Resource scheduling for infrastructure as a service (IaaS) in cloud computing: Challenges and opportunities

Abstract

Resource scheduling assigns the precise and accurate task to CPU, network, and storage. The aim behind this is the extreme usage of resources. However, well organized scheduling is needed for both cloud providers and cloud users. This paper is a chronological study of recent issues of resource scheduling in IaaS cloud computing environment. In our study, we investigate resource scheduling schemes and algorithms used by different researchers and categorize these approaches on the basis of problems addressed, schemes and the parameters used in evaluating different approaches. Based on various studies considered in this survey, we perceive that different schemes and algorithms did not consider some essential parameters and enhancement is requisite to improve the performance of the existing schemes. Furthermore, this study will trigger new and innovative methods of handling the problems of resource scheduling in the cloud and will help researchers in understanding the existing methodologies for the future adaptation and enhancements.