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» Lower Bounds in Distributed Computing
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PDCAT
2005
Springer
15 years 8 months ago
A New Algorithm to Solve Synchronous Consensus for Dependent Failures
Fault tolerant algorithms are often designed under the t-out-of-n assumption, which is based on the assumption that all processes or components fail independently with equal proba...
Jun Wang, Min Song
JACM
2002
107views more  JACM 2002»
15 years 2 months ago
Paradoxes in distributed decisions on optimal load balancing for networks of homogeneous computers
In completely symmetric systems that have homogeneous nodes (hosts, computers, or processors) with identical arrival processes, an optimal static load balancing scheme does not in...
Hisao Kameda, Odile Pourtallier
ACTA
2005
104views more  ACTA 2005»
15 years 3 months ago
Optimal recovery schemes in fault tolerant distributed computing
Clusters and distributed systems offer fault tolerance and high performance through load sharing. When all n computers are up and running, we would like the load to be evenly distr...
Kamilla Klonowska, Håkan Lennerstad, Lars Lu...
HPDC
2002
IEEE
15 years 8 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
COR
2006
72views more  COR 2006»
15 years 3 months ago
Numerical studies on a paradox for non-cooperative static load balancing in distributed computer systems
Numerical examples of a Braess-like paradox in which adding capacity to a distributed computer system may degrade the performance of all users in the system have been reported. Un...
Said Fathy El-Zoghdy, Hisao Kameda, Jie Li