Orchestrating network functions in software-defined networks

2017 ◽  
Vol 14 (2) ◽  
pp. 104-117
Author(s):  
Hongchao Hu ◽  
Lin Pang ◽  
Zhenpeng Wang ◽  
Guozhen Cheng
Keyword(s):  
Software Defined Networks ◽  
Network Functions

scholarly journals On the Feasibility of Using Hierarchical Task Networks and Network Functions Virtualization for Managing Software-Defined Networks

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 38026-38040 ◽  
Author(s):  
William Villota ◽  
Mario Gironza ◽  
Armando Ordonez ◽  
Oscar Mauricio Caicedo Rendon
Keyword(s):  
Software Defined Networks ◽  
Network Functions ◽  
Task Networks

Virtualizing Network Functions in Software-Defined Networks

2018 ◽  
pp. 26-51 ◽  
Author(s):  
Vishal Kaushik ◽  
Ajay Sharma ◽  
Ravi Tomar
Keyword(s):  
Dynamic Behavior ◽  
Network Architecture ◽  
Software Defined Networking ◽  
Network Function Virtualization ◽  
Software Defined Networks ◽  
Network Behavior ◽  
Scalable Computing ◽  
Network Function ◽  
Pros And Cons ◽  
Network Functions

Software-defined networking (SDN) is an emerging network architecture that facilitates the network administrator to control and manage network behavior dynamically. Different from traditional networks, software-defined networks support dynamic and scalable computing. The dynamic behavior is achieved by decoupling or disassociating the system. The swing of control from tightly bound individual networks to assessable computing devices enables infrastructure abstraction. Due to the abstraction, the network can be considered as a logical or virtual entity. In this chapter, relation between network function virtualization (NFV) and software-defined networking (SDN) has been outlined. This chapter focuses on describing the pros and cons of NFV technologies. network functions virtualization (NFV) was founded under the work of the European Telecommunications Standards Institute (ETSI).

Software-defined networks and network functions virtualization in wireline access networks

2014 ◽  
Author(s):  
Bartek Kozicki ◽  
Nikolas Olaziregi ◽  
Randall B. Sharpe ◽  
Karsten Oberle ◽  
Mark Clougherty
Keyword(s):  
Access Networks ◽  
Software Defined Networks ◽  
Network Functions

scholarly journals Dragonfly addressing model for software defined networks based on datacenters

2018 ◽  
Vol 7 (2) ◽  
pp. 657
Author(s):  
Heba Hassan ◽  
Amr Al-Awamry ◽  
Mohammed Abdelhalim
Keyword(s):  
Information Technology ◽  
Software Defined Networks ◽  
Resource Flexibility ◽  
Clos Networks ◽  
Datacenter Networks ◽  
Network Simulations ◽  
High Radix ◽  
Network Functions ◽  
Simulation Results ◽  
The Cost

With the advancement of technology, virtualization has become very important for Information Technology (IT) experts. Network Functions Virtualization (NFV) means to address issues resulting from complex hardware-based appliances by developing standard IT virtualization technologies. Software Defined Networking (SDN) solidifies the advantages of datacenter virtualization, increases resource flexibility and utilization, and reduces infrastructure costs and overhead. Datacenter networks should have the ability to guarantee high throughput and resiliency. For such reasons, typical datacenter networks (e.g. Fat Tree) have been evolved to high-radix networks (e.g. Dragonfly). This work aims to investigate how SDN and NFV can improve the advantages of datacenter virtualization by utilizing datacenter topologies such as Dragonfly (DF) topology and Fat Tree (FT) topology in SDN, thus expanding resource flexibility and utilization and diminishing infrastructure costs and overhead. By using Dragonfly topology, the cost is reduced and better scalability is introduced compared to the folded clos networks such as Fat Tree. Here in, a novel addressing scheme is proposed for Dragonfly topology with simulation results included utilizing Mininet, which incorporates MiniEdit that is used to create and run network simulations.

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