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ATAL
2004
Springer
16 years 25 days 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
CCGRID
2003
IEEE
16 years 22 days ago
Evaluation of the inter-cluster data transfer on Grid environment
High-performance peer-to-peer transfer between clusters will be fundamental technology base for various Grid middleware, such as large-scale data transfer in DataGrid settings, or...
Shoji Ogura, Satoshi Matsuoka, Hidemoto Nakada
HPDC
2002
IEEE
16 years 11 days ago
Predicting Sporadic Grid Data Transfers
The increasingly common practice of replicating datasets and using resources as distributed data stores in Grid environments has led to the problem of determining which replica ca...
Sudharshan Vazhkudai, Jennifer M. Schopf
GPC
2009
Springer
16 years 1 days ago
Achieving Co-allocation through Virtualization in Grid Environment
A typical grid application requires several processors for execution that may not be fulfilled by single cluster at times. Co-allocation is the concept of aggregating computing res...
Thamarai Selvi Somasundaram, Balachandar R. Amarna...
HPCC
2009
Springer
16 years 1 days ago
Grid Network Dimensioning by Modeling the Deadline Constrained Bulk Data Transfers
—Grid applications need to move large amounts of data between distributed resources within deterministic time frames. In most cases it is possible to specify the volume and the d...
Kashif Munir, Pascale Vicat-Blanc Primet, Michael ...