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NCA
2008
IEEE
14 years 2 months ago
Identifying Failures in Grids through Monitoring and Ranking
In this paper we present FailRank, a novel framework for integrating and ranking information sources that characterize failures in a grid system. After the failing sites have been...
Demetrios Zeinalipour-Yazti, Kyriakos Neocleous, C...
INFORMATICALT
2007
97views more  INFORMATICALT 2007»
13 years 7 months ago
Fabric Level and Application Level QoS Guarantees in Grid Computing
In the paper, a cross-layer optimization between application layer and fabric layer is proposed. The aim is to optimize the end-to-end quality of the dynamic grid application as we...
Li Chunlin, Li Layuan
HPDC
2010
IEEE
13 years 8 months ago
A data transfer framework for large-scale science experiments
Modern scientific experiments can generate hundreds of gigabytes to terabytes or even petabytes of data that may furthermore be maintained in large numbers of relatively small fil...
Wantao Liu, Brian Tieman, Rajkumar Kettimuthu, Ian...
ICAC
2008
IEEE
14 years 2 months ago
Utility-Based Reinforcement Learning for Reactive Grids
—Large scale production grids are an important case for autonomic computing. They follow a mutualization paradigm: decision-making (human or automatic) is distributed and largely...
Julien Perez, Cécile Germain-Renaud, Bal&aa...
GCC
2005
Springer
14 years 1 months ago
Experiences in Running Workloads over Grid3
Running workloads in a grid environment is often a challenging problem due the scale of the environment, and to the resource partitioning based on various sharing strategies. A res...
Catalin Dumitrescu, Ioan Raicu, Ian T. Foster