Fault Tolerant Dynamic Task Offloading with Cloudlets in Mobile Cloud Computing
D. Shobha Rani1, M. Pounambal2

1D. Shobha Rani, School of Computing Science, and Engineering Vellore Institute of Technology, Vellore, Tamil Nadu, India.

2Dr. M. Pounambal, School of Information Technology and Engineering Vellore Institute of Technology, Vellore, Tamil Nadu, India.

Manuscript received on 10 April 2019 | Revised Manuscript received on 17 April 2019 | Manuscript Published on 26 July 2019 | PP: 927-936 | Volume-8 Issue-6S4 April 2019 | Retrieval Number: F11890486S419/19©BEIESP | DOI: 10.35940/ijitee.F1189.0486S419

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The mobile computing and cloud computing together form into Mobile Cloud Computing (MCC). The mobile devices have some limitations like computation power, battery life, etc., These limitations can be overcome by integrating with the cloud technology. Even in this case, delay will be introduced due to WAN properties during the offloading process of the tasks from mobile environment to cloud environment. This is reduced with the use of cloudlet environment. In this paper, fault tolerant dynamic task offloading with cloudlets in mobile cloud computing is proposed. The technical process of resisting against diseases by the human is incorporated in MCC to fight against the faulty machines in the system. The proposed system is simulated using openstack++ and evaluated in terms of task completion time. The performance of the proposed system is compared with the algorithm where rescheduling is not carried out and DR approach [28] and is proved to be performing better.

Keywords: Cloudlet, Mobile Cloud Computing, Disease Resistance Approach, Fault Tolerance.
Scope of the Article: Computer Science and Its Applications