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Using Dataflow Information to Improve Inter-Workflow Instance Concurrency
Dalian, China December 05-December 08
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PDCAT.2005.246Sixth International Conference on Par ...
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Yang Wang, Paul Lu, "Using Dataflow Information to Improve Inter-Workflow Instance Concurrency," Parallel and Distributed Computing Applications and Technologies, International Conference on, pp. 1078-1082, Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05), 2005.
 
 
BibTex
x
 
@article{ 10.1109/PDCAT.2005.246,
author = {Yang Wang and Paul Lu},
title = {Using Dataflow Information to Improve Inter-Workflow Instance Concurrency},
journal ={Parallel and Distributed Computing Applications and Technologies, International Conference on},
volume = {0},
year = {2005},
isbn = {0-7695-2405-2},
pages = {1078-1082},
doi = {http://doi.ieeecomputersociety.org/10.1109/PDCAT.2005.246},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Parallel and Distributed Computing Applications and Technologies, International Conference on
TI - Using Dataflow Information to Improve Inter-Workflow Instance Concurrency
SN - 0-7695-2405-2
SP1078
EP1082
A1 - Yang Wang,
A1 - Paul Lu,
PY - 2005
KW - null
VL - 0
JA - Parallel and Distributed Computing Applications and Technologies, International Conference on
ER -
 
Yang Wang, University of Alberta, Canada
Paul Lu, University of Alberta, Canada
The control-flow-based design of traditional batch scheduling systems (i.e., Job A must finish before Job B is started) can constrain the concurrency in schedulers for high-performance computing (HPC) workloads. There are two main problems. First, the control-flow graph, representing the workflow, may be inherently limited in its degree of concurrency. Second, if the naming strategy of the input and output files of jobs is simplistic, there may be a filename conflict problem when multiple instances of the same workflow run concurrently.
Citation:
Yang Wang, Paul Lu, "Using Dataflow Information to Improve Inter-Workflow Instance Concurrency," pdcat, pp.1078-1082, Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05), 2005
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