SparkBench – A Spark Performance Testing Suite

Autor:	Josep Lluís Larriba-Pey, Frederick Reiss, Min Li, Dakshi Agrawal, Ali R. Butt, Berni Schiefer, Kshitij A. Doshi, Toyotaro Suzumura, Francois Raab, Yinglong Xia
Rok vydání:	2016
Předmět:	SQL business.industry Computer science Suite Modular design Test case Analytics Scalability Reference implementation business Software engineering computer Agile software development computer.programming_language
Zdroj:	Performance Evaluation and Benchmarking: Traditional to Big Data to Internet of Things ISBN: 9783319314082 TPCTC
Popis:	Spark has emerged as an easy to use, scalable, robust and fast system for analytics with a rapidly growing and vibrant community of users and contributors. It is multipurpose—with extensive and modular infrastructure for machine learning, graph processing, SQL, streaming, statistical processing, and more. Its rapid adoption therefore calls for a performance assessment suite that supports agile development, measurement, validation, optimization, configuration, and deployment decisions across a broad range of platform environments and test cases.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a4f1581d9d7c38a85c6ceb8bcaaff13a https://doi.org/10.1007/978-3-319-31409-9_3 Zobrazit plný text záznamu