Context-Aware Job Scheduling for Cloud Computing Environments
In this paper, executions of server-based jobs are still dependent on the local variations of the end-user context. The authors claim that there is a need for an advanced model for smarter services that combines techniques of context awareness and adaptive job scheduling. This paper aims at rationalising the resource utilisation in a Cloud Computing environment, while leading to significant improvement of quality of service. In this paper, they introduce such a model and describe its performance benefits through a combination of social and service simulations. They analyze the results by demonstrating gains in performance, quality of service, reduction of wasted jobs, and improvement of overall end-user experience.