In recent years, the computational memory and energy conservation have become a major problem in cloud computing environment due to the increase in data size and computing resources. Since, most of the different cloud providers offer different cloud services and resources use limited number of user’s applications. Therefore, there is an essential requirement of optimizing the allocation of cloud servers and its resources in the cloud environment. In the proposed model, a novel cloud server to resource management technique is designed and implemented on real-time cloud environment to minimize the cost and time. Proposed cloud server-based resource allocation model is based on optimization functions to minimize the resource allocation time and cost. Experimental results proved that the proposed model has high computational resource allocation time and cost compared to the existing resource allocation models.
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.