Title: Optimisation of energy consumption in cloud video surveillance centre based on monitoring and placement of virtual machines
Authors: Majid Heidary; Ehsan Sadeghi Pour; Azad Noori; Maedeh Abedini Bagha
Addresses: Department of Electrical and Computer Engineering, Université Laval, Quebec City, Quebec, Canada ' Department of Electrical and Computer Engineering, Temple University, Philadelphia, Pennsylvania, USA ' Department of Computer Engineering, Technical and Vocational University (TVU), Tehran, Iran ' Roshdiyeh Higher Education Institute, Tabriz, East Azerbaijan Province, Iran
Abstract: Cloud computing is one of the most popular computational models, which requires plenty of physical devices where services are provided based on user demand. A majority of data centres need plenty of energy consumption which has become a challenge in recent years. Regarding cloud video surveillance - as a contemporary research field of cloud computing and big data, the service, due to the high demand for monitoring remote places, continually consumes surplus energy to process the high-volume data. This study considers the importance of energy consumption in cloud video surveillance, and it has been tried to increase the efficiency of servers concerning energy usage. The proposed method employs virtual machine placement in two steps, including monitoring and placement, to reduce energy consumption and increase the efficiency of servers. Implementation results in Cloudsim showed that it reduces energy consumption and increases resource efficiency.
Keywords: cloud video surveillance; virtual machine placement; energy.
International Journal of Computer Applications in Technology, 2022 Vol.70 No.2, pp.94 - 103
Received: 13 Oct 2021
Accepted: 01 Mar 2022
Published online: 17 Apr 2023 *