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ATAL
2004
Springer
14 years 1 months ago
Resource Allocation in the Grid Using Reinforcement Learning
One of the main challenges in Grid computing is efficient allocation of resources (CPU-hours, network bandwidth, etc.) to the tasks submitted by users. Due to the lack of centrali...
Aram Galstyan, Karl Czajkowski, Kristina Lerman
GI
1997
Springer
13 years 11 months ago
Persistent Object Systems: From Technology to Market
Abstract. This text describes how persistent object system technology developed in European basic research is being used by a small German startup software company to realize innov...
Andreas Gawecki, Florian Matthes, Joachim W. Schmi...
NEUROSCIENCE
2001
Springer
14 years 11 days ago
Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
Doina Caragea, Adrian Silvescu, Vasant Honavar
DOLAP
2009
ACM
13 years 11 months ago
Defining ETL worfklows using BPMN and BPEL
Decisional systems are crucial for enterprise improvement. They allow the consolidation of heterogeneous data from distributed enterprise data stores into strategic indicators. An...
Zineb El Akkaoui, Esteban Zimányi
INFOCOM
2010
IEEE
13 years 6 months ago
Distributed Resource Allocation for Synchronous Fork and Join Processing Networks
—Many emerging information processing applications require applying various fork and join type operations such as correlation, aggregation, and encoding/decoding to data streams ...
Haiquan (Chuck) Zhao, Cathy H. Xia, Zhen Liu, Dona...