Research on the Construction of Smart Campus Network Operation and Maintenance Service Platform

2021 ◽  
Author(s):  
Quan Liu
2019 ◽  
Vol 58 (4) ◽  
pp. 1271-1284 ◽  
Author(s):  
Fang Huang ◽  
Juhong Chen ◽  
Linhui Sun ◽  
Yaqi Zhang ◽  
Shujun Yao

Electronics ◽  
2018 ◽  
Vol 7 (11) ◽  
pp. 315
Author(s):  
Luis Guijarro ◽  
Jose Vidal ◽  
Vicent Pla

Network slicing is gaining an increasing importance as an effective way to introduce flexibility in the management of resources in 5G networks. We envision a scenario where a set of network operators outsource their respective networks to one Infrastructure Provider (InP), and use network slicing mechanisms to request the resources as needed for service provision. The InP is then responsible for the network operation and maintenance, while the network operators become Virtual Network Operators (VNOs). We model a setting where two VNOs compete for the users in terms of quality of service, by strategically distributing its share of the aggregated cells capacity managed by the InP among its subscribers. The results show that the rate is allocated among the subscribers at each cell in a way that mimics the overall share that each VNO is entitled to, and that this allocation is the Nash equilibrium of the strategic slicing game between the VNOs. We conclude that network sharing and slicing provide an attractive flexibility in the allocation of resources without the need to enforce a policy through the InP.


2021 ◽  
Vol 19 (2) ◽  
pp. 1775-1785
Author(s):  
Jiyuan Ren ◽  
◽  
Yunhou Zhang ◽  
Zhe Wang ◽  
Yang Song

<abstract> <p>Network operation and maintenance (O &amp; M) activities of data centers focus mainly on checking the operating states of devices. O &amp; M engineers determine how services are running and the bearing capacity of a data center by checking the operating states of devices. However, this method cannot reflect the real transmission status of business data; therefore, engineers cannot fully comprehensively perceive the overall running conditions of businesses. In this paper, ERSPAN (Encapsulated Remote Switch Port Analyzer) technology is applied to deliver stream matching rules in the forwarding path of TCP packets and mirror the TCP packets into the network O &amp; M AI collector, which is used to conduct an in-depth analysis on the TCP packets, collect traffic statistics, recapture the forwarding path, carry out delayed computing, and identify applications. This enables O &amp; M engineers to comprehensively perceive the service bearing status in a data center, and form a tightly coupled correlation model between networks and services through end-to-end visualized modeling, providing comprehensive technical support for data center optimization and early warning of network risks.</p> </abstract>


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