Energy-efficient and network-aware offloading algorithm for mobile cloud computing

Computer Networks

Volumn 74, Issue PB, 2014, Pages 22-33

  Sarathchandra Magurawalage, Chathura M ^a   Yang, Kun ^a   Hu, Liang ^b   Zhang, Jianming ^c  

^a UNIVERSITY OF ESSEX   (United Kingdom)

^b JILIN UNIVERSITY   (China)

^c CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Energy efficiency; Mobile clone; Mobile cloud computing; Mobile cloudlet; Offloading algorithm

Indexed keywords

ALGORITHMS; CLONING; DECISION MAKING; ENERGY EFFICIENCY; ENERGY UTILIZATION; MOBILE DEVICES; NETWORK ARCHITECTURE; RESPONSE TIME (COMPUTER SYSTEMS); STANDARDS;

CLOSE PROXIMITY; CLOUD INFRASTRUCTURES; EFFECTIVENESS AND EFFICIENCIES; ENERGY EFFICIENT; MOBILE CLOUDLET; RESPONSE-TIME CONSTRAINT; SYSTEM ARCHITECTURES; TASK EXECUTIONS;

MOBILE CLOUD COMPUTING;

EID: 84912568599     PISSN: 13891286     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.comnet.2014.06.020     Document Type: Article

References (43)

1. S. Qureshi, T. Ahmad, K. Rafique, S. ul Islam, Mobile cloud computing as future for mobile applications - implementation methods and challenging issues, in: 2011 IEEE International Conference Cloud Computing and Intelligence Systems (CCIS), 2011, pp. 467-471.
2. L. Yang, J. Cao, S. Tang, T. Li, and A.T.S. Chan A framework for partitioning and execution of data stream applications in mobile cloud computing R. Chang, IEEE CLOUD 2012 IEEE 794 802
3. B.-G. Chun, S. Ihm, P. Maniatis, M. Naik, and A. Patti Clonecloud: elastic execution between mobile device and cloud Proceedings of the 6th Conference on Computer Systems, EuroSys '11 2011 ACM 301 314
4. S. Kosta, A. Aucinas, P. Hui, R. Mortier, X. Zhang, Thinkair: dynamic resource allocation and parallel execution in the cloud for mobile code offloading, in: Proceedings of IEEE INFOCOM 2012, 2012, pp. 945-953.
5. D. Chang, G. Xu, L. Hu, K. Yang, A network-aware virtual machine placement algorithm in mobile cloud computing environment, in: 2013 IEEE Wireless Communications and Networking Conference Workshops (WCNCW), 2013, pp. 117-122.
6. IEEE Standard for local and metropolitan area networks part 16: air interface for fixed and mobile broadband wireless access systems amendment 2: physical and medium access control layers for combined fixed and mobile operation in licensed bands and corrigendum 1 IEEE Std 802.16e-2005 and IEEE Std 802.16-2004/Cor 1-2005 (Amendment and Corrigendum to IEEE Std 802.16-2004) 2006 IEEE
7. J.D. Power and Associates, US Wireless Smartphone and Traditional Mobile Phone Satisfaction Studies, 2012.
8. K. Kumar, and Y.-H. Lu Cloud computing for mobile users: can offloading computation save energy? Computer 43 2010 51 56
9. H. Wu, Q. Wang, K. Wolter, Methods of cloud-path selection for offloading in mobile cloud computing systems, in: IEEE 4th International Conference on Cloud Computing Technology and Science (CloudCom), 2012, pp. 443-448.
10. Y. Wu, G. Min, and A. Al-Dubai A new analytical model for multi-hop cognitive radio networks IEEE Trans. Wireless Commun. 11 2012 1643 1648
11. R. Kemp, N. Palmer, T. Kielmann, and H. Bal Cuckoo: a computation offloading framework for smartphones Mobile Computing, Applications, and Services 2012 Springer 59 79
12. G.F. Nan, Z.F. Mao, M.Q. Li, Y. Zhang, S. Gjessing, H.G. Wang, and M. Guizani Distributed resource allocation in cloud-based wireless multimedia social networks IEEE Netw. Magaz. 28 4 2014 74 80
13. S. Kosta, C. Perta, J. Stefa, P. Hui, A. Mei, Clone2clone (c2c): Enable Peer-to-Peer Networking of Smartphones on the Cloud, Technical Report TR-SK032012AM, T-Labs, Deutsche Telekom, 2012.
14. E. Cuervo, A. Balasubramanian, D.-K. Cho, A. Wolman, S. Saroiu, R. Chandra, and P. Bahl Maui: making smartphones last longer with code offload Proceedings of the 8th International Conference on Mobile Systems, Applications, and Services 2010 ACM 49 62
15. K.K. Rachuri, C. Mascolo, M. Musolesi, and P.J. Rentfrow Sociablesense: exploring the trade-offs of adaptive sampling and computation offloading for social sensing Proceedings of the 17th Annual International Conference on Mobile Computing and Networking 2011 ACM 73 84
16. M.V. Barbera, S. Kosta, A. Mei, V.C. Perta, J. Stefa, CDroid: Towards a cloud-integrated mobile operating system, in: Proceedings of 2013 IEEE INFOCOM, 2013.
17. M. Satyanarayanan, P. Bahl, R. Caceres, and N. Davies The case for VM-based cloudlets in mobile computing IEEE Pervasive Comput. 8 4 2009 14 23
18. R. Yu, Y. Zhang, S. Gjessing, W. Xia, and K. Yang Toward cloud-based vehicular networks with efficient resource management IEEE Netw. 27 2013 48 55
19. D.T. Hoang, D. Niyato, P. Wang, Optimal admission control policy for mobile cloud computing hotspot with cloudlet, in: 2012 IEEE Wireless Communications and Networking Conference (WCNC), 2012, pp. 3145-3149.
20. D. Niyato, P. Wang, E. Hossain, W. Saad, Z. Han, Game theoretic modeling of cooperation among service providers in mobile cloud computing environments, in: 2012 IEEE Wireless Communications and Networking Conference (WCNC), 2012, pp. 3128 -3133.
21. A.-D. Nguyen, P. Senac, V. Ramiro, How mobility increases mobile cloud computing processing capacity, in: 1st International Symposium on Network Cloud Computing and Applications (NCCA), 2011, pp. 50-55.
22. T.-Y. Lin, T.-A. Lin, C.-H. Hsu, C.-T. King, Context-aware decision engine for mobile cloud offloading, in: 2013 IEEE Wireless Communications and Networking Conference Workshop (WCNCW), 2013, pp. 111-116.
23. D. Kovachev, T. Yu, R. Klamma, Adaptive computation offloading from mobile devices into the cloud, in: IEEE 10th International Symposium on Parallel and Distributed Processing with Applications (ISPA), 2012, pp. 784-791.
24. H. Wu, D. Huang, S. Bouzefrane, Making offloading decisions resistant to network unavailability for mobile cloud collaboration, in: 9th International Conference on Collaborative Computing: Networking, Applications and Worksharing (Collaboratecom), 2013, pp. 168-177.
25. S. Ou, K. Yang, L. Hu, Cross: a combined routing and surrogate selection algorithm for pervasive service offloading in mobile ad hoc environments, in: Proceedings of the 2007 IEEE Global Telecommunications Conference, 2007, pp. 720-725.
26. R. Wolski, S. Gurun, C. Krintz, D. Nurmi, Using bandwidth data to make computation offloading decisions, in: IEEE 2008 International Symposium on Parallel and Distributed Processing, IPDPS 2008, 2008, pp. 1-8.
27. L. Feeney, M. Nilsson, Investigating the energy consumption of a wireless network interface in an ad hoc networking environment, in: Proceedings of INFOCOM 2001, the 20th Annual Joint Conference of the IEEE Computer and Communications Societies, vol. 3, 2001, pp. 1548-1557.
28. Y. Wen, W. Zhang, H. Luo, Energy-optimal mobile application execution: Taming resource-poor mobile devices with cloud clones, in: Proceedings of the 2012 IEEE INFOCOM Conference, 2012, pp. 2716-2720.
29. J.M. Rabaey, A. Chandrakasan, and B. Nikolic Digital Integrated Circuits 1996 Prentice Hall Englewood Cliffs, NJ, USA
30. K. Sinha, M. Kulkarni, Techniques for fine-grained, multi-site computation offloading, in: 2011 IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 2011, pp. 184-194.
31. H. Niksic, GNU Wget, Available From the Master GNU Archive Site < http://prep.ai.mit.edu > and its Mirrors, 1998.
32. A. Kivity, Y. Kamay, D. Laor, U. Lublin, A. Liguori, KVM: the Linux virtual machine monitor, in: Proceedings of the Linux Symposium, vol. 1, 2007, pp. 225-230.
33. S. Abolfazli, Z. Sanaei, M. Alizadeh, A. Gani, and F. Xia An experimental analysis on cloud-based mobile augmentation in mobile cloud computing IEEE Trans. Consumer Electron. 60 2014 146 154
34. K. Kumar, J. Liu, Y.-H. Lu, and B. Bhargava A survey of computation offloading for mobile systems Mob. Netw. Appl. 18 1 2013 129 140
35. D. Huang, P. Wang, and D. Niyato A dynamic offloading algorithm for mobile computing IEEE Trans. Wireless Commun. 11 6 2012 1991 1995
36. L. Zhang, B. Tiwana, R. Dick, Z. Qian, Z. Mao, Z. Wang, L. Yang, Accurate online power estimation and automatic battery behavior based power model generation for smartphones, in: 2010 IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), 2010, pp. 105-114.
37. A. Rahmati, and L. Zhong Context-based network estimation for energy-efficient ubiquitous wireless connectivity IEEE Trans. Mobile Comput. 10 1 2011 54 66
38. N. Balasubramanian, A. Balasubramanian, and A. Venkataramani Energy consumption in mobile phones: a measurement study and implications for network applications Proceedings of the 9th ACM SIGCOMM Conference on Internet Measurement Conference 2009 ACM 280 293
39. S.C. Cripps RF Power Amplifiers for Wireless Communications second ed. 2006 Artech House, Inc. Norwood, MA, USA
40. R.N. Calheiros, R. Ranjan, A. Beloglazov, C.A.F. De Rose, and R. Buyya Cloudsim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms Softw. Pract. Exper. 41 1 2011 23 50
41. R. Buyya, R. Ranjan, R. Calheiros, Modeling and simulation of scalable cloud computing environments and the Cloudsim toolkit: challenges and opportunities, in: 2009 International Conference on High Performance Computing Simulation, HPCS '09, 2009, pp. 1-11.
42. W. Yuan, and K. Nahrstedt Energy-efficient soft real-time CPU scheduling for mobile multimedia systems SIGOPS Oper. Syst. Rev. 37 2003 149 163
43. W. Yuan, and K. Nahrstedt Energy-efficient CPU scheduling for multimedia applications ACM Trans. Comput. Syst. 24 2005 292 331