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pro vyhledávání: '"Matthias Eichholz"'
Programming languages like P4 enable specifying the behavior of network data planes in software. However, with increasingly powerful and complex applications running in the network, the risk of faults also increases. Hence, there is growing recogniti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0eaed521d93814a6fd8b8d9ff8c82d0b
Publikováno v:
ENCP@CoNEXT
Recent research shows many benefits for cloud workloads and network operations when putting software functionality onto switches. Sharing the physical resources of a programmable switch between multiple tenants and workloads enables the widespread de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3b2e71b01ec3f454cb1a70481b6cd9d
https://doi.org/10.1145/3359993.3366643
https://doi.org/10.1145/3359993.3366643
Publikováno v:
NetPL@SIGCOMM
With the move of Software-defined networking from fixed to programmable data planes, network functions are written with P4 or eBPF for targets such as programmable switches, CPU based flow processors [5] and commodity CPUs [7]. These data plane progr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::370a2b170a8314b79c8d170685647fe2
https://doi.org/10.1145/3341561.3349590
https://doi.org/10.1145/3341561.3349590
Publikováno v:
Programming
Network Function Virtualization (NFV) aims to overcome the limitations of hardware middleboxes by moving network functions to software. Ultimately, this approach enables deployment into virtualized environments with higher flexibility, reducing deplo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7bbce8678859b3378e2d08a698fe919
https://doi.org/10.1145/3191697.3213804
https://doi.org/10.1145/3191697.3213804
Autor:
Matthias Eichholz
Publikováno v:
SPLASH (Companion Volume)
Programming languages for Software-Defined Networks (SDNs) provide higher abstractions on top of hardware-based APIs like OpenFlow. Researchers started to develop SDN programming languages based on mathematical foundations, which makes these language
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16ac97e446594644e5034d4daf8a2e35
https://doi.org/10.1145/2984043.2984044
https://doi.org/10.1145/2984043.2984044
Publikováno v:
Principles of Data Mining and Knowledge Discovery ISBN: 9783540664901
PKDD
PKDD
Data Mining Algorithms extract patterns from large amounts of data. But these patterns will yield knowledge only if they are interesting, i.e. valid, new, potentially useful, and understandable. Unfortunately, during pattern search most Data Mining A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e0566cdd6c808e6dee95048010cc9fd
https://doi.org/10.1007/978-3-540-48247-5_26
https://doi.org/10.1007/978-3-540-48247-5_26