Abstract-This paper presents a quantitative study on the energy-traffic tradeoff problem from the perspective of entire Wireless Local Area Network (WLAN). We propose a novel Energy-Efficient Cooperative Offloading Model (E2COM) for energy-traffic tradeoff, which can ensure the fairness of energy consumption of mobile devices and reduce the computation repetition and eliminate the Internet data traffic redundancy through cooperative execution and sharing computation results. We design an Online Task Scheduling Algorithm (OTS) based on a pricing mechanism and Lyapunov optimization to address the problem without predicting future information on task arrivals, transmission rates and so on. OTS can achieve a desirable tradeoff between the energy consumption and Internet data traffic by appropriately setting the tradeoff coefficient. Simulation results demonstrate that E2COM is more efficient than no offloading and cloud offloading for a variety of typical mobile devices, applications and link qualities in WLAN.
Song et al. REF presented a quantitative study on the energytraffic tradeoff problem from the perspective of entire wireless local area network.
Energy-traffic tradeoff cooperative offloading for mobile cloud computing
2014 IEEE 22nd International Symposium of Quality of Service (IWQoS)
2014 IEEE 22nd International Symposium of Quality of Service (IWQoS)
Computer Science