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Open AccessArticle

Delay-Tolerant Sequential Decision Making for Task Offloading in Mobile Edge Computing Environments

School of Computing Science, University of Glasgow, Glasgow G12 8QQ, UK
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This paper is an extended version of our paper published in the proceedings of Wireless Days 2019.
Information 2019, 10(10), 312; https://doi.org/10.3390/info10100312
Received: 24 August 2019 / Revised: 4 October 2019 / Accepted: 7 October 2019 / Published: 12 October 2019
(This article belongs to the Special Issue Emerging Topics in Wireless Communications for Future Smart Cities)
In recent years, there has been a significant increase in the use of mobile devices and their applications. Meanwhile, cloud computing has been considered as the latest generation of computing infrastructure. There has also been a transformation in cloud computing ideas and their implementation so as to meet the demand for the latest applications. mobile edge computing (MEC) is a computing paradigm that provides cloud services near to the users at the edge of the network. Given the movement of mobile nodes between different MEC servers, the main aim would be the connection to the best server and at the right time in terms of the load of the server in order to optimize the quality of service (QoS) of the mobile nodes. We tackle the offloading decision making problem by adopting the principles of optimal stopping theory (OST) to minimize the execution delay in a sequential decision manner. A performance evaluation is provided using real world data sets with baseline deterministic and stochastic offloading models. The results show that our approach significantly minimizes the execution delay for task execution and the results are closer to the optimal solution than other offloading methods. View Full-Text
Keywords: mobile edge computing; tasks offloading; optimal stopping theory; sequential decision making mobile edge computing; tasks offloading; optimal stopping theory; sequential decision making
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Alghamdi, I.; Anagnostopoulos, C.; P. Pezaros, D. Delay-Tolerant Sequential Decision Making for Task Offloading in Mobile Edge Computing Environments. Information 2019, 10, 312.

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