A Multi-Objective Optimization Algorithm for the QoS of Cloud Storage

In this paper, we propose a multi-objective for the Qos of Cloud Storage which uses different distribution trees to multicast several flows. The aim is to combine into a single aggregated measure, the following weighting objectives: the maximum link utilization, hop count, total bandwidth consumption and total end-to-end delay. In addition, our proposal is to solve the traffic split ratio for multiple trees. We have developed this multi-objective function as a non-intermittent derivatives linear programming problem. The results obtained using the SNOPT solving weighted goal is to reduce and minimize the maximum link utilization. The problem is NP-hard, therefore, a new SPT algorithm for the optimization of the type of the target. We use this algorithm behavior is similar to what we solving SNOPT. The experimental results reveal very encouraging results in terms of the solution quality and diversity.