Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Armen Aghasaryan"'
Publikováno v:
Entropy, Vol 25, Iss 6, p 917 (2023)
Maintaining and managing ever more complex telecommunication networks is an increasingly difficult task, which often challenges the capabilities of human experts. There is a consensus both in academia and in the industry on the need to enhance human
Externí odkaz:
https://doaj.org/article/609738fcf30d45c6b522cfde6ca50b58
Publikováno v:
NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium
NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium, Apr 2022, Budapest, Hungary. pp.1-7, ⟨10.1109/NOMS54207.2022.9789809⟩
NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium, Apr 2022, Budapest, Hungary. pp.1-7, ⟨10.1109/NOMS54207.2022.9789809⟩
International audience; As today’s networking systems utilize more virtualisation, efficient auto-scaling of resources becomes increasingly critical for controlling both the performance and energy consumption. In this paper, we study the techniques
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd1b35990aaaefe5a850d4b2328cea18
https://hal-cnrs.archives-ouvertes.fr/hal-03811176
https://hal-cnrs.archives-ouvertes.fr/hal-03811176
Publikováno v:
Complex Networks & Their Applications X ISBN: 9783030934088
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae03b76daa46d1f9a474c3baa1080cd2
https://doi.org/10.1007/978-3-030-93409-5_40
https://doi.org/10.1007/978-3-030-93409-5_40
Publikováno v:
PIMRC
Wireless networks are becoming more and more complex. New radio access technologies and cell densification have provided increased efficiency and met the needs of an increasing traffic demand. On the other hand, such increment in complexity poses new
Publikováno v:
Annals of Telecommunications. 74:625-636
The digital system of the future will face the growing challenge of controlling the system behavior in complex dynamically evolving environments. In this paper, we examine the applicability of a new management paradigm based on a reinforcement learni
Publikováno v:
Machine Learning for Networking ISBN: 9783030199449
MLN
MLN
In the era of growing digitalization, dynamic resource management becomes one of the critical problems in many application fields where, due to the permanently evolving environment, the trade-off between cost and system performance needs to be contin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::089f22aa16d7969b335864c057107750
https://doi.org/10.1007/978-3-030-19945-6_8
https://doi.org/10.1007/978-3-030-19945-6_8
Publikováno v:
ICIN
The digital system of the future will face the growing challenge of controlling the system behavior in complex dynamically evolving environments. In this paper, we examine the applicability of a new management paradigm based on Reinforcement Learning
Publikováno v:
ICIN
In this demonstration, we show the applicability of a new management paradigm based on Reinforcement Learning approach for the control of systems' behavior in complex dynamically evolving environments, without requiring preliminary specifications of
Publikováno v:
ICIN
In this paper, we present an approach for automated profiling of cloud-based distributed applications. The failure dependencies within or between application nodes can be methodically elucidated by dynamically applying a series of unitary perturbatio
Publikováno v:
Bell Labs Technical Journal. 18:33-44
The “privacy versus personalization” dilemma refers to the situation in which it is necessary for users to disclose their sensitive personal data in order to benefit from collaborative personalized services. Solving this dilemma is a challenge be