DocumentCode :
249530
Title :
YCSB and TPC-H: Big Data and Decision Support Benchmarks
Author :
Barata, Melyssa ; Bernardino, Jorge ; Furtado, Pedro
Author_Institution :
ISEC, Polytech. Inst. of Coimbra, Coimbra, Portugal
fYear :
2014
fDate :
June 27 2014-July 2 2014
Firstpage :
800
Lastpage :
801
Abstract :
In computing, a benchmark is the result of running a set of computer programs or a computer program, in order to assess relative performance by running a series of standard tests. By doing this, researchers highlight the characteristics of certain systems and are able to rank the system against the rest. On the other hand, BigData is a hot topic. It not only deals with large amounts of data sets and the procedures and tools used to analyze and manipulate them, but also to a computational turn in research and thought. At the same time, Decision Support applications are related to Big Data as they need to deal with large datasets. In this paper we describe two of the most popular benchmarks, one representing Decision Support Systems (TPC-H), and the other represents the Big Data class (YCSB - Yahoo Cloud Serving Benchmark).
Keywords :
Big Data; decision support systems; Big Data; TPC-H; YCSB; Yahoo cloud serving benchmark; decision support systems; Benchmark testing; Big data; Business; Computers; Databases; Decision support systems; Throughput; Benchmarking; Big Data; Decision Support Systems; TPC-H; YCSB;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Big Data (BigData Congress), 2014 IEEE International Congress on
Conference_Location :
Anchorage, AK
Print_ISBN :
978-1-4799-5056-0
Type :
conf
DOI :
10.1109/BigData.Congress.2014.128
Filename :
6906872
Link To Document :
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