个人信息Personal Information
副教授
硕士生导师
性别:男
毕业院校:大连工学院
学位:硕士
所在单位:计算机科学与技术学院
电子邮箱:xfmeng@dlut.edu.cn
Perspective of space and time based replica population organizing strategy in unstructured peer-to-peer networks
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论文类型:期刊论文
发表时间:2015-03-01
发表刊物:JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
收录刊物:SCIE、EI、Scopus
卷号:49
页面范围:1-14
ISSN号:1084-8045
关键字:P2P network; Perspective of space and time of node; File's availability; Replica; Replica population; Population ecology
摘要:File replication and replica management are effective strategies to ensure file availability and improve the efficiency of user access in peer-to-peer (P2P) networks. In this paper, inspired by the replica population model in population ecology, we propose a replica population organizing strategy for unstructured P2P networks. We model the activities of a P2P node from a time-and-space perspective, and model a file's availability from the perspective of node accessibility. The strategy automatically adjusts the relationship between the replica population and the environment, as well as the relationship between the replica population and the demand of users. Replica reproduction is well controlled by the strategy to adapt to the dynamic nature of P2P networks. We employ a push-pull approach, which enables replicas to change adaptively, both in their quantity and their distribution. Experimental results show that our strategy is able to adapt to the dynamic P2P environments. It effectively improves file availability, boosts retrieval efficiency, and meanwhile reduces the cost in network bandwidth. (C) 2014 Elsevier Ltd. All rights reserved.