期刊名称：International Journal of Computer Networks (IJCN)
电子版ISSN：1985-4129
出版年度：2011
卷号：2
期号：6
页码：205-226
出版社：Computer Science Journals
摘要：Network clustering is an important technique used in many large-scale distributed systems. Given good design and implementation, network clustering can significantly enhance the system\'s scalability and efficiency. However, it is very challenging to design a good clustering protocol for networks that scale fast and change continuously. In this paper, we propose a distributed network clustering protocol SDC targeting large-scale decentralized systems. In SDC, clusters are dynamically formed and adjusted based on SCM, a practical clustering accuracy measure. Based on SCM, each node can join or leave a cluster such that the clustering accuracy of the whole network can be improved. A big advantage of SDC is it can recover accurate clusters from node dynamics with very small message overhead. Through extensive simulations, we conclude that SDC is able to discover good quality clusters very efficiently.
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