Monetary-and-QoS Aware Replica Placements in Cloud-Based Storage Systems

This paper proposes a replication cost model and two greedy algorithms, named GS_QoS and GS_QoS_Cl, for replication placements in cloud-based storage systems. The model aims to minimize replication cost with full consideration of quality of user access to storage nodes. Our two algorithms employ a utility measurement to guide placement procedures. Our final experimental results show that 1) GS _ QoS outperforms GS_QoS_Cl; 2) both algorithms have more economical results than those from existing greedy replica placement algorithm.