Multi-objective job scheduling algorithm in cloud computing based on reliability and time

Abstract

The rapid growth of cloud services and the growing user demands on resources have led to the development and popularity of cloud networks. This environment gives users an impression of infinite resources so the resources can be used on demand. Cloud resource providers wish to gain the most efficiency from its own resources. Their main objective is to reduce cost and maximize revenue from providing services for users. Users also desire to minimize their costs and achieve their required efficiency. Proper use of resources in the cloud is a challenge; therefore proper task scheduling is an important issue while responding to the requests in the shortest time requires proper resource management, which enables the handling of many requests with the number of sources identified. Time reduction is one of the main concerns of cloud resource providers, on the other hand, increased reliability leads to more confidence for the users. Time and reliability are two conflicting objectives, thus resource allocation methods with multi-objective optimization that simultaneously consider multiple conflicting objectives are put in use. In this study, the method presented for resource management and task assignment in cloud environment accounts for the optimized state of both time reduction and reliability enhancement for the system.