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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...
MSS
2003
IEEE
151views Hardware» more  MSS 2003»
14 years 1 months ago
Accurate Modeling of Cache Replacement Policies in a Data Grid
Caching techniques have been used to improve the performance gap of storage hierarchies in computing systems. In data intensive applications that access large data files over wid...
Ekow J. Otoo, Arie Shoshani
VLDB
2005
ACM
140views Database» more  VLDB 2005»
14 years 2 months ago
Loadstar: Load Shedding in Data Stream Mining
In this demo, we show that intelligent load shedding is essential in achieving optimum results in mining data streams under various resource constraints. The Loadstar system intro...
Yun Chi, Haixun Wang, Philip S. Yu
INFOCOM
2007
IEEE
14 years 2 months ago
Achievable Capacity Under the Interference Temperature Model
— The Interference Temperature Model was proposed by the FCC in 2003 as a way to dynamically manage and allocate spectrum resources. It would allow unlicensed radios to sense the...
Thomas C. Clancy
IEEEPACT
2006
IEEE
14 years 2 months ago
Compiling for stream processing
This paper describes a compiler for stream programs that efficiently schedules computational kernels and stream memory operations, and allocates on-chip storage. Our compiler uses...
Abhishek Das, William J. Dally, Peter R. Mattson