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ICDE
2005
IEEE
144views Database» more  ICDE 2005»
16 years 5 months ago
Dynamic Load Distribution in the Borealis Stream Processor
Distributed and parallel computing environments are becoming cheap and commonplace. The availability of large numbers of CPU's makes it possible to process more data at highe...
Ying Xing, Stanley B. Zdonik, Jeong-Hyon Hwang
IJCAI
2003
15 years 5 months ago
Statistics Gathering for Learning from Distributed, Heterogeneous and Autonomous Data Sources
With the growing use of distributed information networks, there is an increasing need for algorithmic and system solutions for data-driven knowledge acquisition using distributed,...
Doina Caragea, Jaime Reinoso, Adrian Silvescu, Vas...
ATAL
2007
Springer
15 years 10 months ago
A framework for agent-based distributed machine learning and data mining
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
Jan Tozicka, Michael Rovatsos, Michal Pechoucek
CDC
2008
IEEE
129views Control Systems» more  CDC 2008»
15 years 11 months ago
Distributed subgradient methods and quantization effects
Abstract— We consider a convex unconstrained optimization problem that arises in a network of agents whose goal is to cooperatively optimize the sum of the individual agent objec...
Angelia Nedic, Alexander Olshevsky, Asuman E. Ozda...
MSS
2003
IEEE
90views Hardware» more  MSS 2003»
15 years 9 months ago
NSM: A Distributed Storage Architecture for Data-Intensive Applications
: Several solutions have been developed to provide dataintensive applications with the highest possible data rates. Such solutions tried to utilize the available network resources ...
Zeyad Ali, Qutaibah M. Malluhi