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dc.contributor.authorKayaaslan, Enveren_US
dc.contributor.authorCambazoglu, B. B.en_US
dc.contributor.authorBlanco, R.en_US
dc.contributor.authorJunqueira, F. P.en_US
dc.contributor.authorAykanat, Cevdeten_US
dc.coverage.spatialBeijing, China
dc.date.accessioned2016-02-08T12:18:38Z
dc.date.available2016-02-08T12:18:38Z
dc.date.issued2011-07en_US
dc.identifier.urihttp://hdl.handle.net/11693/28367
dc.descriptionDate of Conference: 24-28 July, 2011
dc.descriptionConference name: SIGIR '11 Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
dc.description.abstractConcurrently processing thousands of web queries, each with a response time under a fraction of a second, necessitates maintaining and operating massive data centers. For large-scale web search engines, this translates into high energy consumption and a huge electric bill. This work takes the challenge to reduce the electric bill of commercial web search engines operating on data centers that are geographically far apart. Based on the observation that energy prices and query workloads show high spatio-temporal variation, we propose a technique that dynamically shifts the query workload of a search engine between its data centers to reduce the electric bill. Experiments on real-life query workloads obtained from a commercial search engine show that significant financial savings can be achieved by this technique.en_US
dc.language.isoEnglishen_US
dc.source.titleSIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrievalen_US
dc.relation.isversionofhttps://doi.org/10.1145/2009916.2010047en_US
dc.subjectData centeren_US
dc.subjectEnergyen_US
dc.subjectQuery processingen_US
dc.subjectWeb search engineen_US
dc.subjectElectric billsen_US
dc.subjectEnergy pricesen_US
dc.subjectFinancial savingsen_US
dc.subjectHigh energy consumptionen_US
dc.subjectITS dataen_US
dc.subjectMassive dataen_US
dc.subjectSpatio-temporal variationen_US
dc.subjectEnergy utilizationen_US
dc.subjectInformation retrievalen_US
dc.subjectSatellite communication systemsen_US
dc.subjectSearch enginesen_US
dc.subjectUser interfacesen_US
dc.subjectWorld Wide Weben_US
dc.titleEnergy-price-driven query processing in multi-center web search enginesen_US
dc.typeConference Paperen_US
dc.departmentDepartment of Computer Engineeringen_US
dc.citation.spage983en_US
dc.citation.epage992en_US
dc.identifier.doi10.1145/2009916.2010047en_US
dc.publisherIEEE
dc.contributor.bilkentauthorAykanat, Cevdet


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