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2Karma2: Provenance Management for Data-Driven Workflows
Y. Simmhan, B. Plale, and D. Gannon. International Journal of Web Services Research (IJWSR), 5 (2): 1--22 (2008)IF 0.371, CORE C.
10 years ago by @simmhan
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escience,
karma,
msr,
peer
provenance,
reviewed
workflow,
escience,karma,msr,peerprovenance,reviewedworkflow,
(0)
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2Provenance for Scientific Workflows: Towards Reproducible Research
R. Barga, Y. Simmhan, E. Withana, S. Sahoo, J. Jackson, and N. Araujo. Data Engineering Bulletin (DEB), 33 (3): 50--59 (September 2010)
10 years ago by @simmhan
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msr,
peer
provenance,
reviewed
trident,
workflow,
msr,peerprovenance,reviewedtrident,workflow,
(0)
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2Analysis of approaches for supporting the Open Provenance Model: A case study of the Trident workflow workbench
Y. Simmhan, and R. Barga. Future Generation Computer Systems (FGCS), 27 (6): 790--796 (2011)IF 1.978, CORE A.
10 years ago by @simmhan
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challenge,
inter-operability,
msr,
opm,
peer
provenance
provenance,
reviewed
trident,
workflow,
challenge,inter-operability,msr,opm,peerprovenanceprovenance,reviewedtrident,workflow,
(0)
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3The Open Provenance Model core specification (v1.1)
L. Moreau, B. Clifford, J. Freire, J. Futrelle, Y. Gil, P. Groth, N. Kwasnikowska, S. Miles, P. Missier, J. Myers and 4 other author(s). Future Generation Computer Systems (FGCS), 27 (6): 743--756 (2011)IF 1.978, CORE A.
10 years ago by @simmhan
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inter-operability,
msr,
opm,
peer
provenance,
representation,
reviewed
inter-operability,msr,opm,peerprovenance,representation,reviewed
(0)
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3On Building Scientific Workflow Systems for Data Management in the Cloud
Y. Simmhan, R. Barga, C. van Ingen, E. Lazowska, and A. Szalay. International Conference on eScience (eScience), page 434-435. IEEE, (December 2008)Poster CORE A.
10 years ago by @simmhan
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cloud,
data
escience,
hpc,
management,
msr,
panstarrs,
peer
poster,
reviewed
trident,
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cloud,dataescience,hpc,management,msr,panstarrs,peerposter,reviewedtrident,workflows,
(0)
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3Efficient scheduling of scientific workflows in a high performance computing cluster
R. Barga, D. Fay, D. Guo, S. Newhouse, Y. Simmhan, and A. Szalay. International Workshop on Challenges of Large Applications in Distributed Environments (CLADE), page 63-68. ACM, (2008)CORE C.
10 years ago by @simmhan
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data
eScience,
hpc,
intensive,
msr,
peer
reviewed
scheduling,
workflow,
dataeScience,hpc,intensive,msr,peerreviewedscheduling,workflow,
(0)
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3The Trident Scientific Workflow Workbench
R. Barga, J. Jackson, N. Araujo, D. Guo, N. Gautam, and Y. Simmhan. International Conference on eScience (eScience), page 317-318. IEEE, (2008)Demo CORE A.
10 years ago by @simmhan
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demo,
escience,
msr,
neptune,
panstarrs,
peer
reviewed
trident,
workflows,
demo,escience,msr,neptune,panstarrs,peerreviewedtrident,workflows,
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3Building Reliable Data Pipelines for Managing Community Data Using Scientific Workflows
Y. Simmhan, C. van Ingen, A. Szalay, R. Barga, and J. Heasley. International Conference on eScience (eScience), page 321-328. IEEE, (December 2009)CORE A.
10 years ago by @simmhan
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cloud,
data
escience,
management,
msr,
panstarrs,
peer
reviewed
workflows,
cloud,dataescience,management,msr,panstarrs,peerreviewedworkflows,
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3GrayWulf: Scalable Software Architecture for Data Intensive Computing
Y. Simmhan, R. Barga, C. van Ingen, M. Nieto-Santisteban, L. Dobos, N. Li, M. Shipway, A. Szalay, S. Werner, and J. Heasley. Hawaii International Conference on System Sciences (HICSS), page 1-10. IEEE, (2009)CORE A.
10 years ago by @simmhan
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cloud,
data
escience,
graywulf,
hpc,
management,
msr,
panstarrs,
peer
reviewed
trident,
workflows,
cloud,dataescience,graywulf,hpc,management,msr,panstarrs,peerreviewedtrident,workflows,
(0)
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2Building the Trident Scientific Workflow Workbench for Data Management in the Cloud
Y. Simmhan, R. Barga, C. van Ingen, E. Lazowska, and A. Szalay. Conference on Advanced Engineering Computing and Applications in Sciences (ADVCOMP), page 41-50. IEEE, (October 2009)
10 years ago by @simmhan
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cloud,
data
escience,
hpc,
management,
msr,
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peer
reviewed
trident,
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cloud,dataescience,hpc,management,msr,panstarrs,peerreviewedtrident,workflows,
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4Provenance Information Model of Karma Version 3
B. Cao, B. Plale, G. Subramanian, E. Robertson, and Y. Simmhan. International Workshop on Scientific Workflows (SWF), page 348-351. IEEE, (July 2009)
10 years ago by @simmhan
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karma,
msr,
peer
provenance,
reviewed
workflow,
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3Semantically Annotated Provenance in the Life Science Grid
B. Cao, B. Plale, G. Subramanian, P. Missier, C. Goble, and Y. Simmhan. International Workshop on the role of Semantic Web in Provenance Management (SWPM), volume 526 of CEUR Workshop Proceedings, CEUR-WS.org, (October 2009)
10 years ago by @simmhan
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escience,
karma,
life
lsg,
msr,
peer
provenance,
reviewed
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web,
escience,karma,lifelsg,msr,peerprovenance,reviewedsciences,semanticweb,
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2BReW: Blackbox resource selection for e-Science workflows
Y. Simmhan, E. Soroush, C. van Ingen, D. Agarwal, and L. Ramakrishnan. Workshop on Workflows in Support of Large-Scale Science (WORKS), page 1-10. IEEE, (November 2010)
10 years ago by @simmhan
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escience,
msr,
peer
reviewed
scheduling,
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cloud,escience,msr,peerreviewedscheduling,workflow,
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3Comparison of resource platform selection approaches for scientific workflows
Y. Simmhan, and L. Ramakrishnan. International Workshop on Scientific Cloud Computing (ScienceCloud), page 445-450. ACM, (June 2010)
10 years ago by @simmhan
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azure,
cloud,
eScience,
hpc,
management,
msr,
paper
peer
resource
reviewed,
scheduling,
short
workflows,
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3Bridging the Gap between Desktop and the Cloud for eScience Applications
Y. Simmhan, C. van Ingen, G. Subramanian, and J. Li. International Cloud Computing Conference (CLOUD), page 474-481. IEEE, (July 2010)CORE B.
10 years ago by @simmhan
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cloud,
escience,
generic
genomics,
msr,
peer
reviewed
worker,
workflow,
cloud,escience,genericgenomics,msr,peerreviewedworker,workflow,
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3Social Web-Scale Provenance in the Cloud
Y. Simmhan, and K. Gomadam. International Provenance and Annotation Workshop (IPAW), volume 6378 of Lecture Notes in Computer Science (LNCS), page 298-300. Springer Berlin / Heidelberg, (2010)
10 years ago by @simmhan
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cloud,
msr,
network,
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peer
poster,
provenance,
reviewed,
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social
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2Stargazing through a Digital Veil: Managing a Large Scale Sky Survey using Distributed Databases on HPC Clusters
Y. Simmhan, C. van Ingen, J. Heasley, and A. Szalay. Workshop on High-Performance Computing meets Databases (HPCDB), page 33--36. (2011)
10 years ago by @simmhan
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data
databases,
escience,
graywulf,
hpc,
management,
msr,
panstarrs,
peer
reviewed
usc,
datadatabases,escience,graywulf,hpc,management,msr,panstarrs,peerreviewedusc,
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1GrayWulf: Scalable Software Architecture for Data Intensive Computing
Y. Simmhan, R. Barga, C. van Ingen, M. Nieto-Santisteban, L. Dobos, N. Li, M. Shipway, A. Szalay, S. Werner, and J. Heasley. MSR-TR-2008-186. Microsoft Research, (September 2008)
10 years ago by @simmhan
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cloud,
data
escience,
graywulf,
hpc,
management,
msr,
panstarrs
trident,
workflows,
cloud,dataescience,graywulf,hpc,management,msr,panstarrstrident,workflows,
(0)
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1The Open Provenance Model (v1.01)
L. Moreau, B. Plale, S. Miles, C. Goble, P. Missier, R. Barga, Y. Simmhan, J. Futrelle, R. McGrath, J. Myers and 8 other author(s). 16148. Intelligence, Agents, Multimedia Group, University of Southampton, (July 2008)
10 years ago by @simmhan
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model
msr,
opm,
provenance,
modelmsr,opm,provenance,
(0)
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1Automatic Provenance Recording for Scientific Data using Trident
Y. Simmhan, R. Barga, and C. van Ingen. American Geophysical Union (AGU) Fall Meeting, AGU, (2008)Poster.
10 years ago by @simmhan
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escience,
msr,
poster
provenance,
trident,
escience,msr,posterprovenance,trident,
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BibSonomy

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publications (hide)27
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2Karma2: Provenance Management for Data-Driven Workflows

2Provenance for Scientific Workflows: Towards Reproducible Research

2Analysis of approaches for supporting the Open Provenance Model: A case study of the Trident workflow workbench

3The Open Provenance Model core specification (v1.1)

3On Building Scientific Workflow Systems for Data Management in the Cloud

3Efficient scheduling of scientific workflows in a high performance computing cluster

3The Trident Scientific Workflow Workbench

3Building Reliable Data Pipelines for Managing Community Data Using Scientific Workflows

3GrayWulf: Scalable Software Architecture for Data Intensive Computing

2Building the Trident Scientific Workflow Workbench for Data Management in the Cloud

4Provenance Information Model of Karma Version 3

3Semantically Annotated Provenance in the Life Science Grid

2BReW: Blackbox resource selection for e-Science workflows

3Comparison of resource platform selection approaches for scientific workflows

3Bridging the Gap between Desktop and the Cloud for eScience Applications

3Social Web-Scale Provenance in the Cloud

2Stargazing through a Digital Veil: Managing a Large Scale Sky Survey using Distributed Databases on HPC Clusters

1GrayWulf: Scalable Software Architecture for Data Intensive Computing

1The Open Provenance Model (v1.01)

1Automatic Provenance Recording for Scientific Data using Trident

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