A Study on QoS Based Task Scheduling Using Meta Heuristic Algorithms in Cloud Environment

Cloud computing is considered to be a predominant technology in the course of events occurring and has an enchanting contribution in software and hardware setup. In cloud environment the performance improvement is highly dependent on features like load balancing and task scheduling. The major issue in cloud computing is task scheduling which leads to reduction in the performance of the system. Efficient resource scheduling algorithm is required in order to resolve this low performance issue. Through which the clients and users can demand services based on pay-as-you-go basis. There are numerous algorithms proposed especially for explaining load balancing and task scheduling. Since cloud infrastructure is based on huge client's requirement, appropriate decision is required for each and every scheduled job. This paper illustrates a detailed study on huge algorithms which are explained to resolve the common issues taking place in various scheduling of resources.