NDLI: A Workflow-Aware Storage System: An Opportunity Study

Content Provider	IEEE Xplore Digital Library
Author	Vairavanathan, E. Al-Kiswany, S. Costa, L.B. Zhao Zhang Katz, D.S. Wilde, M. Ripeanu, M.
Copyright Year	2012
Abstract	This paper 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 storage systems unable to harness all optimization opportunities as this often requires conflicting optimization options or even conflicting design decision at the level of the storage system. Second, when scheduling, workflow runtime engines make suboptimal decisions as they lack detailed data location information. This paper discusses the feasibility, and evaluates the potential performance benefits brought by, building a workflow-aware storage system that supports per-file access optimizations and exposes data location. To this end, this paper presents approaches to determine the application-specific data access patterns, and evaluates experimentally the performance gains of a workflow-aware storage approach. Our evaluation using synthetic benchmarks shows that a workflow-aware storage system can bring significant performance gains: up to 7x performance gain compared to the distributed storage system - MosaStore and up to 16x compared to a central, well provisioned, NFS server.
Starting Page	326
Ending Page	334
File Size	339433
Page Count	9
File Format	PDF
ISBN	9781467313957
DOI	10.1109/CCGrid.2012.109
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-13
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optimization Runtime Engines Processor scheduling Performance gain Distributed databases Buildings workflow optimizations Large-scale storage systems workflow-aware storage systems
Content Type	Text
Resource Type	Article

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