A decision support system for green data centers

Michael Pawlish, Aparna Varde

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

Abstract

In this paper, we propose a decision support system for green computing in data centers on campuses. Green computing aims at the development of technologies for a greener and more sustainable planet. In this work we focus on the greening of data centers that house servers on campuses. It is known that servers consume a huge amount of power and incur other costs in cooling and related operations. It is challenging to meet the demands of efficiency and accuracy in data centers while yet promoting a greener environment along with cost cutting. Our work proposes a decision support system based on decision trees and case-based reasoning that mines existing data in order to assist decision-making for better management in data centers. We consider various aspects of the data from an environmental management perspective such as carbon footprint, thermal profiles and virtualization. Issues such as efficiency and accuracy are taken into account here, In this proposal paper, we outline the need for our work, the challenges involved, the proposed approach for building the system, preliminary evaluation and future plans. This work would be of interest to the data and knowledge management community as well as environmental scientists and researchers in related areas.

Original languageEnglish
Title of host publicationProceedings of the 3rd Workshop on Ph.D. Students in Information and Knowledge Management, PIKM'10, Co-located with 19th International Conference on Information and Knowledge Management, CIKM'10
Pages47-55
Number of pages9
DOIs
StatePublished - 1 Dec 2010
Event3rd Workshop on Ph.D. Students in Information and Knowledge Management, PIKM'10, Co-located with 19th International Conference on Information and Knowledge Management, CIKM'10 - Toronto, ON, Canada
Duration: 26 Oct 201030 Oct 2010

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings

Other

Other3rd Workshop on Ph.D. Students in Information and Knowledge Management, PIKM'10, Co-located with 19th International Conference on Information and Knowledge Management, CIKM'10
CountryCanada
CityToronto, ON
Period26/10/1030/10/10

Fingerprint

Data center
Decision support systems
Costs
Environmental management
Case-based reasoning
Carbon footprint
Data management
Decision tree
Cooling
Decision making
System evaluation
Knowledge management
Virtualization

Keywords

  • Case-based reasoning
  • Data centers
  • Decision support systems
  • Decision trees
  • Green information technology

Cite this

Pawlish, M., & Varde, A. (2010). A decision support system for green data centers. In Proceedings of the 3rd Workshop on Ph.D. Students in Information and Knowledge Management, PIKM'10, Co-located with 19th International Conference on Information and Knowledge Management, CIKM'10 (pp. 47-55). (International Conference on Information and Knowledge Management, Proceedings). https://doi.org/10.1145/1871902.1871912
Pawlish, Michael ; Varde, Aparna. / A decision support system for green data centers. Proceedings of the 3rd Workshop on Ph.D. Students in Information and Knowledge Management, PIKM'10, Co-located with 19th International Conference on Information and Knowledge Management, CIKM'10. 2010. pp. 47-55 (International Conference on Information and Knowledge Management, Proceedings).
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Pawlish, M & Varde, A 2010, A decision support system for green data centers. in Proceedings of the 3rd Workshop on Ph.D. Students in Information and Knowledge Management, PIKM'10, Co-located with 19th International Conference on Information and Knowledge Management, CIKM'10. International Conference on Information and Knowledge Management, Proceedings, pp. 47-55, 3rd Workshop on Ph.D. Students in Information and Knowledge Management, PIKM'10, Co-located with 19th International Conference on Information and Knowledge Management, CIKM'10, Toronto, ON, Canada, 26/10/10. https://doi.org/10.1145/1871902.1871912

A decision support system for green data centers. / Pawlish, Michael; Varde, Aparna.

Proceedings of the 3rd Workshop on Ph.D. Students in Information and Knowledge Management, PIKM'10, Co-located with 19th International Conference on Information and Knowledge Management, CIKM'10. 2010. p. 47-55 (International Conference on Information and Knowledge Management, Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Varde, Aparna

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AB - In this paper, we propose a decision support system for green computing in data centers on campuses. Green computing aims at the development of technologies for a greener and more sustainable planet. In this work we focus on the greening of data centers that house servers on campuses. It is known that servers consume a huge amount of power and incur other costs in cooling and related operations. It is challenging to meet the demands of efficiency and accuracy in data centers while yet promoting a greener environment along with cost cutting. Our work proposes a decision support system based on decision trees and case-based reasoning that mines existing data in order to assist decision-making for better management in data centers. We consider various aspects of the data from an environmental management perspective such as carbon footprint, thermal profiles and virtualization. Issues such as efficiency and accuracy are taken into account here, In this proposal paper, we outline the need for our work, the challenges involved, the proposed approach for building the system, preliminary evaluation and future plans. This work would be of interest to the data and knowledge management community as well as environmental scientists and researchers in related areas.

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Pawlish M, Varde A. A decision support system for green data centers. In Proceedings of the 3rd Workshop on Ph.D. Students in Information and Knowledge Management, PIKM'10, Co-located with 19th International Conference on Information and Knowledge Management, CIKM'10. 2010. p. 47-55. (International Conference on Information and Knowledge Management, Proceedings). https://doi.org/10.1145/1871902.1871912