TY - GEN
T1 - Mobile cloud with smart offloading system
AU - Su, Wei Tsung
AU - Ng, Kiat Siong
PY - 2013
Y1 - 2013
N2 - Computation offloading is a hot topic to minimizing the energy consumption in cloud-assisted mobile computing. However, the assumption is that the mobile devices must have network connectivity to cloud. In this paper, we propose an adaptive computation offloading system, called mobile cloud with smart offloading system (MCSOS), which allows that the resource-poor mobile devices could offload its computation to nearby devices which have idle resources. Because there are different computation-offloading scenarios, the total energy consumption is influenced by factors, such as the energy-efficiency of computation and communication of these devices and the transmission distances among these devices. Therefore, the MCSOS is proposed to solve the optimization problem with objective of minimizing the total energy consumption under such ad hoc computation offloading. According to the simulation results, it shows that the MCSOS could improve the energy efficiency from 7% to 61% in different simulation cases.
AB - Computation offloading is a hot topic to minimizing the energy consumption in cloud-assisted mobile computing. However, the assumption is that the mobile devices must have network connectivity to cloud. In this paper, we propose an adaptive computation offloading system, called mobile cloud with smart offloading system (MCSOS), which allows that the resource-poor mobile devices could offload its computation to nearby devices which have idle resources. Because there are different computation-offloading scenarios, the total energy consumption is influenced by factors, such as the energy-efficiency of computation and communication of these devices and the transmission distances among these devices. Therefore, the MCSOS is proposed to solve the optimization problem with objective of minimizing the total energy consumption under such ad hoc computation offloading. According to the simulation results, it shows that the MCSOS could improve the energy efficiency from 7% to 61% in different simulation cases.
UR - https://www.scopus.com/pages/publications/84893208646
UR - https://www.scopus.com/pages/publications/84893208646#tab=citedBy
U2 - 10.1109/ICCChina.2013.6671198
DO - 10.1109/ICCChina.2013.6671198
M3 - Conference contribution
AN - SCOPUS:84893208646
SN - 9781479910335
T3 - 2013 IEEE/CIC International Conference on Communications in China, ICCC 2013
SP - 680
EP - 685
BT - 2013 IEEE/CIC International Conference on Communications in China, ICCC 2013
T2 - 2013 IEEE/CIC International Conference on Communications in China, ICCC 2013
Y2 - 12 August 2013 through 14 August 2013
ER -
