Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Prasanth Kothuri"'
Autor:
Castro, Diogo, Moscicki, Jakub, Bocchi, Enrico, Saavedra, Enric Tejedor, Piparo, Danilo, Vila, Pere Mato, Prasanth Kothuri, Mrowczynski, Piotr
SWAN (Service for Web-based ANalysis) is a CERN service that allows users to perform interactive data analysis in the cloud, in a "software as a service" model. The service is a result of the collaboration between IT Storage and Databases groups and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::190e8e2ea73b040fb97b5a17394941af
Autor:
Piotr Mrowczynski, Emil Kleszcz, Manuel Martin Marquez, Riccardo Castellotti, Zbigniew Baranowski, Jose Carlos Luna Duran, Evangelos Motesnitsalis, Prasanth Kothuri, Luca Canali, Nuno Guilherme Matos de Barros
Publikováno v:
EPJ Web of Conferences, Vol 214, p 04058 (2019)
The interest in using scalable data processing solutions based on Apache Hadoop ecosystem is constantly growing in the High Energy Physics (HEP) community. This drives the need for increased reliability and availability of the central Hadoop service
Autor:
Prasanth Kothuri, Enrico Bocchi, Maciej Malawski, Danilo Piparo, Jan Kaspar, Jakub Moscicki, Leszek Grzanka, Valentina Avati, Enrico Guiraud, Milosz Blaszkiewicz, Massimo Lamanna, Luca Canali, Javier Cervantes, Aleksandra Mnich, Shravan Murali, Diogo Castro, Enric Tejedor
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030293994
Euro-Par
Euro-Par
The High-Energy Physics community faces new data processing challenges caused by the expected growth of data resulting from the upgrade of LHC accelerator. These challenges drive the demand for exploring new approaches for data analysis. In this pape
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd5353349650f46de0cffc75a42f4172
https://doi.org/10.1007/978-3-030-29400-7_18
https://doi.org/10.1007/978-3-030-29400-7_18
Publikováno v:
EPJ Web of Conferences, Vol 214, p 07020 (2019)
This talk is about sharing our recent experiences in providing data analytics platform based on Apache Spark for High Energy Physics, CERN accelerator logging system and infrastructure monitoring. The Hadoop Service has started to expand its user bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de4da091733f4418d48b0f88c6e3d054
http://cds.cern.ch/record/2699480
http://cds.cern.ch/record/2699480
Autor:
Enric Tejedor, Aleksandra Mnich, Valentina Avati, Enrico Bocchi, Prasanth Kothuri, Milosz Blaszkiewicz, Enrico Guiraud, Javier Cervantes, Luca Canali, Jan Kaspar, Massimo Lamanna, Leszek Grzanka, Danilo Piparo, Shravan Murali, Maciej Malawski, Jakub Moscicki, Diogo Castro
Publikováno v:
UCC Companion
The High Energy Physics community has been developing dedicated solutions for processing experiment data over decades. However, with recent advancements in Big Data and Cloud Services, a question of application of such technologies in the domain of p
Publikováno v:
Integrated Intelligent Computing, Communication and Security ISBN: 9789811087967
We propose an architecture for analysing database connection logs across different instances of databases within an intranet comprising over 10,000 users and associated devices. Our system uses Flume agents to send notifications to a Hadoop Distribut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ab5a1c783dafcfbd89eb18614778ca7
https://doi.org/10.1007/978-981-10-8797-4_22
https://doi.org/10.1007/978-981-10-8797-4_22
Autor:
Diogo Castro, Maciej Malawski, Luca Canali, Enrico Bocchi, Jakub T. Mościcki, Hugo Gonzalez Labrador, Prasanth Kothuri, Piotr Mrowczynski
Publikováno v:
EPJ Web of Conferences, Vol 245, p 07047 (2020)
Container technologies are rapidly becoming the preferred way by developers and system administrators to package applications, distribute software and run services. A crucial role is played by container orchestration software such as Kubernetes, whic