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Effective Task Migration to Reduce Execution Time in Mobile Cloud Computing

Saha, Sajeeb and HASAN, Mohammad (2017) Effective Task Migration to Reduce Execution Time in Mobile Cloud Computing. In: the 23rd International Conference on Automation & Computing (ICAC), Huddersfield, UK, 2017, 7-8 Sep 2017, Huddersfield, UK.

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Abstract or description

With the advancements of mobile technologies, different compute-intensive tasks are emerging rapidly. However, due to resource constraints, these tasks are facing challenges to execute on mobile devices. As a solution to this problem, cloud migration has been introduced to execute a task on the cloud and then to return the results to the user mobile device. In this paper, a cloud migration decision making algorithm for compute-intensive tasks has been proposed to determine the feasibility of execution on a cloud server instead of a mobile device. Furthermore, the performances between mobile and cloud executions have been investigated which shows that the task completion time can be minimised by 6-8 times when a cloud server is utilised

Item Type: Conference or Workshop Item (Paper)
Faculty: School of Computing and Digital Technologies > Computing
Event Title: the 23rd International Conference on Automation & Computing (ICAC), Huddersfield, UK, 2017
Event Location: Huddersfield, UK
Event Dates: 7-8 Sep 2017
Depositing User: Mohammad HASAN
Date Deposited: 30 Jun 2017 08:31
Last Modified: 24 Feb 2023 13:48
URI: https://eprints.staffs.ac.uk/id/eprint/3593

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