Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Nicoleta Tantalaki"'
Publikováno v:
IEEE Access, Vol 10, Pp 26149-26162 (2022)
Load balancing techniques in cloud computing can be applied at three different levels: Virtual machine load balancing, task load balancing, and resource load balancing. At all levels, load balancing should also be implemented in an efficient manner,
Externí odkaz:
https://doaj.org/article/26d5afdb613044428251451a9a469ee4
Publikováno v:
IEEE Access, Vol 8, Pp 117182-117202 (2020)
Nowadays, there is an accelerating need to efficiently and timely handle large amounts of data that arrives continuously. Streams of big data led to the emergence of several Distributed Stream Processing Systems (DSPS) that assign processing tasks to
Externí odkaz:
https://doaj.org/article/ac069631ddf24434a4172cff92915c82
Autor:
Nicoleta Tantalaki
Συνεχόμενες ροές δεδομένων σε όλο τον κόσμο αναπτύσσονται διαρκώς, δημιουργώντας επιτακτική ανάγκη να διαχειριστούμε αυτόν τον μεγάλο
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2af1fc29bd132adf04e6e2adf74df01
https://doi.org/10.12681/eadd/48866
https://doi.org/10.12681/eadd/48866
Publikováno v:
Journal of Agricultural & Food Information. 20:344-380
In this paper, we provide a review of the research dedicated to applications of data science techniques, and especially machine learning techniques, in relevant agricultural systems. Big data techn...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8ed08464bf1069f9d49bad9029b0cd7
https://doi.org/10.1080/10496505.2019.1638264
https://doi.org/10.1080/10496505.2019.1638264
Publikováno v:
International Journal of Parallel, Emergent and Distributed Systems. 35:571-601
Over the last decade, several interconnected disruptions have happened in the large scale distributed and parallel computing landscape. The volume of data currently produced by various activities o...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a344f9abf1e6cc0fb6d97d093c5005ce
https://doi.org/10.1080/17445760.2019.1585848
https://doi.org/10.1080/17445760.2019.1585848
Publikováno v:
WI
Nowadays, there is an accelerating need to efficiently and timely handle large amounts of data that arrives continuously. Streams of big data led to the emergence of Distributed Stream Processing Systems (DSPS) that assign processing tasks to the ava
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0302b6c2541e747e2060b98b49399410
https://doi.org/10.1145/3350546.3352507
https://doi.org/10.1145/3350546.3352507