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» Resource Allocation in Streaming Environments
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127
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IPPS
2003
IEEE
15 years 9 months ago
New Dynamic Heuristics in the Client-Agent-Server Model
MCT is a widely used heuristic for scheduling tasks onto grid platforms. However, when dealing with many tasks, MCT tends to dramatically delay already mapped task completion time...
Yves Caniou, Emmanuel Jeannot
140
Voted
HCI
2009
15 years 1 months ago
Modeling the Cognitive Task Load and Performance of Naval Operators
Abstract. Operators on naval ships have to act in dynamic, critical and highdemand task environments. For these environments, a cognitive task load (CTL) model has been proposed as...
Mark A. Neerincx, Stefan Kennedie, Marc Grootjen, ...
IPPS
2005
IEEE
15 years 9 months ago
GridIS: An Incentive-Based Grid Scheduling
In a grid computing environment, resources are autonomous, wide-area distributed, and what’s more, they are usually not free. These unique characteristics make scheduling in a s...
Lijuan Xiao, Yanmin Zhu, Lionel M. Ni, Zhiwei Xu
136
Voted
ATAL
2004
Springer
15 years 9 months ago
A Multi-Agent Systems Approach to Autonomic Computing
The goal of autonomic computing is to create computing systems capable of managing themselves to a far greater extent than they do today. This paper presents Unity, a decentralize...
Gerald Tesauro, David M. Chess, William E. Walsh, ...
121
Voted
FGCS
2006
121views more  FGCS 2006»
15 years 3 months ago
Real-time multi-scale brain data acquisition, assembly, and analysis using an end-to-end OptIPuter
At iGrid 2005 we demonstrated the transparent operation of a biology experiment on a test-bed of globally distributed visualization, storage, computational, and network resources....
Rajvikram Singh, Nicholas Schwarz, Nut Taesombut, ...