Intermediate cooperator for optimal resource cooperation in Geo-Distributed Mobile Cloud Computing environment

Abstract

MCC (Mobile cloud computing) is a solution for the utilization of a range of shared mobile resources through wireless network environment. GMCC is a new paradigm that integrates geographical details in MCC. In this environment resource cooperation helps to increase resource utilization which leads to improvement in revenue by expanding the benefits of resource and upgrade QoS by minimum cost to lease the resource. To maximize the benefit of resource cooperation, we propose a model named as intermediate cooperator. As the name justifies it is placed at intermediate position between local or remote resource cooperators. This leads to best decisions on allocation of resources, small distance, and low bandwidth for communication, minimum communication delays, and satisfactory quality service. Further, we introduce a high alert resource point that provides indication when 25% resources are left. Utility operations have been observed to include the cost, time, latency and efficiency. The simulation results suggest that our proposed scheme enhances the utilization of data center with improvement in parameters like efficiency, time, cost and latency etc.