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CORR
2007
Springer
95views Education» more  CORR 2007»
13 years 4 months ago
Scheduling in Data Intensive and Network Aware (DIANA) Grid Environments
In Grids scheduling decisions are often made on the basis of jobs being either data or computation intensive: in data intensive situations jobs may be pushed to the data and in co...
Richard McClatchey, Ashiq Anjum, Heinz Stockinger,...
HPDC
2002
IEEE
13 years 9 months ago
Decoupling Computation and Data Scheduling in Distributed Data-Intensive Applications
In high energy physics, bioinformatics, and other disciplines, we encounter applications involving numerous, loosely coupled jobs that both access and generate large data sets. So...
Kavitha Ranganathan, Ian T. Foster
SAINT
2007
IEEE
13 years 11 months ago
Data Management on Grid Filesystem for Data-Intensive Computing
In parallel computing environments such as HPC clusters and the Grid, data-intensive applications involve large overhead costs due to a concentration of access to the files on co...
Hitoshi Sato, Satoshi Matsuoka
IWNAS
2008
IEEE
13 years 11 months ago
Storage Aware Resource Allocation for Grid Data Streaming Pipelines
Data streaming applications, usually composed with sequential/parallel tasks in a data pipeline form, bring new challenges to task scheduling and resource allocation in grid envir...
Wen Zhang, Junwei Cao, Yisheng Zhong, Lianchen Liu...
DPD
2006
114views more  DPD 2006»
13 years 4 months ago
A novel approach to resource scheduling for parallel query processing on computational grids
Advances in network technologies and the emergence of Grid computing have both increased the need and provided the infrastructure for computation and data intensive applications to...
Anastasios Gounaris, Rizos Sakellariou, Norman W. ...