AN COORDINATED ALGORITHM REDUCES ENERGY CONSUMPTION IN MOBILE CLOUD COMPUTING

  • Do Thi Thu Hung Yen University of Technology and Education
  • Nguyen Gia Ba Hung Yen University of Technology and Education
  • Do Thanh Tung Hung Yen University of Technology and Education
  • Vu Thanh Trung Hung Yen University of Technology and Education
  • Nguyen Dinh Han Hung Yen University of Technology and Education

Abstract

Technology of local small clouds (cloudlet) is potential for strong growth. The ability of small cloud technology enables service providers, application offload compute, storage with superior features than ever. However, the combination of cloudlet with mobile networks data center in practice requires more technological solutions. In this paper, we are interested in solutions to coordinate the process offloading calculations for mobile devices, which reduces the computational requirements of the data center to the mobile network. This lowers the needs to consume energy of the data center. We propose an algorithm of cooperation among small clouds, addressing the above issues effectively. The experimental results confirm that our solutions can significantly reduce energy costs and enhance the system’s ability to meet and improve service quality required by the users.

References

Yaser Jararweh, Fadi Ababneh, Abdallah Khreishah, Fahd Dosari, “Scalable cloudlet-based mobile computing model”, Procedia Computer Science, Vol. 34, pp. 434-441, 2014.

Ying-Dar Lin; Chu, E.T.-H.; Yuan-Cheng Lai; Ting-Jun Huang, "Time-and-Energy-Aware Computation Offloading in Handheld Devices to Coprocessors and Clouds," in Systems Journal, IEEE , vol.9, no.2, pp.393-405, June 2015.

Yi-Bing Lin et al “Performance Measurement of TDLTE, WiMAX and 3G Systems,” IEEE Wireless Communications, vol. 20, no. 3 pp. 153-160, June 2013.

Y.-C. Shim, “Modeling and Analysis of Completion Time and Energy consumption of Applications in Mobile Cloud Computing Environments,” Int. Journal of Advanced Computer Technology, vol. 3, no. 6, pp. 60-66, 2014.

R. Bradford, E. Kotsovinos, A. Feldmann, and H.Schioberg, “Live Wide-Area Migration of Virtual Machines including Local Persistent State,” VEE’07, June 2007.

E. Harney, S. Goasguen, J. Martin, M. Murphy, and M. Westall, “The Efficacy of Live Virtual Machine Migrations over the Internet,” VTDC’07, November 2007.

P. Payaswini and D.H. Manjaiah, “Simulation and Performance Analysis of Vertical Handoff between WiFi and WiMAX using Media Independent Handover Services,” International Journal of Computer Applications, vol. 87, no. 4, Feb. 2014.

K. Kumar and Y.-H. Lu, “Cloud Computing for Mobile Users: Can Offloading Computation Save Energy?” IEEE Computer, pp. 51-56, April 2010.

A. Carroll and G. Heiser, “An Analysis of Power Consumption in a Smartphone,” USENIX Annual Technical Conference, 2010.

Published
2017-04-12