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HPDC
2002
IEEE
14 years 19 days ago
Decoupling Computation and Data Scheduling in Distributed Data-Intensive Applications
In high energy physics, bioinformatics, and other disciplines, we encounter applications involving numerous, loosely coupled jobs that both access and generate large data sets. So...
Kavitha Ranganathan, Ian T. Foster
CDC
2008
IEEE
112views Control Systems» more  CDC 2008»
14 years 2 months ago
Application of the proximal center decomposition method to distributed model predictive control
Abstract— In this paper we present a dual-based decomposition method, called here the proximal center method, to solve distributed model predictive control (MPC) problems for cou...
Ion Necoara, Dang Doan, Johan A. K. Suykens
CVPR
2010
IEEE
13 years 7 months ago
Total Bregman divergence and its applications to shape retrieval
Shape database search is ubiquitous in the world of biometric systems, CAD systems etc. Shape data in these domains is experiencing an explosive growth and usually requires search...
Meizhu Liu, Baba C. Vemuri, Shun-ichi Amari, Frank...
IPPS
2000
IEEE
14 years 1 days ago
A Decision-Process Analysis of Implicit Coscheduling
ThispaperpresentsatheoreticalframeworkbasedonBayesian decision theory for analyzing recently reported results on implicit coscheduling of parallel applications on clusters of work...
Radha Poovendran, Peter J. Keleher, John S. Baras
NCA
2005
IEEE
14 years 1 months ago
An Adaptive Reputation-based Trust Framework for Peer-to-Peer Applications
In distributed P2P environments, peers (i.e., users) often have to request the services from some unfamiliar peers (i.e., resources) that could be altruistic, selfish, or even ma...
William Sears, Zhen Yu, Yong Guan