Context Aware Resource Allocation and Scheduling for Mobile Cloud

Challenges of utilizing cloud services by mobile users arise from few inherent characteristics such as user mobility and device energy level. In this paper, we propose a scheme to monitor the energy level and communication quality as a part of a mobile user context information. We subsequently developed a resource allocation and scheduling scheme to adapt to the context for the benefit of both the cloud user and the cloud provider. The objective is to reduce the execution cost of the jobs while meeting the jobs deadline set by the users. A Deadline-Based Simulated Annealing algorithm was used for resource allocation and scheduling of resources. Simulation shows advantages to the context aware cloud system over the context free cloud system in terms of execution cost and resource utilization.