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Load balance just reasonably allocate request from users to each edge cloud storage servers. It can avoid overloading
or congestion to ensure data transmission efficiency. Referring to idea of ant colony algorithm, the paper brought
out Content Delivery Load Balance Algorithm Based on Probability Matching (CDLBA-PM) algorithm. The method calculated
access probability of each edge cloud storage peer and selected edge cloud storage peer with probability matching
algorithm comprehensively considering about history access costs and real-time access cost of edge cloud storage peers. It
fully takes into account current network bandwidth, edge cloud storage peer performance as well as history access cost.
Random probability matching was also introduced for cache copy selection in the algorithm. Simulation experiment results
with CloudSim show that CDLBA-PM can not only reduce response time of user request, but also effectively balance
load of edge cloud storage peer.