SLA-Aware Multi-Criteria Data Placement in Cloud Storage Systems

This paper proposes a multi-criteria data placement mechanism for typical cloud storage systems. The primary goal of this study is to place the clients’ files in cluster by taking into account principles service level agreements and levels user support services. For purpose, scoring model defined based on trade-off between three criteria that can be crucial from viewpoint: access latency, privacy, computational performance. second proposed improve fairness allocation various kinds compared conventional mechanisms. In case, provider gives each node chance become host an already received file using probabilistic ranking model. experimental results demonstrate increases robustness architecture under different file, network, configurations existing