Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Vincenzo Gulisano"'
Publikováno v:
IEEE Access, Vol 9, Pp 137714-137732 (2021)
As Vehicular Networks rely increasingly on sensed data to enhance functionality and safety, efficient and distributed data analysis is needed to effectively leverage new technologies in real-world applications. Considering the tens of GBs per hour se
Externí odkaz:
https://doaj.org/article/4daf2da9edd84369961059e1a9fe3897
Publikováno v:
Journal of Parallel and Distributed Computing. 177:68-88
Autor:
Vincenzo Gulisano, Hannaneh Najdataei, Yiannis Nikolakopoulos, Alessandro V. Papadopoulos, Marina Papatriantafilou, Philippas Tsigas
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 33:4221-4238
Stream processing applications extract value from raw data through Directed Acyclic Graphs of data analysis tasks. Shared-nothing (SN) parallelism is the de-facto standard to scale stream processing applications. Given an application, SN parallelism
Publikováno v:
Proceedings of the VLDB Endowment. 16:230-242
In data streaming, why-provenance can explain why a given outcome is observed but offers no help in understanding why an expected outcome is missing. Explaining missing answers has been addressed in DBMSs, but these solutions are not directly applica
Publikováno v:
2023 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT).
Publikováno v:
Proceedings of the 23rd International Middleware Conference Industrial Track.
Publikováno v:
Proceedings of the 23rd International Middleware Conference Industrial Track.
Publikováno v:
Proceedings of the 2022 Workshop on Advanced tools, programming languages, and PLatforms for Implementing and Evaluating algorithms for Distributed systems.
Publikováno v:
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing.
Publikováno v:
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing.