Network Services Interface: An Interface for Requesting Dynamic Inter-datacenter Networks

2013 ◽  
Author(s):  
Tomohiro Kudoh ◽  
Guy Roberts ◽  
Inder Monga
Keyword(s):  
Network Services ◽  
Datacenter Networks

Virtualizing Network Services: Practical Perspectives

2017 ◽  
Author(s):  
Emad H. Al-Hemiary
Keyword(s):  
Network Services

Virtualizing Network Services: Practical Perspectives

2017 ◽  
Vol 2 (2) ◽  
pp. 470-478
Author(s):  
Emad H. Al-Hemiary
Keyword(s):  
Network Services

TOTP Moving Target Defense for sensitive network services

2021 ◽  
pp. 101412
Author(s):  
Vitor A. Cunha ◽  
Daniel Corujo ◽  
Joao P. Barraca ◽  
Rui L. Aguiar
Keyword(s):  
Network Services ◽  
Moving Target ◽  
Moving Target Defense

AAC: Adaptively Adjusting Concurrency by Exploiting Path Diversity in Datacenter Networks

2021 ◽  
Vol 29 (3) ◽  
Author(s):  
Weimin Gao ◽  
Jiawei Huang ◽  
Shaojun Zou ◽  
Weihe Li ◽  
Jianxin Wang ◽  
...  
Keyword(s):  
Path Diversity ◽  
Datacenter Networks ◽  
Adaptively Adjusting

scholarly journals Using Aerial and Vehicular NFV Infrastructures to Agilely Create Vertical Services

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1342
Author(s):  
Borja Nogales ◽  
Miguel Silva ◽  
Ivan Vidal ◽  
Miguel Luís ◽  
Francisco Valera ◽  
...  
Keyword(s):  
Ad Hoc Network ◽  
Ad Hoc ◽  
Cost Effective ◽  
Network Services ◽  
Network Function Virtualization ◽  
Mobile Environments ◽  
Network Resources ◽  
The Public ◽  
Network Function ◽  
And Performance

5G communications have become an enabler for the creation of new and more complex networking scenarios, bringing together different vertical ecosystems. Such behavior has been fostered by the network function virtualization (NFV) concept, where the orchestration and virtualization capabilities allow the possibility of dynamically supplying network resources according to its needs. Nevertheless, the integration and performance of heterogeneous network environments, each one supported by a different provider, and with specific characteristics and requirements, in a single NFV framework is not straightforward. In this work we propose an NFV-based framework capable of supporting the flexible, cost-effective deployment of vertical services, through the integration of two distinguished mobile environments and their networks: small sized unmanned aerial vehicles (SUAVs), supporting a flying ad hoc network (FANET) and vehicles, promoting a vehicular ad hoc network (VANET). In this context, a use case involving the public safety vertical will be used as an illustrative example to showcase the potential of this framework. This work also includes the technical implementation details of the framework proposed, allowing to analyse and discuss the delays on the network services deployment process. The results show that the deployment times can be significantly reduced through a distributed VNF configuration function based on the publish–subscribe model.

HOLNET: A Holistic Traffic Control Framework for Datacenter Networks

2020 ◽  
Author(s):  
Zhijun Wang ◽  
Akshit Singhal ◽  
Yunxiang Wu ◽  
Chuwen Zhang ◽  
Hao Che ◽  
...  
Keyword(s):  
Traffic Control ◽  
Datacenter Networks ◽  
Control Framework

scholarly journals An Information Recommendation Technique Based on Influence and Activeness of Users in Social Networks

2021 ◽  
Vol 11 (6) ◽  
pp. 2530
Author(s):  
Minsoo Lee ◽  
Soyeon Oh
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Recommendation Systems ◽  
Network Services ◽  
The Past ◽  
User Behaviors ◽  
User Influence ◽  
User Activity ◽  
Information Recommendation ◽  
Social Network Services

Over the past few years, the number of users of social network services has been exponentially increasing and it is now a natural source of data that can be used by recommendation systems to provide important services to humans by analyzing applicable data and providing personalized information to users. In this paper, we propose an information recommendation technique that enables smart recommendations based on two specific types of analysis on user behaviors, such as the user influence and user activity. The components to measure the user influence and user activity are identified. The accuracy of the information recommendation is verified using Yelp data and shows significantly promising results that could create smarter information recommendation systems.

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