A novel data replication mechanism in P2P VoD system

Liao, Xiaofei; Jin, Hai; Yu, Linchen

doi:10.1016/j.future.2011.10.006

Cited by 13 publications

(5 citation statements)

References 29 publications

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“…Liao et al have proposed an approach that uses the customer's preventive data repeat mechanism to reduce the outgoing and server load tasks in the P2P VoD. First, they have proposed two core algorithms using behavior analysis of log data from the deployed system to determine the opportunity of repetition and the selection of repetitive pieces.…”

Section: Review Of the Selected Data Replication Mechanismsmentioning

confidence: 99%

Data replication mechanisms in the peer‐to‐peer networks

Mohammadi

Navimipour

2019

Int J Communication

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Peer-to-peer (P2P) network is a distributed network in which nodes with similar capabilities exchange information with each other. Due to the nature of the P2P network distribution, numerous network message transformation is required to exchange the data between nodes over the network, which may increase access latency. Because of the high amount of the stored data in the P2P networks, the replication of data is very important. A large amount of data is handled using data replication to increase data access, reduce access latency, and increase data availability. This issue has an important role in the P2P networks, but there is no complete and systematic research in this field. Therefore, this paper aims to provide a comprehensive study of data replication mechanisms in the P2P networks. The 1027 papers have been identified and have been reduced to 213 main studies using the paper selection process. Moreover, in this paper, the major advances are reviewed in four main groups (structured, unstructured, super-peer, and hybrid networks), and the new challenges are also highlighted. Moreover, the open issues and guidelines for future studies are presented.

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Section: Review Of the Selected Data Replication Mechanismsmentioning

confidence: 99%

Data replication mechanisms in the peer‐to‐peer networks

Mohammadi

Navimipour

2019

Int J Communication

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“…In addition, it collaboratively performs bid-based replica allocation to facilitate better QoS. In Liao et al (2012), the authors developed a proactive data replication mechanism and incorporated it into GirdCast system. Based on the new mechanism, a peer can proactively replicate data chunks to stable cache servers for future sharing, when it has high possibility to leave the overlay.…”

Section: Related Workmentioning

confidence: 99%

A novel replication scheme based on prediction technology in virtual P2P storage platform

Zhang

2019

IJNVO

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Recently, peer-to-peer (P2P) platforms have emerged as promising virtual storage platforms in many areas. However, most of P2P storage platforms are facing the challenging that how to maintain the data availability in such a volunteer-participating environments. In this paper, we present a novel technique which can figure out the probability of peer's failure during a given period. Based on this technique, we are enabled to evaluate the failure probability of any groups of peers so as to estimate the optimal number of replicas that can achieve better trade-offs between performance and data availability in P2P platforms. In this way, the storage platform can improve the resource utilisation without losing data availability. Extensive experiments in a real-world P2P platform indicate that the proposed replication scheme is effective to improving the data availability. In addition, it also exhibits better adaptive when the P2P platform is working in volunteering computing paradigm.

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“…In addition, it collaboratively performs bid-based replica allocation to facilitate better quality of service. In [20], the authors developed a proactive data replication mechanism and incorporated it into GirdCast system. Based on the new mechanism, a peer can proactively replicate data chunks to stable cache servers for future sharing, when it has high possibility to leave the overlay.…”

Section: Related Workmentioning

confidence: 99%