Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Jiyoon Lim"'
Publikováno v:
Journal of the Korean Magnetics Society. 33:17-28
Publikováno v:
International Journal of Mental Health Promotion; 2023, Vol. 25 Issue 9, p971-984, 14p
Publikováno v:
NetSoft
Data center networks are designed with multi-rooted topologies to provide the large bisection bandwidth. These topologies provide high path diversity and need a load balancing algorithm to utilize bisection bandwidth efficiently. To distributes traff
Publikováno v:
CNSM
We proposed a best nexthop load-balancing algorithm that helps avoid the congestion path by using global network information, then compared the best nexthop algorithm with the ECMP algorithm. The best nexthop algorithm collects the network informatio
Publikováno v:
2020 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia).
Network anomaly detection is a technology that detects malicious attacks occurring in the network in real time. This paper proposes an anomaly detection algorithm using machine learning with In-band network telemetry (INT) as input features. INT is a
Publikováno v:
APNOMS
Data center network traffic fluctuates over time while applications in the data center require high throughput and low latency. To satisfy these requirements, many load balancing algorithms have been proposed. But existing load balancing algorithms s
Publikováno v:
International Journal of Environmental Research and Public Health
International Journal of Environmental Research and Public Health, Vol 17, Iss 4561, p 4561 (2020)
Volume 17
Issue 12
International Journal of Environmental Research and Public Health, Vol 17, Iss 4561, p 4561 (2020)
Volume 17
Issue 12
Lockdown measures have been widely used to control and prevent virus transmission in pandemic regions. However, the psychological effects of lockdown measures have been neglected, and the related theoretical research lags behind the practice. The pre