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Optimal orchestration of virtual network functions [PDF]

Computer Networks, 2018
-The emergence of Network Functions Virtualization (NFV) is bringing a set of novel algorithmic challenges in the operation of communication networks. NFV introduces volatility in the management of network functions, which can be dynamically orchestrated, i.e., placed, resized, etc. Virtual Network Functions (VNFs) can belong to VNF chains, where nodes
Gao, Meihui, Addis, Bernardetta, Bouet, Mathieu, Secci, Stefano   +3 more
openaire   +2 more sources

Reducing Service Creation Time Leveraging on Network Function Virtualization

IEEE Access, 2020
Fifth-generation (5G) networks are envisioned to simultaneously support several services with different connectivity requirements. In this respect, service creation time is a key performance indicator (KPI) for service providers when planning the ...
Winnie Nakimuli, Jaime Garcia-Reinoso, Borja Nogales, Ivan Vidal, Diogo Gomes, Diego Lopez   +5 more
doaj   +1 more source

Network function virtualization fault analysis and processing method based on improved intelligent optimization algorithm

Dianxin kexue, 2016
Network function virtualization has become an important trend in the global development of telecommunications industry，with the rapid development of network function virtualization and rapid growth of the telecommunications business，analysis and ...
Zhiming WANG, Bing CHEN
doaj   +2 more sources

Generalized virtual networking: An enabler for service centric networking and network function virtualization [PDF]

2014 16th International Telecommunications Network Strategy and Planning Symposium (Networks), 2014
In this paper we introduce the Generalized Virtual Networking (GVN) concept. GVN provides a framework to influence the routing of packets based on service level information that is carried in the packets. It is based on a protocol header inserted between the Network and Transport layers, therefore it can be seen as a layer 3.5 solution.
SALSANO, STEFANO DOMENICO, BLEFARI MELAZZI, NICOLA, LO PRESTI, FRANCESCO, Siracusano, G, Ventre, PL   +4 more
openaire   +3 more sources

Survey on network function virtualization in RAN

Dianxin kexue, 2019
Network function virtualization (NFV) is a kind of new network technology rising in recent years. It realizes the decoupling of software and hardware by running the software which has specific function on a general-purpose hardware server.
Haiyu JIA, Jia CHEN, Mingxin WANG
doaj   +2 more sources

Software Defined Networking (SDN) and Network Function Virtualization (NFV)

Future Internet, 2020
The role of Software Defined Networking (SDN) and Network Function Virtualization (NFV) have been instrumental in realizing the transition and vision “from black boxes to a white box towards facilitating 5G network architectures”.
Symeon Papavassiliou
doaj   +1 more source

Traffic routing in stochastic network function virtualization networks

Journal of Network and Computer Applications, 2020
Abstract Network Function Virtualization (NFV) is emerging as an attractive solution, which can transform complex network functions from the dedicated hardware implementations into software instances running in a virtualized environment. In NFV, the requested service is implemented by a sequence of Virtual Network Functions (VNF) that can run on ...
Song Yang, Nan He, Fan Li, Xiaoming Fu
openaire   +2 more sources

NPRA: Novel Policy Framework for Resource Allocation in 5G Software Defined Networks

EAI Endorsed Transactions on Mobile Communications and Applications, 2018
In cellular networks, physical resources are always limited, especially when shared among different contributors such as mobile network operator (MNO) or mobile virtual network operators (MVNO) etc.
Sahrish Khan Tayyaba, Adnan Akhunzada, Noor Ul Amin, Munam Ali Shah, Faheem Khan, Ihsan Ali   +5 more
doaj   +1 more source

Digital twins to accelerate target identification and drug development for immune‐mediated disorders

FEBS Open Bio, EarlyView.
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley   +1 more source

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu, Qi Wang, Suhui Kuang, Dezhi Cao, Ping Ding, Shaohui Zhang, Haihua Wei, Zhirong Wei, Jinshan Xu, Xinyu Huang, Bing Liu, Shuli Liang   +11 more
wiley   +1 more source