Energy Efficiency in Latency-Constrained Application Offloading from Mobile Clients to Multiple Virtual Machines

IEEE Transactions on Signal Processing

Volumn 66, Issue 4, 2018, Pages 1065-1079

  Lagen, Sandra ^a,b   Pascual Iserte, Antonio ^a   Munoz, Olga ^a   Vidal, Josep ^a  

^a UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

^b CENTRE TECNOLÒGIC DE TELECOMUNICACIONS DE CATALUNYA CTTC   (Spain)

Author keywords

Application offloading; battery savings; energy efficiency; energy latency trade off; robust design

Indexed keywords

CHANNEL STATE INFORMATION; CLOUD COMPUTING; ECONOMIC AND SOCIAL EFFECTS; ENERGY UTILIZATION; GREEN COMPUTING; MOBILE TELECOMMUNICATION SYSTEMS; NETWORK SECURITY; OPTIMIZATION; RADIO LINKS; ROBUSTNESS (CONTROL SYSTEMS); VIRTUAL ADDRESSES; VIRTUAL MACHINE;

APPLICATION OFFLOADING; BATTERY SAVINGS; DELAYS; MOBILE COMMUNICATIONS; ROBUST DESIGNS; TRADE OFF;

ENERGY EFFICIENCY;

EID: 85037609513     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSP.2017.2778692     Document Type: Article

References (42)

1. P. Bhat et al., "LTE-Advanced: An operator perspective, " IEEE Commun. Mag., vol. 50, no. 2, pp. 104-114, Feb. 2012.
2. N. Bhushan et al., "Network densification: The dominant theme for wireless evolution into 5G, " IEEE Commun. Mag., vol. 52, pp. 82-89, Feb. 2014.
3. I. Hwang, B. Song, and S. S. Soliman, "A holistic view on hyper-dense heterogeneous and small cell networks, " IEEE Commun. Mag., vol. 51, no. 6, pp. 20-27, Jun. 2013.
4. X. Ge, L. Pan, S. Tu, H.-H. Chen, and C.-X. Wang, "5G ultra-dense cellular networks, " IEEE Wireless Commun., vol. 23, no. 1, pp. 72-76, Feb. 2014.
5. L. Lei, Z. Zhong, K. Zheng, J. Chen, and H. Meng, "Challenges on wireless heterogeneous networks for mobile cloud computing, " IEEE Wireless Commun. Mag., vol. 20, no. 3, pp. 34-44, Jun. 2013.
6. D. Kovachev and R. Klamma, "Framework for computation offloading in mobile cloud computing, " Int. J. Interact. Multimedia Artif. Intell., vol. 1, pp. 6-15, Dec. 2012.
7. K. Kumar, J. Liu, Y.-H. Lu, and B. Bhargava, "A survey of computation offloading for mobile systems, " Mobile Netw. Appl., vol. 18, pp. 129-140, Feb. 2013.
8. Amazon EC2, 2017. [Online]. Available: https://aws.amazon.com/ec2/
9. L. Gkatzikis and I. Koutsopoulos, "Migrate or not? Exploiting dynamic task migration in mobile cloud computing systems, " IEEE Wireless Commun. Mag., vol. 20, no. 3, pp. 24-32, Jun. 2013.
10. A. Miettinen and J. Nurminen, "Energy efficiency of mobile clients in cloud computing, " in Proc. 2nd USENIX Conf. Hot Topics Cloud Comput., Jun. 2010, pp. 4-11.
11. S. Kosta, A. Aucinas, P. Hui, R. Mortier, and X. Zhang, "Thinkair: Dynamic resource allocation and parallel execution in the cloud for mobile code offloading, " in Proc. IEEE Int. Conf. Comput. Commun., Mar. 2012, pp. 945-953.
12. E. Cuervo et al., "MAUI: Making smartphones last longer with code offload, " in Proc. Int. Conf. Mobile Syst., Appl., Serv., Jun. 2010, pp. 49-62.
13. K. Kumar and Y.-H. Lu, "Cloud computing for mobile users: Can offloading computation save energy?" Computer, vol. 43, pp. 51-56, Apr. 2010.
14. E. Lagerspetz and S. Tarkoma, "Mobile search and the cloud: The benefits of offloading, " in Proc. IEEE Int. Conf. Pervasive Comput. Commun., Mar. 2011, pp. 117-122.
15. W. Zhang, Y. Wen, K. Guan, D. Kilper, H. Luo, and D. O. Wu, "Energyoptimal mobile cloud computing under stochastic wireless channel, " IEEE Trans. Wireless Commun., vol. 12, no. 9, pp. 4569-4581, Sep. 2013.
16. S. Barbarossa, S. Sardellitti, and P. D. Lorenzo, "Communicating while computing: Distributed mobile cloud computing over 5G heterogenous networks, " IEEE Signal Process. Mag., vol. 31, no. 6, pp. 45-55, Nov. 2014.
17. X. Chen, L. Jiao, W. Li, and W. Fu, "Efficient multi-user computation offloading for mobile-edge cloud computing, " IEEE/ACM Trans. Netw., vol. 24, no. 5, pp. 2795-2808, Oct. 2016.
18. P. Mach and Z. Becvar, "Mobile edge computing: A survey on architecture and computation offloading, " IEEE Commun. Surveys Tutorials, vol. 19, no. 3, pp. 1628-1656, Jul.-Sep. 2017.
19. Y. Mao, C. You, J. Zhang, K. Huang, and K. B. Letaief, "A survey on mobile edge computing: The communication perspective, " IEEE Commun. Surveys Tuts., vol. 19, no. 4, pp. 2322-2358, Aug. 2017.
20. O. Muñoz, A. Pascual-Iserte, and J. Vidal, "Optimization of radio and computational resources for energy efficiency in latency-constrained application offloading, " IEEE Trans. Veh. Technol., vol. 64, no. 64, pp. 4738-4755, Oct. 2015.
21. S. Sardellitti, G. Scutari, and S. Barbarossa, "Joint optimization of radio and computational resources for multicell mobile-edge computing, " IEEE Trans. Signal Inf. Process. Netw., vol. 1, no. 2, pp. 89-103, Jun. 2015.
22. M.-H. Chen, B. Liang, and M. Dong, "Joint offloading decision and resource allocation for mobile cloud with computing access point, " Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., Mar. 2016, pp. 3516-3520.
23. R. Hwang, M. Gen, and H. Katayama, "A comparison of multiprocessor task scheduling algorithms with communication costs, " Comput. Oper. Res., vol. 35, pp. 976-993, Mar. 2008.
24. J. Oueis, E. Calvanese-Strinati, A. Domenico, and S. Barbarossa, "On the impact of backhaul network on distributed cloud computing, " in Proc. IEEE Wireless Commun. Netw. Conf. Workshops, 2014, pp. 12-17.
25. G. Auer et al., "Energy efficiency analysis of the reference systems, areas of improvements and target breakdown, " Tech. Rep., Deliverable Rep. D2.3, ICT-247733 EARTH Project, Jan. 2012. [Online]. Available: http://cordis.europa.eu/docs/projects/cnect/3/247733/080/deliverables/001-EARTHWP2D23v2.pdf
26. A. R. Jensen, M. Lauridsen, P. Mogensen, T. B. Sorensen, and P. Jensen, "LTE UE power consumption model: For system level energy and performance optimization, " in Proc. IEEE Veh. Technol. Conf., Sep. 2012, pp. 1-5.
27. A. Pascual-Iserte, "Channel state information and joint transmitterreceiver design in multi-Antenna systems, " Ph.D. dissertation, Universitat Politècnica de Catalunya, Barcelona, Spain, Dec. 2004.
28. M. Biguesh and A. Gershman, "Training-based MIMO channel estimation: A study of estimator tradeoffs and optimal training signals, " IEEE Trans. Signal Process., vol. 54, no. 3, pp. 884-893, Mar. 2006.
29. R. Steele and L. Hanzo, Mobile Radio Communications, 2nd ed. Hoboken, NJ, USA: Wiley, 1999.
30. A. Pascual-Iserte, D. P. Palomar, A. I. Perez-Neira, and M. A. Lagunas, "A robust maximin approach for MIMO communications with imperfect channel state information based on convex optimization, " IEEE Trans. Signal Process., vol. 54, no. 1, pp. 346-360, Jan. 2006.
31. A. Papoulis, Probability, Random Variables and Stochastic Processes (Series in Electrical Engineering), 3rd ed. NewYork, NY, USA: McGraw-Hill, 1991.
32. R. Prasad, C. Dovrolis, M. Murray, and K. Claffy, "Bandwidth estimation: Metrics, measurement techniques, and tools, " IEEE Netw., vol. 17, no. 6, pp. 27-35, Nov./Dec. 2003.
33. C. Dovrolis, P. Ramanathan, and D. Moore, "What do packet dispersion techniques measure?" in Proc. IEEE INFOCOM, Apr. 2001, pp. 905-914.
34. R. Kapoor, L.-J. Chen, L. Lao, M. Gerla, and M. Y. Sanadidi, "CapProbe: A simple and accurate capacity estimation technique, " in Proc. ACM Spec. Interest Group Data Commun., Aug./Sep. 2004, pp. 67-78.
35. J. Wang and D. P. Palomar, "Worst-case robust MIMO transmission with imperfect channel knowledge, " IEEE Trans. Signal Process., vol. 57, no. 8, pp. 3086-3100, Aug. 2009.
36. K. B. Petersen and M. S. Pedersen, TheMatrix Cookbook. 2012. [Online]. Available: http://matrixcookbook.com
37. D. P. Palomar, "A unified framework for communications through MIMO channels, " Ph.D. dissertation, Universitat Politècnica de Catalunya, Barcelona, Spain, May 2003.
38. G. Scutari, D. P. Palomar, and S. Barbarossa, "TheMIMO iterative waterfilling algorithm, " IEEE Trans. Signal Process., vol. 57, no. 5, pp. 1917-1953, May 2009.
39. S. Boyd and L. Vandenberghe, Convex Optimization. Cambridge, U.K. Cambridge Univ. Press, 2004.
40. M. Molina, O. Muñoz, A. Pascual-Iserte, and J. Vidal, "Joint scheduling of communication and computation resources in multiuser wireless application offloading, " in Proc. IEEE Int. Symp. Pers., Indoor Mobile Radio Commun., Sep. 2014, pp. 1093-1098.
41. S. M. Kay, Fundamentals of Statistical Signal Processing: Estimation Theory, 1st ed. Englewood Cliffs, NJ, USA: Prentice-Hall, 1993.
42. M. L. Eaton, Multivariate Statistics: A Vector Space Approach, Monograph Series, vol. 53. Beachwood, OH, USA: Inst. Math. Statist., 2007, 512 pp.