Title: Reducing the environmental impact of cloud data centres achieved through renewable energy sources under power grid energy trading with enhanced VM consolidation techniques

Authors: R. Karthikeyan; Ulligaddala Srinivasarao; Shanmugasundaram Hariharan; Prakash Kumar Sarangi; Bhawani Sankar Panigrahi

Addresses: Department of CSE (AI&ML), Vardhaman College of Engineering, Hyderabad, India ' Department of CSE, GITAM University, Hyderabad, India ' Department of CSE, Vardhaman College of Engineering, Hyderabad, India ' Department of CSE (AI&ML), Vardhaman College of Engineering, Hyderabad, India ' Department of IT, Vardhaman College of Engineering, Hyderabad, India

Abstract: In this article, we focus on the problems of cost-effective green scheduling for cloud data centres through power trading and power grid transactions. Energy utilised to power the data centres can either be self-generated or it can be acquired from a renewable power plant. In order to partially offset the high-energy costs of data centres, they can either be directly powered by renewable energy sources or their excess electricity can be deposited in energy storage devices (ESD). This article is focused on the following two problem statements that have been identified: 1) cutting down on the total amount of energy by carefully organising users' needs, infrastructure, and the application of different types of energy sources; 2) lowering overall carbon discharges through an effective plan for energy use our tryouts prove that our methodology can significantly cut cloud data centres' carbon emissions by 15% compared to the existing methodology.

Keywords: virtual machine; sustainability; virtual machine manager; power consumption.

DOI: 10.1504/IJSEM.2025.146242

International Journal of Services, Economics and Management, 2025 Vol.16 No.3, pp.277 - 296

Received: 03 Jun 2023
Accepted: 17 Sep 2023
Published online: 14 May 2025 *

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