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» Resource Allocation in the Grid Using Reinforcement Learning
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CCGRID
2005
IEEE
14 years 1 months ago
Task scheduling strategies for workflow-based applications in grids
Grid applications require allocating a large number of heterogeneous tasks to distributed resources. A good allocation is critical for efficient execution. However, many existing ...
James Blythe, S. Jain, Ewa Deelman, Yolanda Gil, K...
WSDM
2012
ACM
214views Data Mining» more  WSDM 2012»
12 years 3 months ago
Selecting actions for resource-bounded information extraction using reinforcement learning
Given a database with missing or uncertain content, our goal is to correct and fill the database by extracting specific information from a large corpus such as the Web, and to d...
Pallika H. Kanani, Andrew K. McCallum
ACSC
2005
IEEE
14 years 1 months ago
Auction Based Resource Negotiation in NOMAD
The challenges faced by mobile and distributed applications include the ability to discover and negotiate for the resources required for execution. The NOMAD (Negotiated Object Mo...
Kris Bubendorfer, John H. Hine
ENC
2004
IEEE
13 years 11 months ago
Comparison of Scheduling Heuristics for Grid Resource Broker
In this paper, we consider parallel tasks scheduling problems for hierarchical decentralized systems that consist of homogeneous computational resources such as clusters, PCs and ...
Sergey Zhuk, Andrey Chernykh, Arutyun Avetisyan, S...
ICRA
2003
IEEE
165views Robotics» more  ICRA 2003»
14 years 23 days ago
Multi-robot task-allocation through vacancy chains
Existing task allocation algorithms generally do not consider the effects of task interaction, such as interference, but instead assume that tasks are independent. That assumptio...
Torbjørn S. Dahl, Maja J. Mataric, Gaurav S...