International Journal of Information Technology and Computer Science(IJITCS)

ISSN: 2074-9007 (Print), ISSN: 2074-9015 (Online)

Published By: MECS Press

IJITCS Vol.7, No.11, Oct. 2015

A Novel Approach for Reduce Energy Consumption in Mobile Cloud Computing

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Najmeh Moghadasi, Mostafa Ghobaei Arani, Mahboubeh Shamsi

Index Terms

Mobile Cloud Computing;Energy consumption;Mobile device;Learning Automata


In recent years, using mobile devices has a special place in human life and applicability of these devices leads to increased number of users. Business companies have integrated them with cloud computing technology and have provided mobile cloud in order to improve using mobile devices and overcome the energy consumption of mobile devices. In mobile cloud computing, computations and storages of mobile devices applications are transferred to cloud data centers and mobile devices are used merely as user interface to access services. Therefore, cloud computing will help to reduce energy consumption of mobile devices. In this paper, a new approach is given to reduce energy consumption of based on Learning Automata in mobile cloud computing. Simulation results show that our proposed approach dramatically saves energy consumption through determining the appropriate location for application.

Cite This Paper

Najmeh Moghadasi, Mostafa Ghobaei Arani, Mahboubeh Shamsi,"A Novel Approach for Reduce Energy Consumption in Mobile Cloud Computing", International Journal of Information Technology and Computer Science(IJITCS), vol.7, no.11, pp.62-73, 2015. DOI: 10.5815/ijitcs.2015.11.08


[1]Foster, Ian, Yong Zhao, Ioan Raicu, and Shiyong Lu. "Cloud computing and grid computing 360-degree compared." In Grid Computing Environments Workshop, 2008. GCE'08, pp. 1-10. IEEE, 2008.

[2]Monireh Fallah, Mostafa Ghobaei Arani and Mehrdad Maeen. "NASLA: Novel Auto Scaling Approach based on Learning Automata for Web Application in Cloud Computing Environment" International Journal of Computer Applications 113(2):18-23, March 2015.

[3]N. Fernando, S. W. Loke, and W. Rahayu, "Mobile cloud computing: A survey, " Future Generation Computer Systems, vol. 29, no. 1, pp. 84–106, Jan. 2013.

[4]Bahl, P., Han, R. Y., Li, L. E., Satyanarayanan, M." Advancing the state of mobile cloud computing." In Proceedings of the third ACM workshop on Mobile cloud computing and services (pp. 21-28). ACM, 2012, June.

[5]Fernando, N., Loke, S. W., & Rahayu, W. "Mobile cloud computing: A survey. "Future Generation Computer Systems, 29(1), 84-106, 2013.

[6]Dinh, H. T., Lee, C., Niyato, D., & Wang "A survey of mobile cloud computing: architecture, applications, and approaches." Wireless communications and mobile computing, 13(18), 1587-1611, 2013.

[7]Monireh Fallah, Mostafa Ghobaei Arani "ASTAW: Auto-Scaling Threshold-based Approach for Web Application in Cloud Computing Environment." International Journal of u- and e- Service, Science and Technology (IJUNESST),Vol.8, No.3, pp.221-230, 2015.

[8]Afife Fereydooni, Mostafa Ghobaei Arani and Mahboubeh Shamsi "EDLT: An Extended DLT to Enhance Load Balancing in Cloud Computing." International Journal of Computer Applications 108(7):6-11, December 2014.

[9]Md. Imran Alam, Manjusha Pandey, Siddharth S Rautaray,"A Comprehensive Survey on Cloud Computing", IJITCS, vol.7, no.2, pp.68-79, 2015. DOI: 10.5815/ijitcs.2015.02.09.

[10]Li, Z., Wang, C., & Xu, R. "Computational offloading to save energy on handheld devices: a partition scheme." In Proceedings of the 2001 international conference on Compilers, architecture, and synthesis for embedded systems (pp. 238-246). ACM, 2001, November.

[11]Lee, C., Potkonjak, M., & Mangione-Smith, W. H. "MediaBench: a tool for evaluating and synthesizing multimedia and communicatons systems." In Proceedings of the 30th annual ACM/IEEE international symposium on Microarchitecture (pp. 330-335). IEEE Computer Society, 1997, December.

[12]La, H. J., & Kim, S. D. "A conceptual framework for provisioning context-aware mobile cloud services." In Cloud Computing (CLOUD), 2010 IEEE 3rd International Conference on (pp. 466-473). IEEE, 2010, July.

[13]Chun, B. G., & Maniatis, P. (). "Augmented Smartphone Applications Through Clone Cloud Execution." In HotOS (Vol. 9, pp. 8-11). 2009, May.

[14]Ma, X., Cui, Y., & Stojmenovic, I. "Energy efficiency on location based applications in mobile cloud computing: a survey." Procedia Computer Science, 10, 577-584, 2012.

[15]Global Positioning System, Standard Positioning System Service, Signal Specification, 2nd Edition, page 18, 1995.

[16]Yao, D., Yu, C., Jin, H., & Zhou, J. "Energy Efficient Task Scheduling in Mobile Cloud Computing." In Network and Parallel Computing (pp. 344-355). Springer Berlin Heidelberg, 2013.

[17]Giurgiu, I., Riva, O., Juric, D., Krivulev, I., & Alonso, G. "Calling the cloud: enabling mobile phones as interfaces to cloud applications." In Middleware 2009 (pp. 83-102). Springer Berlin Heidelberg, 2009.?

[18]Rellermeyer, J. S., Riva, O., & Alonso, G. "AlfredO: an architecture for flexible interaction with electronic devices."In Proceedings of the 9th ACM/IFIP/USENIX International Conference on Middleware (pp. 22-41). Springer-Verlag New York, Inc, 2008, December.

[19]Rellermeyer, J. S., Alonso, G., & Roscoe, T. "R-OSGi: distributed applications through software modularization." In Proceedings of the ACM/IFIP/USENIX 2007 International Conference on Middleware (pp. 1-20). Springer-Verlag New York, Inc, 2007, November.

[20]Behnaz Seyed Taheri, Mostafa Ghobaei Arani and Mehrdad Maeen. "ACCFLA: Access Control in Cloud Federation using Learning Automata. "International Journal of Computer Applications 107(6):30-40, December 2014.