PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Freire A., Macdonald C., Tonellotto N., Ounis I., Cacheda F. Towards green information retrieval: studying the suitability of queueing theory in reducing power consumption. In: 3rd Spanish Conference on Information Retrieval (Universidade da Coruņa, Spain, 19-20 June 2014). Proceedings, Universidade da Coruņa, 2014.
 
 
Abstract
(English)
Many efforts are being dedicated to reduce the power consumed by large data centres. However, less research has focused on developing environmentally-friendly search engines. This paper contributes to Green Information Retrieval by defining a mathematical model to automatically vary the number of powered-on servers of a replicated search engine, based on the load of the system. Following general-purpose data centres, we base our approach in Queueing Theory, in order to study its behaviour when being applied into a search engine. Results show how our model can achieve energy savings by maintaining excellent values for the latency, and it also allows us to study the shortcomings of Queueing Theory into Information Retrieval.
URL: http://ceri2014.udc.es/
Subject Queueing Theory
Information Retrieval
Energy
H.3 INFORMATION STORAGE AND RETRIEVAL
G.3 PROBABILITY AND STATISTICS. Queueing theory


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