Modified Aco Algorithm for Resource Allocation in Cloud Computing Environment
نویسندگان
چکیده
In Cloud computing, private cloud is a model where resource sharing is becoming more popular now-a-days. The importance of resource sharing has lead to the development of many algorithms. The existing works in the field of resource sharing used many optimization techniques. The two techniques namely Service Composition Optimal Selection (SCOS) and Optimal Allocation of Computing Resources (OACR) are combined and named as Dual Scheduling of Cloud Services and Computing Resources (DS-CSCR). This dual scheduling is not suitable for large scale problems and hence, a new Ranking Chaos Optimization (RCO) was introduced. RCO executes with low time consumption. But the design of heuristic function is complex and hence, a Modified Adaptive Chaos Optimization (MACO) technique with Roulette Wheel Selection (RWS) is used for allocating tasks to the resources. Finally the comparison of the proposed work with the existing RCO proves that, the resource allocation can be made with low time consumption and the stability of the virtual machine increases.
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