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Cloud computing has attracted increasing attention in data management. Data replication, which brings files closer to the data consumers, is a well-known technique that reduces access time and bandwidth consumption. This paper addresses two issues concerning replica placement process. The first is how to reduce access costs and replication costs that are two conflicting goals. To achieve this, we propose a multi-objective optimized placement algorithm based on meta-heuristic technique and fuzzy system that finds the optimal locations for replicas by balancing the trade-offs among the six optimization objectives (i.e., system availability, service time, load, energy consumption, latency, and centrality). The second issue is how to determine the optimal number of replicas since storing a great number of replicas in cloud is expensive. To solve this problem, we determine the number of replicas without excessively …