A hierarchical approach to adaptive distributed scheduling in cloud

This paper aims at the development of a cloud services provisioning framework by developing a dynamic priority job scheduler cum load-balancer for the cloud. The main motive of this paper is to provide a means of managing the job requests in a flexible and cost-effective way, both for the customer and the cloud service provider. In order to make the cloud scalable and adaptable to the changing needs and the increasing number of the users, proper and judicious allocation of resources is the utmost demand. A load balancer plays a very critical role in the scheduling of services into the cluster of virtual machines formed inside the cloud and also ensures optimum utilization of the processing power of various virtual systems. The paper presents a hierarchical approach to give a scalable model for task scheduling. It lists a primitive three tier and an improved four tier architecture mitigating various provisioning concerns like optimal utilization of resources, handling the large number of requests and providing reliable cost effective services. In the scheduler module, is implemented an adaptive dynamic priority scheduling scheme. The scheduler framework takes into account the client - cloud interface and the inner mobility of the job request. The hierarchy takes care of the two important concerns in cloud provisioning that are task scheduling and virtual resource allocation.