A Network Aware Energy Efficient Offloading Algorithm for Mobile Cloud Computing over 5G Network

Abstract

Cloud computing advances the computing capability of resource constrained devices like the iPad and the iPhone by offloading the computational task to the mobile cloud. The existing offloading algorithms ignore the role of network bandwidth, temperature and task load on V.M at cloud servers. An intelligent algorithm must optimize the data transmission and execution costs. In this paper, we are presenting an intelligent, optimized energy efficient offload decision making algorithm which maximizes energy saving while preserving stringent time interval requirements of user applications in the 5G system. Cloudlet or Broker node acts as a decision making point, to advance the execution of mobile cloud services in terms of energy consumption. The proposed algorithm considers various critical factors under different environments. We have assessed the scheduling algorithm in a test-bed environment. The results are expressed that our algorithm minimizes energy consumption in various data inputs and result output scenarios and achieves 97% of accuracy while offloading the code to cloud.