On the Optimality of Task Offloading in Mobile Edge Computing Environments

Alghamdi, I., Anagnostopoulos, C. and Pezaros, D. P. (2020) On the Optimality of Task Offloading in Mobile Edge Computing Environments. In: IEEE Global Communications Conference 2019, Hawaii, USA, 09-13 Dec 2019, ISBN 9781728109626 (doi: 10.1109/GLOBECOM38437.2019.9014081)

191030.pdf - Accepted Version



Mobile Edge Computing (MEC) has emerged as new computing paradigm to improve the QoS of users' applications. A challenge in MEC is computation (task/data) offloading, whose goal is to enhance the mobile devices' capabilities to face the requirements of new applications. Computation offloading faces the challenges of where and when to offload data to perform computing (analytics) tasks. In this paper, we tackle this problem by adopting the principles of Optimal Stopping Theory contributing with two time-optimized sequential decision making models. A performance evaluation is provided using real world data sets compared with baseline deterministic and stochastic models. The results show that our approach optimizes such decision in single user and competitive users scenarios.

Item Type:Conference Proceedings
Glasgow Author(s) Enlighten ID:Anagnostopoulos, Dr Christos and Alghamdi, Ibrahim Ahmed I and Pezaros, Professor Dimitrios
Authors: Alghamdi, I., Anagnostopoulos, C., and Pezaros, D. P.
College/School:College of Science and Engineering
College of Science and Engineering > School of Computing Science
Copyright Holders:Copyright © 2019 IEEE
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher
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