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Toward Sustainability for Large-Scale Computing Systems: Environmental, Economic, and Standardization Aspects

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Other literature type 10 Apr 2015 France Publisher:John Wiley & Sons, Inc

Authors: Herzog, Christina; Pierson, Jean-Marc; Lefèvre, Laurent;

doi: 10.1002/9781118981122.ch10

Toward Sustainability for Large-Scale Computing Systems: Environmental, Economic, and Standardization Aspects

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Abstract

This chapter presents the landscape of green information technology (IT), focusing on large‐scale distributed systems. First, it gives a definition of Green IT and its difference and links with sustainability. Then, the chapter outlines the differences in points of view for considering Green IT between academic and industry players. It describes the role of several actors: technology transfer office (TTOs), standardization bodies, industries, and researchers. The authors believe that three main reasons drive the interests for Green IT and its development: ecology, economy, and society. The chapter describes the different standardization bodies and some contextualized actions in the scope of large‐scale distributed systems, focusing mainly on the data center side. Finally, a modeling of the actors is proposed and its usage for helping decision makers is sketched.

Country

France

Related Organizations

University of Toulouse II - Le Mirail
France
French Institute for Research in Computer Science and Automation
France
University of Toulouse
France
Laboratoire de l'Informatique du Parallélisme
France
Paul Sabatier University
France

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Keywords

Energy efficiency, 330, [INFO]Computer Science [cs], Transfer technology, [INFO] Computer Science [cs], Standardization

Impact byBIP!

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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average