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116
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CLOUD
2010
ACM
15 years 5 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...
ICFP
2005
ACM
16 years 21 days ago
Acute: high-level programming language design for distributed computation
Existing languages provide good support for typeful programming of standalone programs. In a distributed system, however, there may be interaction between multiple instances of ma...
Peter Sewell, James J. Leifer, Keith Wansbrough, F...
117
Voted
SODA
2008
ACM
126views Algorithms» more  SODA 2008»
15 years 2 months ago
On distributing symmetric streaming computations
A common approach for dealing with large data sets is to stream over the input in one pass, and perform computations using sublinear resources. For truly massive data sets, howeve...
Jon Feldman, S. Muthukrishnan, Anastasios Sidiropo...
97
Voted
HPCA
2005
IEEE
16 years 1 months ago
Multithreaded Value Prediction
This paper introduces a novel technique which leverages value prediction and multithreading on a simultaneous multithreading processor to achieve higher performance in a single th...
Nathan Tuck, Dean M. Tullsen
127
Voted
ICPP
2005
IEEE
15 years 6 months ago
Service Migration in Distributed Virtual Machines for Adaptive Grid Computing
Computational grids can integrate geographically distributed resources into a seamless environment. To facilitate managing these heterogenous resources, the virtual machine gy pro...
Song Fu, Cheng-Zhong Xu