Power and Energy-efficient VM scheduling in OpenStack Cloud Through Migration and Consolidation using Wake-on-LAN

Abstract

On-demand provisioning of computing resources using the network over the Cloud consumes a tremendous amount of energy. The energy consumed does not scale out efficiently with the computational use of the resources. A large portion accounts for the power consumption to drive the hardware and cooling facilities for the hardware resources. Nowadays, energy and power consumption have become the most critical concerns in data centers. This work highlights a novel technique to achieve energy efficiency through server consolidation to address the abovementioned situations by effectively scheduling Virtual Machines (VMs) onto the servers and rescheduling active VMs upon deletion of existing VMs through cold migration. An advanced technology, i.e. Wake on LAN (WoL), is employed through power wake for dynamic and wake up of the servers on private Cloud. Compared to existing models, the proposed approach's maximum estimated energy and power saved are experimentally verified to be 54% and 50%, respectively.

KEYWORDS:

• :Cloud computing
• Data center
• Migration
• OpenStack
• Virtualization
• Virtual machine

ACKNOWLEDGEMENTS

DST ref supported work. No. DST/ICPS/Cluster/CS Research/2018 (General) dated 13.03.2019.

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by Department of Science and Technology GOI: [Grant Number DST/ICPS/Cluster/CS Research/ Q3 2018 (General) dated].

Notes on contributors

Krishan Kumar

Krishan Kumar has done his MTech and PhD from VNIT Nagpur India in 2014 and 2019. He supervised 06 MTech students and leading 04 PhD scholars. He published more than 75 articles in reputed international conferences, book chapters, and reputed. journals, including IEEE transactions. His research interests include computer vision, artificial intelligence, machine learning, deep learning, video processing, multimedia analysis, real-time systems, virtualization, cloud security, natural language processing, and recommender systems. He is a Senior Member of IEEE and ACM. He is also a Life Member of IETE, ISTE, and IUPRAI.

Kunal Patange

Kunal Patange did a Bachelor of Technology in CSE from VNIT Nagpur, India. His current research areas are theoretical computer science, virtualization, and cloud computing. Email: [email protected]

Pushkar Pete

Pushkar Pete did a Bachelor of Technology in CSE from VNIT Nagpur, India. His current research areas are theoretical computer science, virtualization, and cloud computing. Email: [email protected]

Manjiri Wankhade

Manjiri Wankhade did a Bachelor of Technology in CSE from VNIT Nagpur, India. Her current research areas are theoretical computer science, virtualization, and cloud computing. Email: [email protected]

Arpitrama Chatterjee

Arpitrama Chatterjee did a Bachelor of Technology in CSE from VNIT Nagpur, India. His current research areas are theoretical computer science, virtualization, and cloud computing. Email: [email protected]

Manish Kurhekar

Manish P Kurhekar has done the PhD and BTech from VNIT Nagpur, India in 2015 and 1997, respectively and MTech from IIT Bombay, India in 1999, all in computer science and engineering. For the last eight years, he has been a faculty member in the Department of CSE, VNIT, Nagpur. Earlier, he has worked for 10 years in various organizations, including Texas Instruments, IBM India Research Labs, and Persistent Systems Ltd. His areas of interest are theoretical computer science, multi-agent systems, cloud computing, virtualization, bioinformatics, and systems biology. Email: [email protected]