Abstract

Since most existing object storage systems balance the load by scheduling task requests, there is no concern about the uneven load generated by random access to the data, resulting in a large number of requests to be concentrated on a small number of servers. Based on Weighted Least-Connection (WLC) and Consistent Hashing, a load balancing algorithm for Heat Prediction and Migration (HPM) is proposed. By refining the number of connections to the object layer and comprehensively considers the number of connections, the difference of heterogeneous nodes and objects as the object heat, and predicts the heat to guide the scheduling of objects. Finally, the effectiveness of the algorithm is verified by simulation.

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