Design and Implementation of Enhanced MQS Algorithm

Cloud computing used by many organizations as it provide facility to install only computers for employees instead of installing applications on individual computers. Multiple computers can handle single request. Thus it reduces cost of hardware and software requirement. After going through the literature survey we have observed some limitations such as scalability of cloud user neglected and efficient consumption of energy ignored. This paper has focused on extending the MQS based scheduling algorithm by using fuzzy values for cloud computing environment. The use of fuzzy logic seems to be efficient as it will come up with best alternative for shifting the load from one position to another. Also the use of fuzzy logic has reduced the overall overheads of the live migration techniques.