DocumentCode :
2858274
Title :
A Benchmark Suite for Unstructured Data Processing
Author :
Smullen, C.W. ; Tarapore, IV Shahrukh Rohinton ; Gurumurthi, Sudhanva
Author_Institution :
Univ. of Virginia, Charlottesville
fYear :
2007
fDate :
24-24 Sept. 2007
Firstpage :
79
Lastpage :
83
Abstract :
A large fraction of the data that will stored and accessed in future systems is expected to be unstructured, in the form of images, audio files, etc. Therefore, it is very important to design future I/O subsystems to provide efficient storage, and access to these vast and continuously growing repositories of unstructured data. To facilitate system design and evaluation, we first need benchmarks that capture the processing and I/O access characteristics of applications that operate on unstructured data. In this paper, we present an unstructured data processing benchmark suite that we have developed. We provide detailed descriptions of the workloads in the benchmark suite and discuss the larger space of application characteristics that each of them capture.
Keywords :
benchmark testing; information retrieval systems; data access; data storage; unstructured data processing benchmark suite; unstructured data repository; Application software; Biomedical imaging; Computer architecture; Data processing; Digital cameras; Image databases; Image edge detection; Image storage; Market research; Operating systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Storage Network Architecture and Parallel I/Os, 2007. SNAPI.International Workshop on
Conference_Location :
San Diego, CA
Print_ISBN :
978-0-7695-3097-0
Type :
conf
DOI :
10.1109/SNAPI.2007.8
Filename :
4438051
Link To Document :
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