Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ling Xia Liao"'
Publikováno v:
Sensors, Vol 24, Iss 3, p 963 (2024)
Accurately and efficiently predicting elephant flows (elephants) is crucial for optimizing network performance and resource utilization. Current prediction approaches for software-defined networks (SDNs) typically rely on complete traffic and statist
Externí odkaz:
https://doaj.org/article/6ecb85cafce843779c6ac0e32bd75a15
Publikováno v:
Applied Sciences, Vol 13, Iss 5, p 2985 (2023)
Software-Defined Networking (SDN) systems are sensitive to the lifespans of flow entries in flow tables as such lifespans affect the overall network-forwarding latency and the flow table space usage, particularly when the systems are under cyber atta
Externí odkaz:
https://doaj.org/article/622c3c51f698403c8ab522da8aa9e184
Autor:
Changqing Zhao Changqing Zhao, Ling Xia Liao Changqing Zhao, Han-Chieh Chao Ling Xia Liao, Roy Xiaorong Lai Han-Chieh Chao, Miao Zhang Roy Xiaorong Lai
Publikováno v:
網際網路技術學刊. 23:1029-1040
Elephant flow (elephant) classification is significant for network performance management and resource optimization. Classifying elephants over Software Defined Networks (SDNs) often relies on statistics counted by switches and transferred to control
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::900363d48579c8a6068853994444a2a0
https://doi.org/10.53106/160792642022092305011
https://doi.org/10.53106/160792642022092305011
Autor:
Chaoxing Ren Chaoxing Ren, Yun Li Chaoxing Ren, Xuejun Wang Yun Li, Ling Xia Liao Xuejun Wang, Roy Xiaorong Lai Ling Xia Liao
Publikováno v:
網際網路技術學刊. 22:1635-1648
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f7ef2515c47f8c32802267956abef79
https://doi.org/10.53106/160792642021122207016
https://doi.org/10.53106/160792642021122207016
Publikováno v:
網際網路技術學刊. 22:1053-1066
Wide Area Networks (WANs) form the network core that covers wide geographical areas. WANs often have complex topologies, and it is challenging to incorporate multiple controllers in the control plane to reduce the network delay in Wide Area Software
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21527305969dc7d8d9194a921238028a
https://doi.org/10.53106/160792642021092205010
https://doi.org/10.53106/160792642021092205010
Publikováno v:
Journal of Parallel and Distributed Computing. 146:64-78
Elephant flows (elephants) refer to the sequences of packets that contribute only 10% of the total volume but consume over 90% of the network bandwidth. They often cause network congestion and should be efficiently managed. Present cloud data centers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::434ff9b47214f2cdacfd60ecb864f63b
https://doi.org/10.1016/j.jpdc.2020.07.008
https://doi.org/10.1016/j.jpdc.2020.07.008
Publikováno v:
2021 International Symposium on Computer Technology and Information Science (ISCTIS).
This paper proposes a controller-based elephant detection approach based on packet statistics sampled by dynamic timeouts of flow entries. It avoids transporting statistics generated at switches to controllers by directly counting statistics using th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68370f07a078867876de2d04d35d9307
https://doi.org/10.1109/isctis51085.2021.00091
https://doi.org/10.1109/isctis51085.2021.00091
Publikováno v:
Journal of Physics: Conference Series. 2216:012085
This paper introduces an Asynchronous Federated Learning (AFL) approach to train an elephant flow model over Software Defined Networking (SDN) systems with distributed controllers. The AFL addresses the issues of data privacy and communication overhe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd224c460891d08f2725c89e030089cc
https://doi.org/10.1088/1742-6596/2216/1/012085
https://doi.org/10.1088/1742-6596/2216/1/012085