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ICCS
2005
Springer
15 years 9 months ago
Self-optimization of Large Scale Wildfire Simulations
The development of efficient parallel algorithms for large scale wildfire simulations is a challenging research problem because the factors that determine wildfire behavior are com...
Jingmei Yang, Huoping Chen, Salim Hariri, Manish P...
CLOUDCOM
2010
Springer
15 years 2 months ago
Using Global Behavior Modeling to Improve QoS in Cloud Data Storage Services
Abstract--The cloud computing model aims to make largescale data-intensive computing affordable even for users with limited financial resources, that cannot invest into expensive i...
Jesús Montes, Bogdan Nicolae, Gabriel Anton...
CCGRID
2010
IEEE
15 years 1 months ago
Dynamic Load-Balanced Multicast for Data-Intensive Applications on Clouds
Data-intensive parallel applications on clouds need to deploy large data sets from the cloud's storage facility to all compute nodes as fast as possible. Many multicast algori...
Tatsuhiro Chiba, Mathijs den Burger, Thilo Kielman...
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
15 years 10 months ago
An analysis of the effects of population structure on scalable multiobjective optimization problems
Multiobjective evolutionary algorithms (MOEA) are an effective tool for solving search and optimization problems containing several incommensurable and possibly conflicting objec...
Michael Kirley, Robert L. Stewart
ESA
2004
Springer
105views Algorithms» more  ESA 2004»
15 years 9 months ago
Time Dependent Multi Scheduling of Multicast
Many network applications that need to distribute content and data to a large number of clients use a hybrid scheme in which one (or more) multicast channel is used in parallel to...
Rami Cohen, Dror Rawitz, Danny Raz