A Method for Selecting Optimized Datacenter for Recourse Allocation in Geo-Distributed Clouds

Today in the cloud computing world, making the recourse close to the users, as well as availability increase and band width cost decrease have increased the request for distributed cloud systems. The geo-distributed cloud is a cloud that distributes its resource in different geographic places. In such clouds, the optimal resource selection from present resource pool in a geo￾distributed datacenter appropriate to user s request is really a challenge. Introducing a hybrid algorithm, the present study selected the resource with the closest distance to the user s parameters such as availability and costs to have the least cost through selecting this datacenter. The present study developed the purposeful hybrid clustering structure with multi-objective NSGA-II algorithm in the geo-distributed clouds. The proposed algorithm was simulated on the real datacenter and the result revealed that the proposed method has less costs in the datacenter for the users in comparison to random and greedy methods. Through introducing a new method, the present study selected the best datacenter according to the user s request from the geo￾distributed datacenter.

کلیدواژه ها:

Geo-distributed Datacenter ، Clustering ، the K Means Algorithm ، the Multi-Objective Optimizing Algorithm ، NSGA-II Algorithm