Results 281 to 290 of about 98,682 (301)

Predictive Analysis in Network Function Virtualization

Proceedings of the Internet Measurement Conference 2018, 2018
Recent deployments of Network Function Virtualization (NFV) architectures have gained tremendous traction. While virtualization introduces benefits such as lower costs and easier deployment of network functions, it adds additional layers that reduce transparency into faults at lower layers.
Zhijing Li 0001, Zihui Ge, Ajay Mahimkar, Jia Wang 0001, Ben Y. Zhao, Haitao Zheng 0001, Joanne Emmons, Laura Ogden   +7 more
openaire   +2 more sources

Automated virtual network functions onboarding

2016 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), 2016
Network functions virtualization (NFV) opens up a new ability of network enablement through agile network DevOps to design, develop, and test new services and to provide ongoing updates of existing services. This paper proposes a tool and methodology to aid the NFV designer to rapidly design and onboard new services and applications.
Christian Makaya, Douglas M. Freimuth
openaire   +1 more source

The virtual network function placement problem

2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2015
Network functions are widely deployed in modern networks, providing various network services ranging from intrusion detection to HTTP caching, for the purpose of performance, security or policy compliance. According to a recent survey [6], network function deployments are ubiquitous: on par with the number of L3 infrastructures.
Xin Li 0057, Chen Qian 0001
openaire   +1 more source

Placement Issues in Network Function Virtualization

2020
Network function virtualization(NFV) is being widely recognized as a network paradigm potentially suitable for current and future dynamic network service environment. NFV introduces flexible network function ordering in network service provisioning by proposing separation of network functions from the underlying hardware.
Khem Prosad Sharma, Arup Bhattacharjee
openaire   +1 more source

Multi-tenancy for Virtualized Network Functions

Proceedings of the 2015 1st IEEE Conference on Network Softwarization (NetSoft), 2015
The proliferation of cloud computing techniques has created a multitude of applications for network services deployments, enabled by the adoption of Software Defined Networks (SDN) and Network Functions Virtualization (NFV) paradigms. Mobile Network Operators (MNOs) also have the opportunity to leverage these technologies to enable the delivery of ...
Ahmed Medhat, Giuseppe Carella, Joyce B. Mwangama, Neco Ventura   +3 more
openaire   +1 more source

vNFC: A Virtual Networking Function Container for SDN-Enabled Virtual Networks

2012 Second Symposium on Network Cloud Computing and Applications, 2012
Software-defined networks (SDN) has gradually been deployed on commercial networks such as datacenter networks. Current SDN is based on OpenFlow technology that is a set ofnetwork flow control API for switch devices. For instance, network reachability between end-hosts (or virtual machines), packet filtering mechanisms, and status management of ...
openaire   +1 more source

Network Function Virtualization

2018
This chapter covers Network Function Virtualization (NFV); previously you were introduced to high-level virtualization concepts in the “Software Defined Networking (SDN)” chapter. NFV and SDN are complementary technologies used in conjunction for achieving lower operating expense (OpEX) and capital expense (CapEX).
openaire   +1 more source

A two-stage approach for multicast-oriented virtual network function placement

Applied Soft Computing Journal, 2021
Xinhan Wang, Huanlai Xing, Dawei Zhan
exaly  

Multiagent Deep-Reinforcement-Learning-Based Virtual Resource Allocation Through Network Function Virtualization in Internet of Things

IEEE Internet of Things Journal, 2021
Hurmat Ali Shāh, Lian Zhao
exaly  

Virtual network function deployment algorithm based on graph convolution deep reinforcement learning

Journal of Supercomputing, 2022
Liang Liang, Qiu Rixuan
exaly