Multiobjective Optimized Cloudlet Deployment and Task Offloading for Mobile-Edge Computing

Document Type

Article

Publication Date

10-15-2021

Abstract

Mobile-edge computing provides an effective approach to reducing the workload of smart devices and the network delay induced by data transfer through deploying computational resources in the proximity of the devices. In a mobile-edge computing system, it is of great importance to improve the quality of experience of users and reduce the deployment cost for service providers. This article investigates a joint cloudlet deployment and task offloading problem with the objectives of minimizing energy consumption and task response delay of users and the number of deployed cloudlets. Since it is a multiobjective optimization problem, a set of tradeoff solutions ought to be found. After formulating this problem as a mixed-integer nonlinear program and proving its NP-completeness, we propose a modified guided population archive whale optimization algorithm to solve it. The superiority of our devised algorithm over other methods is confirmed through extensive simulations.

Identifier

85104229462 (Scopus)

Publication Title

IEEE Internet of Things Journal

External Full Text Location

https://doi.org/10.1109/JIOT.2021.3073113

e-ISSN

23274662

First Page

15582

Last Page

15595

Issue

20

Volume

8

Grant

075-15-2020-903

Fund Ref

Ministry of Education and Science of the Russian Federation

This document is currently not available here.

Share

COinS