A Dynamic Convergent Replication Strategy Based on Distributed Hierarchical Systems

Zhao, Pu; Shang, Jingtao; Lin, Jianjun; Li, Bo; Sun, Xin

doi:10.1145/3171592.3171603

Cited by 1 publication

(1 citation statement)

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“…Zhao, Shang et al have proposed the data replication problem based on distributed hierarchical systems. Considering the real‐time bandwidth, a real‐time read speed of the node and the historical performance of the replica, following the principle that replica with high value has a high probability to be selected, the self‐convergent replica selection strategy has been proposed.…”

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%