Publication Type:

Conference Proceedings

Source:

e-Energy 2015 - Proceedings of the 2015 ACM 6th International Conference on Future Energy Systems, Association for Computing Machinery, Inc (ACM New York NY USA), p.313-318 (2015)

ISBN:

9781450336093

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-84961250031&doi=10.1145%2f2768510.2768520&partnerID=40&md5=32509c44e8767ccce33ec12ef5dca742

Keywords:

Artificial intelligence, Beagle Bone Black, CC2500, Clouds, decision making, Energy management, Energy management systems, Energy utilization, High energy consumption, Information management, Internet of things, Large data, Learning algorithms, Learning systems, Operating costs, Smart power grids, Wireless communications, Wireless telecommunication systems

Abstract:

The high energy consumption in data centers is becoming a major concern because it leads to increased operating costs and also, pollution, as fuel is burnt to produce the required energy. While many techniques and methods have been proposed by various organizations and researchers to minimize the energy consumption, there has been considerably less work done in making a smart-energy management system that is capable of collecting the data available and make decisions based on the energy consumption patterns. In this work, a smart system is proposed that uses Internet of Things to gather data and a machine learning algorithm for decision making. © 2015 ACM.

Cite this Research Publication

S. Sharad, Dr. Bhagavathi Sivakumar P., and Anantha Narayanan V., “A novel IoT-Based energy management system for large scale data centers”, e-Energy 2015 - Proceedings of the 2015 ACM 6th International Conference on Future Energy Systems. Association for Computing Machinery, Inc (ACM New York NY USA), pp. 313-318, 2015.

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