An Efficient Multi-Core Resource Allocation using the Multi-Level Objective Functions in Cloud Environment

Abstract

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.