A Stochastic Analytical Modelling Framework on ISP-P2P Collaborations in Multi-domain Environments

Xu Zhang, Ning Wang, Yue Cao, Linyu Peng, Haining Meng

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)
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Abstract

Cooperation between peer-to-peer (P2P) overlays and underlying networks has been proposed as an effective approach to improve the efficiency of both the applications and the underlying networks. However, fundamental characteristics with respect to ISP business relationships and inter-ISP routing information are not sufficiently investigated in the context of collaborative ISP-P2P paradigms in multi-domain environments. In this paper, we focus on such issues and develop an analytical modelling framework for analysing optimized inter-domain peer selection schemes concerning ISP policies, with the main purpose of mitigating cross-ISP traffic and enhancing service quality of end users. In addition, we introduce an advanced hybrid scheme for peer selections based on the proposed analytical theory framework, in accordance with practical network scenarios, wherein cooperative and non-cooperative behaviours coexisting. Numerical results show that the proposed scheme incorporating ISP policies is able to achieve desirable network efficiency as well as great service quality for P2P users. Our analytical modelling framework can be used as a guide for analysing and evaluating future network-aware P2P peer selection paradigms in general multi-domain scenarios.
Original languageEnglish
Pages (from-to)2320-2331
JournalIEEE Systems Journal
Volume12
Issue number3
Early online date3 Aug 2017
DOIs
Publication statusPublished - Sep 2018

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