A novel hybrid arithmetic optimization algorithm and salp swarm algorithm for data placement in cloud computing

In recent years, the Internet of Things (IoT) has led to spread cloud computing devices in all commercial, industrial and agricultural sectors. The use environment services is increasing exponentially with technology applications based on IoT. Fog addressing issues environments. reduces load balancing, processing, bandwidth, storage as data file replication from network closest sensors different geographic locations. There are three critical issues:—what should be replicated?—when replicated? and—where new replicas placed? These main open questions must tackled for This strategy, identification mode problem designed a multi-objective optimization modern meta-heuristic method. Therefore, hybrid method using Arithmetic Optimization Algorithm (AOA) salp swarm algorithm (SSA) proposed this paper. Firstly, metaheuristic method, (SSA), handle selection placement fog computing. Secondly, Floyd used strategy least cost path, distance, transmission performance AOASSA tackling evaluated datasets sizes. To validate set experiments was carried out AOASSA. Experiment results show superiority over its competitors terms measures, such bandwidth.