Contributo in atti di convegno, 2017, ENG
Catena M.; Tonellotto N.
CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy
Web search companies distribute their infrastructures and operations across several, geographically distant data centers. This distributed architecture facilitates high performance query processing, which is fundamental for the success of a Web search engine. At the same time, data centers require an huge amount of electricity to operate their computing resources. In this extended abstract, we briefly discuss our recent works for improving the energy effciency of query processing systems. Firstly, we introduce a novel query forwarding algorithm which exploits green energy sources to reduce the electricity expenditure and carbon footprint of Web search engines. Then, we propose to delegate the CPU power management from a server' operative system directly to the query processing application, to reduce the energy consumption of a search engine's servers. Finally, we introduce PESOS, a scheduling algorithm which manages the CPU power consumption on a per-query basis while considering query latency constraints.
IIR 2017 - 8th Italian Information Retrieval Workshop, pp. 125–128, Lugano, Switzerland, 05-07 June, 2017
Information retrieval, Energy efficiency
Catena Matteo, Tonellotto Nicola
ISTI – Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"
ID: 385573
Year: 2017
Type: Contributo in atti di convegno
Creation: 2018-03-22 16:29:24.000
Last update: 2019-01-29 11:05:33.000
CNR authors
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:385573
Scopus: 2-s2.0-85029234752