A Hybrid Heuristic Algorithm Using Artificial Agents for Data Replication Problem in Distributed Systems

One of the key issues with large distributed systems, such as IoT platforms, is gaining timely access to data objects. As a result, decreasing operation time reading and writing in communication systems become essential demands for asymmetric system. A common method replicate objects across multiple servers. Replica placement, which can be performed statically or dynamically, critical effectiveness general. Replication placing them on best available servers an optimal manner NP-complete optimization problem. several heuristic strategies replica placement have been presented. The primary goals this research are reduce cost time, number replicas, increase reliability algorithms replicas. In paper, discretized algorithm artificial individuals hybrid imitation were developed. proposed method, particle gray-wolf-based use local memory velocity search solutions. includes symmetry both global searches. Another contribution development solving object replication problem systems. Regarding results simulations standard benchmark, suggested gives 35% reduction about six replicates. Furthermore, deviation among obtained by 0.015 lower than other methods same experiments; hence, more stable previous during different executions.