Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Nicolas Poggi"'
Publikováno v:
Technology Conference on Performance Evaluation and Benchmarking (TPCTC 2017)
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Performance Evaluation and Benchmarking for the Analytics Era
Recercat. Dipósit de la Recerca de Catalunya
instname
Performance Evaluation and Benchmarking for the Analytics Era ISBN: 9783319724003
TPCTC
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Performance Evaluation and Benchmarking for the Analytics Era
Recercat. Dipósit de la Recerca de Catalunya
instname
Performance Evaluation and Benchmarking for the Analytics Era ISBN: 9783319724003
TPCTC
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
BigBench is the new standard (TPCx-BB) for benchmarking and testing Big Data systems. The TPCx-BB specification describes several business use cases -- queries -- which require a broad combination of data extraction techniques including SQL, Map/Redu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::054463dacbbd32baedcd6cd96d5d74e5
http://arxiv.org/abs/2007.02800
http://arxiv.org/abs/2007.02800
Publikováno v:
DBTest@SIGMOD
With more than 1200 contributors, Apache Spark is one of the most actively developed open source projects. At this scale and pace of development, mistakes are bound to happen. In this paper we present SparkFuzz, a toolkit we developed at Databricks f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f905a05ee11d572377b50bc8b317aca
https://ir.cwi.nl/pub/30222
https://ir.cwi.nl/pub/30222
Autor:
David Carrera, Clemens Szyperski, Raghu Ramakrishnan, Nicolas Poggi, Thomas Fenech, Alejandro Montero, José A. Blakeley, Donald Kossmann, Josep Lluis Berral, Umar Farooq Minhas, Víctor Cuevas-Vicenttín, Gonzalo Gómez, Davide Brini
Publikováno v:
Performance Evaluation and Benchmarking for the Era of Cloud(s) ISBN: 9783030550233
TPCTC
TPCTC
We introduce an extension for TPC benchmarks addressing the requirements of big data processing in cloud environments. We characterize it as the Elasticity Test and evaluate under TPCx-BB (BigBench). First, the Elasticity Test incorporates an approac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01a9513de161773f820ae6f89f02f5c4
https://doi.org/10.1007/978-3-030-55024-0_1
https://doi.org/10.1007/978-3-030-55024-0_1
Autor:
Nicolas Poggi
Publikováno v:
Encyclopedia of Big Data Technologies ISBN: 9783319639628
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89a02f48885e05ec0438bf5abfd7524d
https://doi.org/10.1007/978-3-319-63962-8_111-1
https://doi.org/10.1007/978-3-319-63962-8_111-1
Autor:
Tilmann Rabl, Todor Ivanov, Anna Queralt, John Poelman, Jeffrey Buell, Meikel Poess, Nicolas Poggi
Publikováno v:
Performance Evaluation and Benchmarking: Traditional to Big Data to Internet of Things ISBN: 9783319314082
TPCTC
TPCTC
The field of Big Data and related technologies is rapidly evolving. Consequently, many benchmarks are emerging, driven by academia and industry alike. As these benchmarks are emphasizing different aspects of Big Data and, in many cases, covering diff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c532e24b8664b89999bc4d4dd987557e
https://doi.org/10.1007/978-3-319-31409-9_9
https://doi.org/10.1007/978-3-319-31409-9_9
Publikováno v:
Information Systems Frontiers. 16:867-885
The widespread adoption of high speed Internet access and it's usage for everyday tasks are causing profound changes in users' expectations in terms of Web site performance and reliability. At the same time, server management is living a period of ch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c1ec585b354bcfe3002f61327bfafc0
https://doi.org/10.1007/s10796-012-9387-4
https://doi.org/10.1007/s10796-012-9387-4
Publikováno v:
Computer Networks. 53:1712-1721
In the Internet, where millions of users are a click away from your site, being able to dynamically classify the workload in real time, and predict its short term behavior, is crucial for proper self-management and business efficiency. As workloads v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09c999b95398dee5353aaedab3848133
https://doi.org/10.1016/j.comnet.2008.08.022
https://doi.org/10.1016/j.comnet.2008.08.022
Publikováno v:
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining-KDD '15
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining-KDD 15
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
Universitat Jaume I
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining-KDD 15
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
Universitat Jaume I
This article presents ALOJA-Machine Learning (ALOJA-ML) an extension to the ALOJA project that uses machine learning techniques to interpret Hadoop benchmark performance data and performance tuning; here we detail the approach, efficacy of the model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eff64de5772a121f920591a85f577e77
http://arxiv.org/abs/1511.02030
http://arxiv.org/abs/1511.02030
Autor:
David Carrera, Nikola Vujic, Fabrizio Gagliardi, Aaron Call, Robert L. Reinauer, Daron Green, José A. Blakeley, Josep Ll. Berral, Nicolas Poggi
Publikováno v:
IEEE BigData
During the past years the exponential growth of data, its generation speed, and its expected consumption rate presents one of the most important challenges in IT both for industry and research. For these reasons, the ALOJA research project was create
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba57570e1ad826a85b2779a3d3c44d50
https://doi.org/10.1109/bigdata.2015.7363876
https://doi.org/10.1109/bigdata.2015.7363876