Achieving Global Optimal Replication in Distributed Networks
Yao Yu, Yu Zhou, Kanglian Zhao, Sidan Du · IEICE Transactions on Communications · 2010
This letter presents the globally optimal data replication in the distributed networks. We propose a distributed approach based on the metropolis-hastings algorithm to achieve the globally optimal data replication without requiring any global information. Experimental results show that the proposed approach works well and the error can be held below 0.6% easily.