COMPUTATIONAL OFFLOADING FOR PERFORMANCE IMPROVEMENT AND ENERGY SAVING IN MOBILE DEVICES
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How to Cite

Chen, Joy Iong Zong. 2019. “COMPUTATIONAL OFFLOADING FOR PERFORMANCE IMPROVEMENT AND ENERGY SAVING IN MOBILE DEVICES”. IRO Journal on Sustainable Wireless Systems 1 (4): 225-34. https://doi.org/10.36548/jsws.2019.4.003.

Keywords

— Computational Offloading
— Mobile Devices
— Performance Improvement
— Energy Saving
— Storage Enhancement and Extended Battery Life
Published: 31-12-2019

Abstract

The mobiles devices such as the smart phones and the wearables take a vital role in our daily life scenario as they are been used as alternative for many devices apart from communication. The mobile devices that are controlled in terms of dimensions and weightiness to make them easy and flexible for handling in turn limits the computational energy, storage and the lifetime of the battery. So this entails the need for the external device to support the mobile devices by providing a computational power, storage and energy, this is known as the computational offloading. So the paper puts forth the mobile cloud services as an external platform to offload the resource intensive computation tasks of the mobile devices to enhance the performance of the mobile devices in terms of storage, energy consumption and battery life. The performance evaluation of the mobile cloud based offloading in the mobile devices proves the efficiency of the proffered method in terms of storage, energy and battery lifetime.

References

  1. Khan, Minhaj Ahmad. "A survey of computation offloading strategies for performance improvement of applications running on mobile devices." Journal of Network and Computer Applications 56 (2015): 28-40.
  2. Mtibaa, Abderrahmen, Khaled A. Harras, and Afnan Fahim. "Towards computational offloading in mobile device clouds." In 2013 IEEE 5th international conference on cloud computing technology and science, vol. 1, pp. 331-338. IEEE, 2013.
  3. Kumar, Karthik, Jibang Liu, Yung-Hsiang Lu, and Bharat Bhargava. "A survey of computation offloading for mobile systems." Mobile Networks and Applications 18, no. 1 (2013): 129-140.
  4. Fahim, Afnan, Abderrahmen Mtibaa, and Khaled A. Harras. "Making the case for computational offloading in mobile device clouds." In Proceedings of the 19th annual international conference on Mobile computing & networking, pp. 203-205. ACM, 2013.
  5. Kovachev, Dejan, Tian Yu, and Ralf Klamma. "Adaptive computation offloading from mobile devices into the cloud." In 2012 IEEE 10th International Symposium on Parallel and Distributed Processing with Applications, pp. 784-791. IEEE, 2012.
  6. Kumar, Karthik, and Yung-Hsiang Lu. "Cloud computing for mobile users: Can offloading computation save energy?." Computer 4 (2010): 51-56.
  7. Jiao, Lei, Roy Friedman, Xiaoming Fu, Stefano Secci, Zbigniew Smoreda, and Hannes Tschofenig. "Cloud-based computation offloading for mobile devices: State of the art, challenges and opportunities." In 2013 Future Network & Mobile Summit, pp. 1-11. IEEE, 2013.
  8. Mao, Yuyi, Jun Zhang, and Khaled B. Letaief. "Dynamic computation offloading for mobile-edge computing with energy harvesting devices." IEEE Journal on Selected Areas in Communications 34, no. 12 (2016): 3590-3605.
  9. Shi, Cong, Karim Habak, Pranesh Pandurangan, Mostafa Ammar, Mayur Naik, and Ellen Zegura. "Cosmos: computation offloading as a service for mobile devices." In Proceedings of the 15th ACM international symposium on Mobile ad hoc networking and computing, pp. 287-296. ACM, 2014.
  10. Zhang, Xinwen, Anugeetha Kunjithapatham, Sangoh Jeong, and Simon Gibbs. "Towards an elastic application model for augmenting the computing capabilities of mobile devices with cloud computing." Mobile Networks and Applications 16, no. 3 (2011): 270-284.
  11. Qian, Hao, and Daniel Andresen. "Extending mobile device's battery life by offloading computation to cloud." In Proceedings of the Second ACM International Conference on Mobile Software Engineering and Systems, pp. 150-151. IEEE Press, 2015.
  12. Chen, Guangyu, B-T. Kang, Mahmut Kandemir, Narayanan Vijaykrishnan, Mary Jane Irwin, and Rajarathnam Chandramouli. "Studying energy tradeoffs in offloading computation/compilation in java-enabled mobile devices." IEEE Transactions on Parallel and Distributed Systems 15, no. 9 (2004): 795-809.
  13. Olsson, Andrea E. Particle swarm optimization: theory, techniques and applications. Nova Science Publishers, Inc., 2010.
  14. Qi, Weijie, Baoling Zhang, Bozhong Chen, and Jie Zhang. "A user-based K-means clustering offloading algorithm for heterogeneous network." In 2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC), pp. 307-312. IEEE, 2018.