An Enhanced Queries Scheduler for query processing over a cloud environment

Abstract

Due to the existence of the “database as a service” (DaaS) model on a cloud computing environment, several challenges have been made, such as query scheduling. Using an efficient query scheduler can improve the queries response time submitted from various clients in a DaaS model. Scheduling the queries in a cost aware way has an economic impact on the service provider by meeting the clients' service level agreements (SLAs). In this paper, we proposed an enhanced scheduler technique in order to schedule the queries effectively to minimize the overall query response time. The experimental results show that using our enhanced scheduler improves significantly the query response time.