Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Juhyeok Kwon"'
Publikováno v:
IEEE Access, Vol 11, Pp 105225-105247 (2023)
We consider guaranteeing end-to-end (E2E) latency bounds to flows in a network. It is desirable that flows are isolated from other flows. The bursts from other flows or the network utilization level should not affect a flow’s latency bound. The fai
Externí odkaz:
https://doaj.org/article/c225040cb79b4922b84e45f1618b5941
Publikováno v:
IEEE Access, Vol 10, Pp 15068-15083 (2022)
In this study, we propose a scalable framework that guarantees both latency and jitter bounds in large networks, including the Internet. The framework is composed of two parts: a latency-guaranteeing network and a jitter-guaranteeing end system. For
Externí odkaz:
https://doaj.org/article/049560802e60422e84c66b652168d7ed
Publikováno v:
Applied Sciences, Vol 13, Iss 6, p 3397 (2023)
In services such as metaverse, which should provide a constant quality of service (QoS) regardless of the user’s physical location, the end-to-end (E2E) latency must be fairly distributed over any flow in the network. To this end, we propose a rein
Externí odkaz:
https://doaj.org/article/7188bb620c39411ba2b0fe234df1ee27
Autor:
Jinoo Joung, Juhyeok Kwon
Publikováno v:
IEEE Access, Vol 9, Pp 49398-49414 (2021)
The demands for deterministic network services are getting significant. IEEE Time sensitive networking (TSN) task group has aimed for deterministic services through IEEE 802 networks. TSN’s solutions rely on the time-synchronization and the slot sc
Externí odkaz:
https://doaj.org/article/c04e9d5397f94d178394270a3e9219b2
Publikováno v:
The Journal of Korean Institute of Communications and Information Sciences. 48:413-422
Publikováno v:
The Journal of Korean Institute of Communications and Information Sciences. 47:1330-1340
Publikováno v:
The Journal of Korean Institute of Communications and Information Sciences. 47:944-952
Autor:
Juhyeok Kwon, Jinoo Joung
Publikováno v:
The Journal of Korean Institute of Communications and Information Sciences. 46:2270-2279
Publikováno v:
Electronics
Volume 12
Issue 4
Pages: 1042
Volume 12
Issue 4
Pages: 1042
Adopting reinforcement learning in the network scheduling area is getting more attention than ever because of its flexibility in adapting to the dynamic changes of network traffic and network status. In this study, a timeslot scheduling algorithm for