In the last one decade, the utilization of mobile technology has increased tremendously. The development in the mobile technology is leading to the innovations in the smart phones. Now, smart phones are not only used for communication but also capable to support number of complex applications, mostly requires high computational power. Although these smart phones have several resource issues related to power capacity, data transfer, storage capacity, security and limited processing power etc. Power capacity is one of the most crucial issue of the current smart phones. However, mostly mobile devices emphasize on many power management functions to save the power but the overall saving is much less than actual requirement. In this situation, Mobile Cloud Computing provides good option of task offloading where any intensive computations are migrated to the remote servers or cloud. Mobile Cloud Computing is a new network paradigm which merged the features of mobile computing and cloud computing to overcome the issues of mobile devices. It can also be a power saving paradigm which needs serious attention. Thus, this paper proposed a novel approach for energy aware task offloading for mobile cloud environment.

Mobile Technology, Power Capacity, Mobile Cloud Computing, Task Offloading, Cloud Computing, Energy Aware Task Offloading

[1] A. Gani, H. Qi, “Research on Mobile Cloud Computing: Review, Trend and Perspectives”, Digital Information and Communication Technology and it`s Applications (DICTAP), Second International Conference, pp. 195-202, 2012.
[2] A. Gani, E. Ahmed, R. Buyya, Saeid Abolfazli, Z. Sanaei, "Cloud-Based Augmentation for Mobile Devices: Motivation, Taxonomies, and Open Challenges", IEEE Communications Surveys & Tutorials, Vol. 16, Issue. 1, 2013.
[3] A.P. Miettinen, J.K. Nurminen, "Energy Efficiency of Mobile Clients in Cloud Computing", In the Proceedings of the 2nd USENIX Conference on Hot Topics in Cloud Computing, USA, 2010.
[4] B.S. Lee, E. Leonardi, G. Goh, M. Kirchberg, V. March, Y. Gu, “μcloud: Towards a New Paradigm of Rich Mobile Applications”, Procedia Computer Science, Vol. 5, 2011, pp. 618–624.
[5] Cuervo, Eduardo, “MAUI: Making Smartphones Last Longer with Code Offload", In the Proceedings of the 8th international conference on Mobile systems, applications, and services, ACM, 2010.
[6] D. Tayade, “Mobile Cloud Computing: Issues, Security, Advantages, Trends”, International Journal of Computer Science and Information Technology, Vol. 5, pp. 6635-6639, 2014.
[7] Elgendy, A. Ibrahim, M.E. kawkagy, A. Keshk, "Improving the Performance of Mobile Applications using Cloud Computing", 9th International Conference on Informatics and Systems, IEEE, 2014.
[8] G. Badshah, J.M. Zain, M.F. Zolkipli, M. Ali, "Mobile Cloud Computing & Mobile Battery Augmentation Techniques: A Survey", IEEE, 2014.
[9] G.H. Forman, J. Zahorjan, “The Challenges of Mobile Computing”, IEEE Xplore Digital Library, 1994, pp. 38-47.
[10] Kumar, Karthik, Y.H. Lu, “Cloud Computing for Mobile Users: Can Offloading Computation Save Energy?”, Computer 43.4, 2010, pp. 51-56.
[11] Liu, Leslie, R. Moulic, D. Shea, “Cloud Service Portal for Mobile Device Management”, e-Business Engineering (ICEBE), IEEE 7th International Conference on, IEEE, 2010.
[12] Liu, Xing, S. Guo, Y. Yang, “Task Offloading with Execution Cost Minimization in Heterogeneous Mobile Cloud Computing”, International Conference on Mobile Ad-Hoc and Sensor Networks, Springer, Singapore, 2017.
[13] Lordan, Francesc, R.M. Badia, “Compss-mobile: Parallel Programming for Mobile Cloud Computing”, Journal of Grid Computing 15.3, 2017, pp. 357-378.
[14] M. Ali, G. Badshah, “Mobile Cloud Computing & Mobile`s Battery Efficiency Approaches: A Review”, Journal of Theoretical and Applied Information Technology 79.1, 2015, pp. 153-175.
[15] M. Shiraz, A. Gani, S. Khan, “Energy Efficient Computational Offloading Framework for Mobile Cloud Computing”, Journal of Grid Computing 13.1, 2015, pp. 1-18.
[16] N. Arya, S. Choudhary, T. Sunil, “An Energy Efficient Task Offloading for Mobile Cloud Environment”, International Journal of Computer Science and Network, Vol. 8, Issue. 3, 2019, pp. 306-310.
[17] Paulson, L. Dailey, “Low-power chips for high-powered handhelds”, Computer 1, 2003, pp. 21-23.
[18] Rahimi, M. Reza, N. Venkatasubramanian, A.V. Vasilakos, “MuSIC: Mobility-Aware Optimal Service Allocation in Mobile Cloud Computing”, IEEE Sixth International Conference on Cloud Computing, 2013.
[19] Rudenko, Alexey, “Saving Portable Computer Battery Power through Remote Process Execution”, ACM SIGMOBILE Mobile Computing and Communications Review 2.1, 1998, pp. 19-26.
[20] S. Kathuria, “A Survey on Security Provided by Multi-Clouds in Cloud Computing”, International Journal of Scientific Research in Network Security and Communication, Vol. 6, Issue. 1, pp. 23-27, 2018.
[21] S.M. Saad, S.C. Nandedkar, “Energy Efficient Mobile Cloud Computing”, International Journal of Computer Science and Information Technologies, Vol. 5(6), pp. 7837-7840, 2014.
[22] Saraf, D.H. Gawali, “IoT Based Smart Irrigation Monitoring and Controlling System”, Recent Trends in Electronics, Information & Communication Technology (RTEICT), 2nd IEEE International Conference, 2017.
[23] Smailagic, Asim, M. Ettus, “System Design and Power Optimization for Mobile Computers”, VLSI, Proceedings of IEEE, Computer Society Annual Symposium on IEEE, 2002.
[24] V.S. Varnika, “Cloud Computing Advantages and Challenges for Developing Nations”, International Journal of Scientific Research in Computer Sciences and Engineering, Vol. 6, Issue. 3, pp. 51-55, 2018.
[25] Wu, Huijun, D. Huang, “Modeling Multi-Factor Multi-Site Risk-based Offloading for Mobile Cloud Computing”, 10th International Conference on Network and Service Management and Workshop, IEEE, 2014.
[26] Y.G. Patil, P.S. Deshmukh, “A Review: Mobile Cloud Computing: Its Challenges and Security”, International Journal of Scientific Research in Network Security and Communication, Vol. 6, Issue. 1, pp. 11-13, 2018.