IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Performance Evaluation of Cloud Systems by Switching the Virtual Machines Power Mode Between the Sleep Mode and Active Mode

Performance Evaluation of Cloud Systems by Switching the Virtual Machines Power Mode Between the Sleep Mode and Active Mode
View Sample PDF
Author(s): Sudhansu Shekhar Patra (Kalinga Institute of Industrial Technology, India), Veena Goswami (Kalinga Institue of Industrial Technology, India)and G. B. Mund (Kalinga Institue of Industrial Technology, India)
Copyright: 2020
Pages: 24
Source title: Handbook of Research on Developments and Trends in Industrial and Materials Engineering
Source Author(s)/Editor(s): Prasanta Sahoo (Jadavpur University, India)
DOI: 10.4018/978-1-7998-1831-1.ch007

Purchase


Abstract

Data centers are cost-effective infrastructures for storing large volumes of data and hosting large scale service applications. Cloud computing service providers are rapidly deploying data centers across the world with a huge number of servers and switches. These data centers consume significant amounts of energy, contributing to high operational costs. In this chapter, we study energy savings of data centers by consolidation and switching off of those virtual machines which are not in use. According to this policy, c virtual machines continue serving the customer until the number of idle servers attains the threshold level d; then d idle servers take synchronous vacation simultaneously, otherwise these servers begin serving the customers. Numerical results are provided to demonstrate the applicability of the proposed model for the data center management in particular, to quantify theoretically the tradeoff between the conflicting aims of energy efficiency and Quality of Service (QoS) requirements specified by cloud tenants.

Related Content

Sandhya Avasthi, Tanushree Sanwal, Shivani Sharma, Shweta Roy. © 2023. 23 pages.
Subha Karumban, Shouvik Sanyal, Madan Mohan Laddunuri, Vijayan Dhanasingh Sivalinga, Vidhya Shanmugam, Vijay Bose, Mahesh B. N., Ramakrishna Narasimhaiah, Dhanabalan Thangam, Satheesh Pandian Murugan. © 2023. 17 pages.
Aditya Saxena, Devansh Chauhan, Shilpi Sharma. © 2023. 26 pages.
Eduardo José Villegas-Jaramillo, Mauricio Orozco-Alzate. © 2023. 33 pages.
Revathi A., Poonguzhali S.. © 2023. 18 pages.
Indu Malik, Anurag Singh Baghel. © 2023. 18 pages.
Shanu Sharma, Tushar Chand Kapoor, Misha Kakkar, Rishi Kumar. © 2023. 24 pages.
Body Bottom