Title: Optimal solar panel placement in mobile edge computing

Authors: Seyed Yahya Vaezpour

Addresses: Department of Mathematical Sciences, Sharif University of Technology, Tehran, Iran; Department of Computer Engineering, Sharif University of Technology, Tehran, Iran

Abstract: Mobile edge computing (MEC) enhances smart phone computational and storage capabilities by offloading tasks from mobile phones to the edge of the network where servers are placed near base stations. Since data centres consume electricity more and more each year, we consider locating renewable energy sources such as solar panels near each MEC. We tackle these challenges by strategically placing solar panels near MECs to minimise the energy costs. We formulate and solve the optimisation problem and present two algorithms to solve the optimisation problem. Moreover, we analyse the workload of each MEC during past years, and we present an algorithm to predict future workload of different MECs. We evaluate our solution using real Google traces collected over a 29-day period from a Google cluster. Simulation results show that with the help of our optimisation algorithms, we can effectively reduce the electricity costs and increase the green energy consumption.

Keywords: green energy; mobile edge computing; MEC; solar panel placement; mobile cloud computing.

DOI: 10.1504/IJAHUC.2021.10038977

International Journal of Ad Hoc and Ubiquitous Computing, 2021 Vol.37 No.2, pp.61 - 73

Received: 15 Jun 2020
Accepted: 23 Oct 2020

Published online: 24 Jun 2021 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article