Energy-price-driven query processing in multi-center web search engines
Cambazoglu, B. B.
Junqueira, F. P.
SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval
983 - 992
Item Usage Stats
MetadataShow full item record
Concurrently 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.
Web search engine
High energy consumption
Satellite communication systems
World Wide Web
Permalink (Please cite this version)http://hdl.handle.net/11693/28367
Showing items related by title, author, creator and subject.
Akgun, B.; Aykin I. (IEEE Computer Society, 2013)The clustering algorithms designed for traditional sensor networks have been adapted for energy harvesting sensor networks (EHWSN). However, in these algorithms, the intra-cluster MAC protocols to be used were either not ...
Akar, N. (IEEE, 2013)IEEE 802.3az, also known as Energy Efficient Ethernet (EEE), aims at reducing the energy consumption of an Ethernet link by placing it in sleep mode when the link is idle. Frame coalescing mechanism proposed for EEE is an ...