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Energy Efficiency in Web Search Engines

Name: Energy Efficiency in Web Search Engines
Creator: Catena M
Keywords: Energy efficiency, 11. Sustainability, Web search engines, 7. Clean energy, 12. Responsible consumption

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Sep 2015 Italy Publisher:BCS Learning & DevelopmentJournal:Electronic Workshops in Computing (issn: 1477-9358,

Authors: Catena M;

doi: 10.14236/ewic/fdia2015.1

handle: 20.500.14243/334458

Energy Efficiency in Web Search Engines

- Summary
- Subjects
- Metrics

Abstract

Today, Web search is a frequent action in the everyday life of many people. To perform it on a large scale, Web companies need energy-hungry data center, which raise environmental and economical challenges. For these reasons, Green Information Retrieval promotes energy and energy-cost awareness in contemporary Web search engines. In this document, we propose to further the research on Green Information Retrieval, which is still at its early stage. Moreover, we illustrate our first results in evaluating and improving the energy efficiency of search servers.

Country

Italy

Related Organizations

National Research Council
Italy
Institute of Information Science and Technologies "A. Faedo"
Italy
National Academies of Sciences, Engineering, and Medicine
United States

Keywords

Energy efficiency, Web search engines

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	2
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	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