Title: Efficient resource allocation for consumers' power requests in cloud-fog-based system

Authors: Rasool Bukhsh; Nadeem Javaid; Sakeena Javaid; Manzoor Ilahi; Itrat Fatima

Addresses: Department of Computer Science, COMSATS University Islamabad, Islamabad 44000, Pakistan ' Department of Computer Science, COMSATS University Islamabad, Islamabad 44000, Pakistan ' Department of Computer Science, COMSATS University Islamabad, Islamabad 44000, Pakistan ' Department of Computer Science, COMSATS University Islamabad, Islamabad 44000, Pakistan ' Department of Computer Science, COMSATS University Islamabad, Islamabad 44000, Pakistan

Abstract: The latency issue of cloud based system can degrade smart grid's real-time applications. This paper introduces a fog computing layer between the cloud and clients to provide energy management service in near real-time with optimised computing cost. In a region, in proposed system model, two clusters of residential buildings have access to two fogs for processing of their energy requests. A hybrid service broker policy and modified honey bee colony optimisation algorithm are proposed for efficient fog selection and balancing requests' load on virtual machines in the fog. The micro grids (MGs) are introduced in the system model between the fogs and the clusters for uninterrupted and cost-efficient power supply. The recurring cost of MGs and computing cost of the fogs make the system operation cost, which is payable by the consumers. The simulation validate the efficient system operation cost, processing and RT for power consumers.

Keywords: cloud computing; fog computing; response time; RT; processing time; smart grid; SG; micro grid; MG; load balancing.

DOI: 10.1504/IJWGS.2019.099562

International Journal of Web and Grid Services, 2019 Vol.15 No.2, pp.159 - 190

Received: 17 Oct 2018
Accepted: 29 Jan 2019
Published online: 09 May 2019 *

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