technology, Stockholm, Sweden (Pacifici, V.; Dan, G.) |
| Abstract | Many Internet service providers (ISPs) have deployed peer-to-peer (P2P) caches in their networks in order to decrease costly inter-ISP traffic. A P2P cache stores parts of the most popular contents locally, and if possible serves the requests of local peers to decrease the inter-ISP traffic. Traditionally, P2P cache resource management focuses on managing the storage resource of the cache so as to maximize the inter-ISP traffic savings. In this paper we show that when there are many overlays competing for the upload bandwidth of a P2P cache then in order to maximize the inter-ISP traffic savings the cache's upload bandwidth should be actively allocated among the overlays. We formulate the problem of P2P cache bandwidth allocation as a Markov decision process, and describe two approximations to the optimal cache bandwidth allocation policy. Based on the insights obtained from the approximate policies we propose SRP, a priority-based allocation policy for BitTorrent-like P2P systems. We use extensive simulations to evaluate the performance of the proposed policies, and show that cache bandwidth allocation can improve the inter-ISP traffic savings by up to 30 to 60 percent. We validate the results via BitTorrent experiments on Planet-lab. |
| Starting Page | 1512 |
| Ending Page | 1520 |
| File Size | 537935 |
| Page Count | 9 |
| File Format | |
| ISBN | 9781467307734 |
| ISSN | 0743166X |
| e-ISBN | 9781467307758 |
| DOI | 10.1109/INFCOM.2012.6195518 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-03-25 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Channel allocation Bandwidth Resource management Peer to peer computing Steady-state Markov processes Approximation methods |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science Electrical and Electronic Engineering |
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