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)

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Abstract

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
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Alghamdi, Ibrahim Ahmed I and Anagnostopoulos, Dr Christos 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
ISSN:2576-6813
ISBN:9781728109626
Copyright Holders:Copyright © 2019 IEEE
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher
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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
709131Network Measurement as a Service (MaaS)Dimitrios PezarosEngineering and Physical Sciences Research Council (EPSRC)EP/N033957/1COM - COMPUTING SCIENCE
722161FRuIT: The Federated RaspberryPi Micro-Infrastructure TestbedJeremy SingerEngineering and Physical Sciences Research Council (EPSRC)EP/P004024/1COM - COMPUTING SCIENCE