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HPDC
2002
IEEE
14 years 2 months 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
IJSNET
2007
155views more  IJSNET 2007»
13 years 9 months ago
Distributed Bayesian fault diagnosis of jump Markov systems in wireless sensor networks
: A Bayesian distributed online change detection algorithm is proposed for monitoring a dynamical system by a wireless sensor network. The proposed solution relies on modelling the...
Hichem Snoussi, Cédric Richard
CDC
2009
IEEE
159views Control Systems» more  CDC 2009»
14 years 2 months ago
A distributed machine learning framework
Abstract— A distributed online learning framework for support vector machines (SVMs) is presented and analyzed. First, the generic binary classification problem is decomposed in...
Tansu Alpcan, Christian Bauckhage
FLAIRS
2008
14 years 7 days ago
Recovering from Inconsistency in Distributed Simple Temporal Networks
Simple Temporal Networks (STNs) are frequently used in scheduling applications, as they provide a powerful and general tool for managing temporal constraints. One obstacle to thei...
Anthony Gallagher, Stephen F. Smith
USENIX
1994
13 years 11 months ago
Concert/C: A Language for Distributed Programming
Concert/C is a new language for distributed C programming that extends ANSI C to support distribution and process dynamics. Concert/C provides the ability to create and terminate ...
Joshua S. Auerbach, Arthur P. Goldberg, Germ&aacut...