Efficient computation offloading strategies for mobile cloud computing

Proceedings - International Conference on Advanced Information Networking and Applications, AINA

Volumn 2015-April, Issue , 2015, Pages 626-633

  Tao, Yaling ^a   Zhang, Yongbing ^a   Ji, Yusheng ^b  

^a UNIVERSITY OF TSUKUBA   (Japan)

^b NATIONAL INSTITUTE OF INFORMATICS   (Japan)

Author keywords

Computation offloading; Energy efficiency; Mobile cloud computing

Indexed keywords

COMPUTATIONAL EFFICIENCY; ENERGY EFFICIENCY; GREEN COMPUTING;

COMPUTATION OFFLOADING; COMPUTATIONAL COMPONENTS; COMPUTING CAPABILITY; EFFICIENT COMPUTATION; MOBILE APPLICATIONS; MOBILE COMPUTATIONS; NUMERICAL EXPERIMENTS; OPTIMIZATION PROBLEMS;

MOBILE CLOUD COMPUTING;

EID: 84946217304     PISSN: 1550445X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AINA.2015.246     Document Type: Conference Paper

References (15)

1. F. Liu, P. Shu, H. Jin, L. Ding, J. Yu, D. Niu, and B. Li, "Gearing Resource-Poor Mobile Devices with Powerful Clouds: Architecture, Challenges and Applications," IEEE Wireless Communications, Vol. 20, No. 3, pp. 14-22, June 2013.
2. H. Dinh, C. Lee, D. Niyato, and P. Wang, "A survey of mobile cloud computing: architecture, applications, and approaches," Wireless communications and mobile computing, Vol. 13, No. 18, pp. 1587-1611, December 2013.
3. http://www.phonearena.com/news/, "Survey shows battery life to be the single main gripe of today's mobile phone user", November 28, 2013.
4. http://www.articlesfactory.com/articles/other/, "Introducing smartphones with super lasting battery life", December 3, 2014.
5. K. Kumar and Y. Lu, "Cloud Computing for Mobile Users: Can Offloading Computation Save Energy? " Computer, Vol.43, No.4, pp. 51-56, April 2010.
6. K. Kumar, J. Liu, Y. Lu, and B. Nhargava, "A Survey of Computation Offloading for Mobile Systems," Mobile Networks and Applications, Vol. 18, No. 1, pp. 129-140, April 2012.
7. M. Ayed and J. Gaudiot, "An efficient heuristic for code partitioning," Parallel Computing, Vol. 26, No. 4, pp. 399-426, March 2000.
8. M. Bolat, K. Kelsey, X. Li, and G. Gao, "Source Code Partitioning in Program Optimization," IEEE 17th International Conf. on Parallel and Distributed Systems (ICPADS), pp. 56-63, Tainan, December 2011.
9. R. Newton, S. Toledo, L. Girod, H. Balakrishnan, and S. Madden, "Wishbone: Profile-based Partitioning for Sensornet Applications," 6th USENIX Symposium on Networked Systems Design and Implementation, Vol. 9, pp. 395-408, April 2009.
10. L. Yang, J. Cao, Y. Yuan, T. Li, A. Han, and A. Chan, "A Framework for Partitioning and Execution of Data Stream Applications in Mobile Cloud Computing," ACM SIGMETRICS Performance Evaluation Review, Vol. 40, No. 4, pp. 23-32, March 2013.
11. Y. Ge, U. Zhang, Q. Qiu, and Y. Lu, "A Game Theoretic Resource Allocation for Overall Energy Minimization in Mobile Cloud Computing System," Proc. ISLPED'12, pp. 279-284, California, July 2012.
12. T. Nishio, R. Shinkuma, and T. Takahashi, "Service-oriented Heterogeneous Resource Sharing for Optimizing Service Latency in Mobile Cloud," Proc. MobileCloud'13, pp. 19-26, India, July 2013.
13. A. Mtibaa, A. Fahim, K. Harras, and M. Ammar, "Towards resource sharing in mobile device clouds: Power balancing across mobile devices," Proc. ACM SIGCOMM, pp. 51-56, Hong Kong, August 2013.
14. E. Hyytia, T. Spyropoulos, and J. Ott, "Optimizing Offloading Strategies in Mobile Cloud Computing," Cryptanalyst, November, 2013.
15. P. Shu, F. Liu, H. Jin, M. Chen, F. Wen, Y. Qu, and B. Li, "eTime: energy-efficient transmission between cloud and mobile devices," INFOCOM, 2013 Proc. IEEE, pp. 195-199, Italy, April 2013.