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» Optimal sampling from distributed streams
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CLOUD
2010
ACM
14 years 1 months ago
Comet: batched stream processing for data intensive distributed computing
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
GLOBECOM
2008
IEEE
14 years 3 months ago
A Theory-Driven Distribution Algorithm for Peer-to-Peer Real Time Streaming
—Many distribution algorithms have been proposed up to now for P2P real time streaming. However, due to the lack of basic theoretical results and bounds, common sense and intuiti...
Lorenzo Bracciale, Francesca Lo Piccolo, Dario Luz...
VLDB
2007
ACM
169views Database» more  VLDB 2007»
14 years 9 months ago
Staying FIT: Efficient Load Shedding Techniques for Distributed Stream Processing
In distributed stream processing environments, large numbers of continuous queries are distributed onto multiple servers. When one or more of these servers become overloaded due t...
Nesime Tatbul, Stanley B. Zdonik, Ugur Çeti...
SIGECOM
2010
ACM
219views ECommerce» more  SIGECOM 2010»
14 years 1 months ago
Revenue maximization with a single sample
We design and analyze approximately revenue-maximizing auctions in general single-parameter settings. Bidders have publicly observable attributes, and we assume that the valuation...
Peerapong Dhangwatnotai, Tim Roughgarden, Qiqi Yan
SIGMOD
2005
ACM
118views Database» more  SIGMOD 2005»
14 years 8 months ago
RPJ: Producing Fast Join Results on Streams through Rate-based Optimization
We consider the problem of "progressively" joining relations whose records are continuously retrieved from remote sources through an unstable network that may incur temp...
Yufei Tao, Man Lung Yiu, Dimitris Papadias, Marios...