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Sustainability 2018, 10(5), 1611; https://doi.org/10.3390/su10051611

Computation Offloading Algorithm for Arbitrarily Divisible Applications in Mobile Edge Computing Environments: An OCR Case

1
School of Information Science and Engineering, Yunnan University, Kunming 650091, China
2
College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China
3
School of Computing Science and Engineering, Vellore Institute of Technology (VIT), Vellore 632014, India
4
Department of Embedded Systems Engineering, Incheon National University, Incheon 22012, Korea
*
Author to whom correspondence should be addressed.
Received: 29 March 2018 / Revised: 7 May 2018 / Accepted: 8 May 2018 / Published: 17 May 2018
(This article belongs to the Special Issue 5G Mobile Services and Scenarios: Challenges and Solutions)
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Abstract

Divisible applications are a class of tasks whose loads can be partitioned into some smaller fractions, and each part can be executed independently by a processor. A wide variety of divisible applications have been found in the area of parallel and distributed processing. This paper addresses the problem of how to partition and allocate divisible applications to available resources in mobile edge computing environments with the aim of minimizing the completion time of the applications. A theoretical model was proposed for partitioning an entire divisible application according to the load of the application and the capabilities of available resources, and the solutions were derived in closed form. Both simulations and real experiments were carried out to justify this model. View Full-Text
Keywords: mobile edge computing; intelligent 5G services; computation offloading; divisible load theory mobile edge computing; intelligent 5G services; computation offloading; divisible load theory
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Li, B.; He, M.; Wu, W.; Sangaiah, A.K.; Jeon, G. Computation Offloading Algorithm for Arbitrarily Divisible Applications in Mobile Edge Computing Environments: An OCR Case. Sustainability 2018, 10, 1611.

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