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» Grid Differentiated Services: A Reinforcement Learning Appro...
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DSRT
2006
IEEE
13 years 11 months ago
Grid-enabling FIRST: Speeding Up Simulation Applications Using WinGrid
The vision of grid computing is to make computational power, storage capacity, data and applications available to users as readily as electricity and other utilities. Grid infrast...
Navonil Mustafee, Anders Alstad, Bjorn Larsen, Sim...
IPPS
2007
IEEE
13 years 11 months ago
Prediction Services for Distributed Computing
Users of distributed systems such as the TeraGrid and Open Science Grid can execute their applications on many different systems. We wish to help such users, or the grid scheduler...
Warren Smith
CCGRID
2009
IEEE
14 years 3 days ago
Multi-scale Real-Time Grid Monitoring with Job Stream Mining
—The ever increasing scale and complexity of large computational systems ask for sophisticated management tools, paving the way toward Autonomic Computing. A first step toward A...
Xiangliang Zhang, Michèle Sebag, Céc...
LEGE
2003
107views Education» more  LEGE 2003»
13 years 6 months ago
Design Considerations for an ELeGI Portal
ELeGI, the European Learning Grid Infrastructure, has the ambitious goal of fostering effective learning and knowledge construction through the dynamic provision of service-based ...
Colin Allison, Rosa Michaelson
EUROCAST
2007
Springer
132views Hardware» more  EUROCAST 2007»
13 years 9 months ago
Using Omnidirectional BTS and Different Evolutionary Approaches to Solve the RND Problem
RND (Radio Network Design) is an important problem in mobile telecommunications (for example in mobile/cellular telephony), being also relevant in the rising area of sensor network...
Miguel A. Vega-Rodríguez, Juan Antonio G&oa...