On the efficiency of collaborative caching in ISP-aware P2P networks

Dai, Jie; Li, Bo; Liu, Fangming; Li, Baochun; Jin, Hai

doi:10.1109/infcom.2011.5934903

Cited by 28 publications

(17 citation statements)

References 14 publications

(16 reference statements)

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“…A few works proposed recently suggesting that peers in remote autonomous network systems should be ranked based on diversity ISP business requirements [12]- [14], [25]- [27]. While concerning BGP routing polices in peer selections, these works are mainly developed on the basis of a simple assumption, i.e., a fully cooperative scenario.…”

Section: Related Workmentioning

confidence: 99%

A Stochastic Analytical Modeling Framework on ISP–P2P Collaborations in Multidomain Environments

Zhang

Wang

Cao

et al. 2018

IEEE Systems Journal

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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.

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Section: Related Workmentioning

confidence: 99%

A Stochastic Analytical Modeling Framework on ISP–P2P Collaborations in Multidomain Environments

Zhang

Wang

Cao

et al. 2018

IEEE Systems Journal

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“…Cache upload bandwidth management for P2P video streaming systems was considered in [19], [20] in order to decrease the ISPs' incoming transit traffic. In the case of streaming the download rate of peers is determined by the video rate, and the received rate does not influence the peers' behavior.…”

Section: Related Workmentioning

confidence: 99%

Cache Bandwidth Allocation for P2P File-Sharing Systems to Minimize Inter-ISP Traffic

Pacifici

Lehrieder

Dán

2016

IEEE/ACM Trans. Networking

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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 propose three approximations to the optimal cache bandwidth allocation policy. We use extensive simulations and experiments to evaluate the performance of the proposed policies, and show that the bandwidth allocation policy that prioritizes swarms with a small ratio of local peers to all peers in the swarm can improve the inter-ISP traffic savings in BitTorrent-like P2P systems by up to 30 to 60 percent.

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“…The potential benefit of collaborative caching in video streaming systems has been discussed in our previous work [8] and several other related works [9] [10]. Chen et al [9] consider a collaborative caching mechanism in an Internet Protocol Television (IPTV) system with a hierarchical architecture.…”

Section: Related Workmentioning

confidence: 99%

Collaborative Caching in Wireless Video Streaming Through Resource Auctions

Dai

Liu

et al. 2012

IEEE J. Select. Areas Commun.

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Abstract-Recent advances in wireless communications and mobile networking have dramatically increased the popularity of multimedia services for mobile users, with wireless video streaming at their fingertips. To facilitate efficient acquisition of video content, proxy caching has been widely used by wireless service providers (WSPs), which typically deploy cache servers at mobile switching centers (MSCs). However, capacity provisioning of cache servers is challenging, given the dynamic user demands and the limited cache server resources. With increased densities of wireless service deployment, it is increasingly common that mobile users are covered by more than one WSP within an area. This brings opportunities of a collaborative caching paradigm among the cache servers deployed at different MSCs. In this paper, we explore the benefits of collaborative caching in wireless streaming services, addressing both challenges of incentives and truthfulness of selfish WSPs. We propose a collaborative mechanism that maximizes the social welfare in the context of VickreyClarke-Groves (VCG) auctions, in which cache servers cooperate in the trading of their resources in a self-enforcing manner. Experimental results demonstrate that superior performance can be achieved with respect to the quality of video streaming.

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On the efficiency of collaborative caching in ISP-aware P2P networks

Cited by 28 publications

References 14 publications

A Stochastic Analytical Modeling Framework on ISP–P2P Collaborations in Multidomain Environments

A Stochastic Analytical Modeling Framework on ISP–P2P Collaborations in Multidomain Environments

Cache Bandwidth Allocation for P2P File-Sharing Systems to Minimize Inter-ISP Traffic

Collaborative Caching in Wireless Video Streaming Through Resource Auctions

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