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» Decoupling Computation and Data Scheduling in Distributed Da...
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106
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GCC
2005
Springer
15 years 3 months ago
A Semantic Metadata Catalog Service for Grid
Metadata is the information that describes the most important feature of an object. In recent years, metadata plays a more and more important role in data intensive applications. I...
Kewei Wei, Ming Zhang, Yaping Zhu
77
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RTSS
2007
IEEE
15 years 3 months ago
Distributed Minimal Time Convergecast Scheduling for Small or Sparse Data Sources
— Many applications of sensor networks require the base station to collect all the data generated by sensor nodes. As a consequence many-to-one communication pattern, referred to...
Ying Zhang, Shashidhar Gandham, Qingfeng Huang
PDP
2003
IEEE
15 years 2 months ago
Scheduling strategies for mixed data and task parallelism on heterogeneous clusters and grids
We consider the execution of a complex application on a heterogeneous "grid" computing platform. The complex application consists of a suite of identical, independent pr...
Olivier Beaumont, Arnaud Legrand, Yves Robert
CCGRID
2009
IEEE
14 years 7 months ago
Block-Based Concurrent and Storage-Aware Data Streaming for Grid Applications with Lots of Small Files
Data streaming management and scheduling is required by many grid computing applications, especially when the volume of data to be processed is extremely high while available stor...
Wen Zhang, Junwei Cao, Yisheng Zhong, Lianchen Liu...
78
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EUROSYS
2007
ACM
15 years 6 months ago
Dryad: distributed data-parallel programs from sequential building blocks
Dryad is a general-purpose distributed execution engine for coarse-grain data-parallel applications. A Dryad application combines computational “vertices” with communication ...
Michael Isard, Mihai Budiu, Yuan Yu, Andrew Birrel...