NDLI: FlexIO : Location-flexible Execution of In Situ Data Analytics for Large Scale Scientific Applications

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FlexIO : Location-flexible Execution of In Situ Data Analytics for Large Scale Scientific Applications

Content Provider	Semantic Scholar
Author	Zheng, Fang Zou, Hongbo Eisenhauer, Greg Schwan, Karsten Wolf, Matthew Dayal, Jay Nguyen, Tuan-Anh Cao, Jianting Abbasi, Hasan Klasky, Scott Podhorszki, Norbert Yu, Hongfeng
Copyright Year	2012
Abstract	Increasingly severe I/O bottlenecks on High-End Computing machines are prompting scientists to proc ess simulation output data while simulations are running and before placing data on disk – ”in situ” and/or ”in-transit ”. There are several options in placing in-situ data analytics a long the I/O path: on compute nodes, on staging nodes dedicated to analytics, or after data is stored on persistent storage. Diff erent placements have different impact on end to end performance and cost. The consequence is a need for flexibility in the locati on of in situ data analytics. The FlexIO facility described in this paper supports flexible placement of in situ analytics, by offering simple abstractions and methods that help developers explo it the opportunities and trade-offs in performing analytics at different levels of the I/O hierarchy. Experimental results with several large-scale scientific applications demonstrate the importance of flexibility in analytics placement. Keywords-I/O, In Situ Processing, Staging, Placement, Data Analytics
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://www.istc-cc.cmu.edu/publications/papers/2013/mware12-FlexIO-SC2012-submission-1.pdf
Alternate Webpage(s)	http://www.hpdc.org/2012/site/files/O6_poster.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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