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» Massively parallel computing using commodity components
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IPPS
2007
IEEE
14 years 3 months ago
Packet Loss Burstiness: Measurements and Implications for Distributed Applications
Many modern massively distributed systems deploy thousands of nodes to cooperate on a computation task. Network congestions occur in these systems. Most applications rely on conge...
David X. Wei, Pei Cao, Steven H. Low
ANOR
2010
130views more  ANOR 2010»
13 years 6 months ago
Greedy scheduling with custom-made objectives
We present a methodology to automatically generate an online job scheduling method for a custom-made objective and real workloads. The scheduling problem comprises independent para...
Carsten Franke, Joachim Lepping, Uwe Schwiegelshoh...
ICDCS
2002
IEEE
14 years 1 months ago
Balancing Performance, Energy, and Quality in Pervasive Computing
We describe Spectra, a remote execution system for batterypowered clients used in pervasive computing. Spectra enables applications to combine the mobility of small devices with t...
Jason Flinn, SoYoung Park, Mahadev Satyanarayanan
IPPS
1999
IEEE
14 years 1 months ago
The Computational Co-op: Gathering Clusters into a Metacomputer
We explore the creation of a metacomputer by the aggregation of independent sites. Joining a metacomputer is voluntary, and hence it has to be an endeavor that mutually benefits a...
Walfredo Cirne, Keith Marzullo
ICS
1989
Tsinghua U.
14 years 29 days ago
Convergence rate and termination of asynchronous iterative algorithms
We consider iterative algorithms of the form z := f(z), executed by a parallel or distributed computing system. We focus on asynchronous implementations whereby each processor ite...
Dimitri P. Bertsekas, John N. Tsitsiklis