Title: Nature inspired firefly algorithm for efficient tasks management in smart grid

Authors: Basetty Mallikarjuna

Addresses: Institute of Aeronautical Engineering, Dundigal – 5000043, Hyderabad, Telangana, India

Abstract: In smart grid environment the increase in network bandwidth, energy management, and power management are a challenging issues. The demand for integrated services like IoT-based cloud infrastructure, at the end of the network of fog computing, it optimises the resource utilisation and effective management of tasks makes a significant role. The tasks are moved from one resource to another resource in an important paradigm of cloud-fog platform (CFP) for efficient resource allocation. This paper proposes an efficient firefly algorithm (FFA) to maximise the resource utilisation and provided effective management of tasks provided by the service level agreement (SLA). The effective management of task contains several factors such as allocation of tasks to virtual machines (VMs), data centres and fog nodes. This paper provides an improved performance of quality of service (QoS) parameters like execution time, response time, makespan, migration of tasks. And also this paper compared FFA algorithm with the existing algorithm honey bee behaviour load balancing algorithm (HBLBA). The proposed FFA algorithm provides effective management of tasks in terms of QoS metrics.

Keywords: cloud-fog platform; CFP; IoT-based cloud; service level agreement; SLA; quality of service; QoS; virtual machines; makespan; migration of tasks; fog nodes; data centres.

DOI: 10.1504/IJSGGC.2024.140403

International Journal of Smart Grid and Green Communications, 2024 Vol.2 No.3, pp.191 - 208

Received: 18 Sep 2020
Accepted: 06 May 2021
Published online: 07 Aug 2024 *

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