Summary
Cloud computing, as a supreme computing stage, presents new security challenges. At the point when virtual machines (VMs) are sent in a cloud domain, VM placement strategies can essentially influence the general security dangers of the whole cloud. As of late, the attacks are explicitly intended to co‐locate with target VMs in the cloud. The VM placement without considering the security risks may put the clients, or even the whole cloud, in threat. Therefore, here we prompt an exhaustive approach to appraise the cloud environment security risk from network, host, and VM. In like manner, secure VM allocation against co‐resident attacks using support value based game policy is proposed that lessens the general security dangers of a cloud, while decides the multi‐objective measures such as efficiency, coverage, and the maximum link utilization. Then, the support value is calculated for the given multi‐objective values. At last, the game theory is used to allocate the best VM. The experimental results prove that the proposed method outperforms than the existing methods in regards of efficiency, coverage maximum link utilization, execution time, throughput, latency, workload balance, power consumption, and standard deviation.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.