Using Dataflow Information to Improve Inter-Workflow Instance Concurrency

	This Article
	Subscribers, please Login Purchase article: $19 PDF IEEE Xplore Subscribers RSS feed
	Share
	Email this Article to a friend
	Bibliographic References
	ASCII Text BibTex RefWorks Procite/RefMan/Endnote
	Add to:
	Digg Furl Spurl Blink Simpy Google Del.icio.us Y!MyWeb
	Search
	Similar Articles Articles by Yang Wang Articles by Paul Lu

Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05)

Dalian, China

December 05-December 08

ISBN: 0-7695-2405-2

	ASCII Text	x
	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	x
	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

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PDCAT.2005.246

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

Peer Review Notice | Give Us Feedback

Usage of this product signifies your acceptance of the Terms of Use.