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Hash-Based Proximity Clustering for Load Balancing in Heterogeneous DHT Networks

Tags:
load balancing

Overview 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 nature of DHT networks and time-varying load characteristics. This paper presents a hash-based proximity clustering approach for load balancing in heterogeneity DHTs. In the approach, DHT nodes are classified as regular nodes and supernodes according to their computing and networking capacities. Regular nodes are grouped and associated with supernodes via consistent hashing of their physical proximity information on the Internet.

Further White Paper Details
Publisher	Wayne State University	File Format	PDF
Date Published	January 2006
Format	White Papers
Topics	Load Balancing

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