Hash-based proximity clustering for efficient load balancing in heterogeneous DHT networks |
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| Authors: | Haiying Shen Cheng-Zhong Xu |
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| Affiliation: | 1. Department of Computer Science and Computer Engineering, University of Arkansas, Fayetteville, AR 72701, USA;2. Department of Electrical and Computer Engineering, Wayne State University, Detroit, MI 48202, USA |
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| Abstract: | Distributed hash table (DHT) networks based on consistent hashing functions have an inherent load uneven distribution problem. The objective of DHT load balancing is to balance the workload of the network nodes in proportion to their capacity so as to eliminate traffic bottleneck. It is challenging because of the dynamism, proximity and heterogeneity natures of DHT networks and time-varying load characteristics. |
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| Keywords: | Load balancing Peer to Peer Distributed hash table |
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