| Document Date: 2011-10-20 16:12:12
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City Glasgow / / Company Sony / Intel / / Country Nepal / United Kingdom / Scotland / / Currency USD / / / IndustryTerm real-world applications / average processing time ranging / state-of-art algorithm / query processing / web-site / basic proposed algorithm / shared processing / memory efficient processing / average processing time / stream processing algorithms / query solution / state-of-theart single continuous top-k query processing method / real-time applications / streaming applications / topk query processing / runtime infrastructure / aggregation algorithms / online computation module / clicked products / web-based advertising / stream processing system / basic algorithm / namely average processing time / overall processing costs / / MarketIndex TA / / OperatingSystem Windows Vista / / Organization National Science Foundation / Centrino Duo / / Person J.R. Smith / C.S. Li / L.D. Bergman / V / V. Castelli / M.L. Lo / Meta Query / Elke A. Rundensteiner / Matthew O. Ward / / Position web-site manager / single analyst / model in data streams / analyst / Result Extractor / General / / Product MTopBand / / ProgrammingLanguage C++ / / Technology TMA algorithm / MQE algorithms / alternative algorithms / specific algorithm / three algorithms / basic proposed algorithm / proposed algorithm / Centrino Duo 2.6GHz processor / MinTopK algorithm / aggregation algorithms / Sliding Windows / TA algorithm / state-of-art algorithm / SMA algorithm / MQA algorithms / two proposed algorithms / proposed algorithms / stream processing algorithms / random access / second algorithm / NRA algorithm / MTopBand algorithm / three compared algorithms / two algorithms / basic algorithm / / URL http /
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MTopS: Scalable Processing of Continuous Top-K Multi-Query Workloads Avani Shastri, Di Yang, Elke A. Rundensteiner and Matthew O. Ward Dept. of Computer Science, WPI Worcester, MA, USA