Zobrazeno 1 - 10
of 95
pro vyhledávání: '"software containers"'
Autor:
Akif Quddus Khan, Nikolay Nikolov, Mihhail Matskin, Radu Prodan, Dumitru Roman, Bekir Sahin, Christoph Bussler, Ahmet Soylu
Publikováno v:
Sensors, Vol 23, Iss 2, p 564 (2023)
Big data pipelines are developed to process data characterized by one or more of the three big data features, commonly known as the three Vs (volume, velocity, and variety), through a series of steps (e.g., extract, transform, and move), making the g
Externí odkaz:
https://doaj.org/article/5d347bb465c046c48debd0354a03d9da
Akademický článek
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Publikováno v:
Frontiers in Big Data, Vol 4 (2021)
This editorial summarizes the contributions to the Frontiers Research topic “Innovative Analysis Ecosystems for HEP Data”, established under the Big Data and AI in High Energy Physics section and appearing under the Frontiers in Big Data and Fron
Externí odkaz:
https://doaj.org/article/4105fa24b13a4d4fb2a4adb5ff84bac4
Autor:
Corodescu, Andrei-Alin
Publikováno v:
Corodescu, Andrei-Alin. Locality-Aware Big Data Workflow Orchestration Using Software Containers. Master thesis, University of Oslo, 2021
Externí odkaz:
http://hdl.handle.net/10852/87811
https://www.duo.uio.no/bitstream/handle/10852/87811/1/Master_Thesis_UIO-final.pdf
https://www.duo.uio.no/bitstream/handle/10852/87811/1/Master_Thesis_UIO-final.pdf
Autor:
Andrei-Alin Corodescu, Nikolay Nikolov, Akif Quddus Khan, Ahmet Soylu, Mihhail Matskin, Amir H. Payberah, Dumitru Roman
Publikováno v:
Sensors, Vol 21, Iss 24, p 8212 (2021)
The emergence of the edge computing paradigm has shifted data processing from centralised infrastructures to heterogeneous and geographically distributed infrastructures. Therefore, data processing solutions must consider data locality to reduce the
Externí odkaz:
https://doaj.org/article/fdd067e28d324a008e0664ffa3bf841a
Autor:
Wellington Silva-de-Souza, Arman Iranfar, Anderson Bráulio, Marina Zapater, Samuel Xavier-de-Souza, Katzalin Olcoz, David Atienza
Publikováno v:
Energies, Vol 13, Iss 9, p 2162 (2020)
Run-time profiling of software applications is key to energy efficiency. Even the most optimized hardware combined to an optimally designed software may become inefficient if operated poorly. Moreover, the diversification of modern computing platform
Externí odkaz:
https://doaj.org/article/4fa4275d74ab4d45b032f16676726cd9
Autor:
Aleena Thomas, Nikolay Nikolov, Antoine Pultier, Dumitru Roman, Brian Elvesaeter, Ahmet Soylu
Publikováno v:
IEEE Annual International Computer Software and Applications Conference (COMPSAC)
Computer Software and Applications Conference
Computer Software and Applications Conference
Big data pipelines are becoming increasingly vital in a wide range of data intensive application domains such as digital healthcare, telecommunication, and manufacturing for efficiently processing data. Data pipelines in such domains are complex and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41facc3e0d1ee37d98be792c5c98ffc9
https://hdl.handle.net/11250/3050731
https://hdl.handle.net/11250/3050731