Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Amit Mandelbaum"'
Publikováno v:
GECCO
Networking devices deployed in ultra-scale data centers must run perfectly and in real-time. The networking device performance is tuned using the device configuration registers. The optimal configuration is derived from the network topology and traff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1dc769d74d82e9cd4aad2885e0bb678c
https://doi.org/10.1145/3449639.3459272
https://doi.org/10.1145/3449639.3459272
Autor:
Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor
We approach the task of network congestion control in datacenters using Reinforcement Learning (RL). Successful congestion control algorithms can dramatically improve latency and overall network throughput. Until today, no such learning-based algorit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8380d7cc8c18eb383a7f65ade54b1ad
Publikováno v:
ACM Transactions on Modeling & Computer Simulation; Jul2024, Vol. 34 Issue 3, p1-25, 25p
Publikováno v:
ACM Transactions on Software Engineering & Methodology; Jan2024, Vol. 33 Issue 1, p1-33, 33p
Intelligent Environments (IEs) aims to empower users by enriching their experience, raising their awareness and enhancing their management of their surroundings. The term IE is used to describe the physical spaces where ICT and pervasive technologies