From Reliable Distributed System Toward Reliable Cloud By Cat Swarm Optimization

Distributed systems (ds) are usually complex systems composed of various components and cloud is acommon type of dss. reliability is a major challenge for the design of cloud systems and dss in general. in this paperan analytical model to analyze reliability in dss with regards to task allocation was presented. subsequently, thismodel was modified and a new model to analyze reliability in cloud systems with regards to virtual machine(vm)allocation was suggested. on the other hand, optimal task allocation in dss is an np-hard problem, thus finding exactsolutions are limited to small-scale problems. this paper presents a new swarm intelligence technique based on catswarm optimization (cso) algorithm to find near optimal solution. for evaluating the algorithm, cso is comparedwith genetic algorithm (ga) and particle swarm optimization (pso). the experimental results show that in contrastto pso and ga, cso acquires acceptable reliability in reasonable execution time.