The Case for Workflow-Aware Storage:An Opportunity Study

This article evaluates the potential gains a workflow-aware storage system can bring. Two observations make us believe such storage system is crucial to efficiently support workflow-based applications: First, workflows generate irregular and application-dependent data access patterns. These patterns...

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Published in	Journal of grid computing Vol. 13; no. 1; pp. 95 - 113
Main Authors	Costa, L. B., Yang, H., Vairavanathan, E., Barros, A., Maheshwari, K., Fedak, G., Katz, D., Wilde, M., Ripeanu, M., Al-Kiswany, S.
Format	Journal Article
Language	English
Published	Dordrecht Springer Netherlands 01.03.2015 Springer Nature B.V Springer Verlag
Subjects	Computational grids Computer Science Construction Decisions Design optimization Distributed, Parallel, and Cluster Computing Gain Management of Computing and Information Systems Optimization Processor Architectures Storage systems User Interfaces and Human Computer Interaction Vanilla Workflow storage system Large-scale storage system Workflow-aware Workflow runtime engine Large-scale storage system· Workflow-aware· Storage system· Workflow runtime engine
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Abstract	This article evaluates the potential gains a workflow-aware storage system can bring. Two observations make us believe such storage system is crucial to efficiently support workflow-based applications: First, workflows generate irregular and application-dependent data access patterns. These patterns render existing generic storage systems unable to harness all optimization opportunities as this often requires enabling conflicting optimizations or even conflicting design decisions at the storage system level. Second, most workflow runtime engines make suboptimal scheduling decisions as they lack the detailed data location information that is generally hidden by the storage system. This paper presents a limit study that evaluates the potential gains from building a workflow-aware storage system that supports per-file access optimizations and exposes data location. Our evaluation using synthetic benchmarks and real applications shows that a workflow-aware storage system can bring significant performance gains: up to 3x performance gains compared to a vanilla distributed storage system deployed on the same resources yet unaware of the possible file-level optimizations.
AbstractList	This article evaluates the potential gains a workflow-aware storage system can bring. Two observations make us believe such storage system is crucial to efficiently support workflow-based applications: First, workflows generate irregular and application-dependent data access patterns. These patterns render existing generic storage systems unable to harness all optimization opportunities as this often requires enabling conflicting optimizations or even conflicting design decisions at the storage system level. Second, most workflow runtime engines make suboptimal scheduling decisions as they lack the detailed data location information that is generally hidden by the storage system. This paper presents a limit study that evaluates the potential gains from building a workflow-aware storage system that supports per-file access optimizations and exposes data location. Our evaluation using synthetic benchmarks and real applications shows that a workflow-aware storage system can bring significant performance gains: up to 3x performance gains compared to a vanilla distributed storage system deployed on the same resources yet unaware of the possible file-level optimizations.
Author	Fedak, G. Yang, H. Vairavanathan, E. Maheshwari, K. Wilde, M. Barros, A. Katz, D. Costa, L. B. Al-Kiswany, S. Ripeanu, M.
Author_xml	– sequence: 1 givenname: L. B. surname: Costa fullname: Costa, L. B. organization: Electrical and Computer Engineering, The University of British Columbia – sequence: 2 givenname: H. surname: Yang fullname: Yang, H. email: haoy@ece.ubc.ca organization: Electrical and Computer Engineering, The University of British Columbia – sequence: 3 givenname: E. surname: Vairavanathan fullname: Vairavanathan, E. organization: Electrical and Computer Engineering, The University of British Columbia – sequence: 4 givenname: A. surname: Barros fullname: Barros, A. organization: Universidade Federal de Campina Grande – sequence: 5 givenname: K. surname: Maheshwari fullname: Maheshwari, K. organization: University of Chicago & Argonne National Laboratory – sequence: 6 givenname: G. surname: Fedak fullname: Fedak, G. organization: INRIA – sequence: 7 givenname: D. surname: Katz fullname: Katz, D. organization: University of Chicago & Argonne National Laboratory – sequence: 8 givenname: M. surname: Wilde fullname: Wilde, M. organization: University of Chicago & Argonne National Laboratory – sequence: 9 givenname: M. surname: Ripeanu fullname: Ripeanu, M. organization: Electrical and Computer Engineering, The University of British Columbia – sequence: 10 givenname: S. surname: Al-Kiswany fullname: Al-Kiswany, S. organization: Electrical and Computer Engineering, The University of British Columbia
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Cites_doi	10.1145/1551609.1551642 10.1145/945445.945450 10.1177/109434200101500401 10.1109/MTAGS.2008.4777912 10.1007/978-3-540-28642-4_2 10.1145/502912.502915 10.1145/1851476.1851585 10.1109/MSST.2007.4367961 10.1145/1740390.1740394 10.1109/GRID.2007.4354142 10.1109/SC.2012.44 10.1109/MSST.2010.5496972 10.1145/224056.224064 10.1145/1645164.1645177 10.1016/S0022-2836(05)80360-2 10.1147/JRD.2011.2165682 10.1145/1383519.1383521 10.1109/58.139123 10.1145/1713072.1713078 10.1109/SC.2008.5213939 10.1145/2538542.2538560 10.1145/1362622.1362680 10.1145/1945023.1945030 10.1145/2110497.2110513 10.1145/1071690.1064230 10.1109/WORKS.2008.4723958 10.1145/146941.146943 10.1109/SCC.2007.79 10.1145/1383422.1383451 10.1007/s10723-008-9100-5 10.1073/pnas.0811739106
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Keywords	storage system Large-scale storage system Workflow-aware Workflow runtime engine Large-scale storage system· Workflow-aware· Storage system· Workflow runtime engine
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Snippet	This article evaluates the potential gains a workflow-aware storage system can bring. Two observations make us believe such storage system is crucial to...
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StartPage	95
SubjectTerms	Computational grids Computer Science Construction Decisions Design optimization Distributed, Parallel, and Cluster Computing Gain Management of Computing and Information Systems Optimization Processor Architectures Storage systems User Interfaces and Human Computer Interaction Vanilla Workflow
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Title	The Case for Workflow-Aware Storage:An Opportunity Study
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