SCHEDULE: NOV 15-20, 2015

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AnalyzeThis: An Analysis Workflow-Aware Storage System

SESSION: Scalable Storage Systems

EVENT TYPE: Papers

EVENT TAG(S): Storage, Data-Intensive Computing

TIME: 1:30PM - 2:00PM

SESSION CHAIR(S): Gabriel Antoniu

AUTHOR(S):Hyogi Sim, Youngjae Kim, Sudharshan S. Vazhkudai, Devesh Tiwari, Ali Anwar, Ali R. Butt, Lavanya Ramakrishnan

ROOM:18CD

ABSTRACT:

The need for novel data analysis is urgent in the face of a data deluge from
modern applications. Traditional approaches to data analysis incur significant
data movement costs, moving data back and forth between the storage system and
the processor. Emerging Active Flash devices enable processing on the flash,
where the data already resides. An array of such Active Flash devices allows us
to revisit how analysis workflows interact with storage systems. By seamlessly
blending together the flash storage and data analysis, we create an analysis
workflow-aware storage system, AnalyzeThis. Our guiding principle is that
analysis-awareness be deeply ingrained in each and every layer of the storage,
elevating data analyses as first-class citizens, and transforming AnalyzeThis
into a potent analytics-aware appliance. We implement the AnalyzeThis storage
system atop an emulation platform of the Active Flash array. Our results
indicate that AnalyzeThis is viable, expediting workflow execution and
minimizing data movement.

Chair/Author Details:

Gabriel Antoniu (Chair) - French Institute for Research in Computer Science and Automation|

Hyogi Sim - Virginia Polytechnic Institute and State University

Youngjae Kim - Oak Ridge National Laboratory

Sudharshan S. Vazhkudai - Oak Ridge National Laboratory

Devesh Tiwari - Oak Ridge National Laboratory

Ali Anwar - Virginia Polytechnic Institute and State University

Ali R. Butt - Virginia Polytechnic Institute and State University

Lavanya Ramakrishnan - Lawrence Berkeley National Laboratory

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Paper provided by the ACM Digital Library

Paper also available from IEEE Computer Society