Energy Efficient Green Solution for Hierarchical Resource Management for Mobile Cloud Computing

Abstract

Infrastructure-as-a-Service model In the cloud computing offers the provision of acquiring virtualized resources under pay-as-you-go policy. With increasing penetration of cloud in various domains such as real-time systems, the need for efficient resource allocation has become of paramount interest. In real-time systems, the resource allocation problem is NP-hard and becomes even more challenging when real-time systems being deploying in cloud computing environment where tasks present timings constraints. As a solution, hybrid approaches provide the opportunities to investigate efficient resource allocation for resource sharing problems. Therefore, this paper presents a hierarchical system architecture for Mobile Cloud Computing based on a novel 5G system architecture. Initially, a hierarchical system architecture is divided into three phases, i.e., foglet layer, service layer, and communication layer. Foglet layers provide the functionality of efficient resource sharing, the service layers assists the network by providing cloud services, and finally, the communication layers help in providing energy efficient communication using 5G system architecture. Simulation results show that the proposed scheme outperforms the existing cloud computing example scenario regarding cost and time.