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pro vyhledávání: '"Margara, Alessandro"'
In recent years, the serverless paradigm has been widely adopted to develop cloud applications, as it enables building scalable solutions while delegating operational concerns such as infrastructure management and resource provisioning to the serverl
Externí odkaz:
http://arxiv.org/abs/2410.21793
Autor:
De Martini, Luca, Margara, Alessandro, Cugola, Gianpaolo, Donadoni, Marco, Morassutto, Edoardo
Today, data analysis drives the decision-making process in virtually every human activity. This demands for software platforms that offer simple programming abstractions to express data analysis tasks and that can execute them in an efficient and sca
Externí odkaz:
http://arxiv.org/abs/2306.04421
Stream processing is extensively used in the IoT-to-Cloud spectrum to distill information from continuous streams of data. Streaming applications usually run in dedicated Stream Processing Engines (SPEs) that adopt the DataFlow model, which defines s
Externí odkaz:
http://arxiv.org/abs/2303.00793
Data is a precious resource in today's society, and is generated at an unprecedented and constantly growing pace. The need to store, analyze, and make data promptly available to a multitude of users introduces formidable challenges in modern software
Externí odkaz:
http://arxiv.org/abs/2203.10836
Autor:
De Martini, Luca, Margara, Alessandro, Cugola, Gianpaolo, Donadoni, Marco, Morassutto, Edoardo
Publikováno v:
In Future Generation Computer Systems November 2024 160:472-488
Autor:
Rubio, Ana, Cantarero, Rubén, Margara, Alessandro, Cugola, Gianpaolo, Villa, David, López, Juan Carlos
Publikováno v:
In Internet of Things April 2024 25
Autor:
MARGARA, ALESSANDRO1 alessandro.margara@polimi.com, CUGOLA, GIANPAOLO1 gianpaolo.cugola@polimi.com, FELICIONI, NICOLÒ1 nicolo.felicioni@polimi.com, CILLONI, STEFANO1 stefano.cilloni@mail.polimi.com
Publikováno v:
ACM Computing Surveys. Jan2024, Vol. 56 Issue 1, p1-69. 69p.
Akademický článek
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Publikováno v:
In Journal of Parallel and Distributed Computing June 2020 140:65-79
Autor:
De Martini, Luca, Margara, Alessandro, Cugola, Gianpaolo, Donadoni, Marco, Morassutto, Edoardo
Today, data analysis drives the decision-making process in virtually every human activity. This demands for software platforms that offer simple programming abstractions to express data analysis tasks and that can execute them in an efficient and sca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d04f5ee601716a5b16e9c67be8d43ed4
http://arxiv.org/abs/2306.04421
http://arxiv.org/abs/2306.04421