Optimal Code Partitioning over Time and Hierarchical Cloudlets

Document Type

Article

Publication Date

1-1-2018

Abstract

This letter proposes a task scheduling scheme designed for code partitioning over time and the hierarchical cloudlets in a mobile edge network. To this end, we define the so called energy-time cost parameters to optimally schedule tasks over time and hierarchical cloudlet locations. Accordingly, we investigate two different optimization scenarios. In particular, the first scenario aims at finding the optimal task scheduling for given radio parameters. In the second scenario, we carry out the optimization of both the task scheduling and the mobile device's transmission power. More importantly, we show that by adopting the proposed code partitioning scheme in this letter, the transmission power optimization problem becomes a disjoint problem from the task scheduling problem.

Identifier

85040699293 (Scopus)

Publication Title

IEEE Communications Letters

External Full Text Location

https://doi.org/10.1109/LCOMM.2017.2764904

ISSN

10897798

First Page

181

Last Page

184

Issue

1

Volume

22

Fund Ref

National Science Foundation

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