Techno-economic Analysis of Software Defined Networking as Architecture for the Virtualization of a Mobile Network

Naudts, Bram; Kind, Mario; Westphal, Fritz-Joachim; Verbrugge, Sofie; Colle, Didier; Pickavet, Mario

doi:10.1109/ewsdn.2012.27

Cited by 68 publications

(49 citation statements)

References 4 publications

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“…Some of these efforts include new architectures for a smooth migration from the current mobile core infrastructure to SDN [222], and techno-economic models for virtualization of these networks [549], [550]; carrier-grade OpenFlow virtualization schemes [551], [112], including virtualized broadband access infrastructures [552], techniques that are allowing the offer of network-as-a-service [553]; programmable GE-PON and DWDM ROADM [157], [158], [159], [160]; largescale inter-autonomous systems (ASs) SDN-enabled deployments [554]; flexible control of network resources [555], including offering MPLS services using an SDN approach [556]; and the investigation of novel network architectures, from proposals to separate the network edge from the core [557], [558], with the latter forming the fabric that transports packets as defined by an intelligent edge, to software-defined Internet exchange points [559], [526].…”

Section: H Meeting Carrier-grade and Cloud Requirementsmentioning

confidence: 99%

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Software-Defined Networking: A Comprehensive Survey

et al. 2015

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Abstract-The Internet has led to the creation of a digital society, where (almost) everything is connected and is accessible from anywhere. However, despite their widespread adoption, traditional IP networks are complex and very hard to manage. It is both difficult to configure the network according to predefined policies, and to reconfigure it to respond to faults, load and changes. To make matters even more difficult, current networks are also vertically integrated: the control and data planes are bundled together. Software-Defined Networking (SDN) is an emerging paradigm that promises to change this state of affairs, by breaking vertical integration, separating the network's control logic from the underlying routers and switches, promoting (logical) centralization of network control, and introducing the ability to program the network. The separation of concerns introduced between the definition of network policies, their implementation in switching hardware, and the forwarding of traffic, is key to the desired flexibility: by breaking the network control problem into tractable pieces, SDN makes it easier to create and introduce new abstractions in networking, simplifying network management and facilitating network evolution.In this paper we present a comprehensive survey on SDN. We start by introducing the motivation for SDN, explain its main concepts and how it differs from traditional networking, its roots, and the standardization activities regarding this novel paradigm. Next, we present the key building blocks of an SDN infrastructure using a bottom-up, layered approach. We provide an in-depth analysis of the hardware infrastructure, southbound and northbound APIs, network virtualization layers, network operating systems (SDN controllers), network programming languages, and network applications. We also look at cross-layer problems such as debugging and troubleshooting. In an effort to anticipate the future evolution of this new paradigm, we discuss the main ongoing research efforts and challenges of SDN. In particular, we address the design of switches and control platforms -with a focus on aspects such as resiliency, scalability, performance, security and dependability -as well as new opportunities for carrier transport networks and cloud providers. Last but not least, we analyze the position of SDN as a key enabler of a software-defined environment.

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Section: H Meeting Carrier-grade and Cloud Requirementsmentioning

confidence: 99%

“…Scale up to meet demands, and scale down to conserve resources (elastic middleboxes). [571], [549] Other Issues Energy saving strategies are hard to implement. Flexible and easy to deploy energy saving strategies.…”

Section: Deployment and Managementmentioning

confidence: 99%

Software-Defined Networking: A Comprehensive Survey

et al. 2015

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“…Software defined networking offers great opportunities to increase efficiency while at the same time reducing costs and complexity 53,54 . Today's cloud computing demands are exploding, and as a result less energy consumption and high security networking is needed 21,4 .…”

Section: Software Defined Networking: Effect -Economic Factorsmentioning

confidence: 99%

A Literature Review on Challenges and Effects of Software Defined Networking

Horvath¹,

Nedbal²,

Stieninger³

2015

Procedia Computer Science

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Network technologies have always been a crucial part of success for technologies like cloud computing. But due to the slow development of a scalable IT infrastructure, this can lead to issues in competitiveness. Software defined networking (SDN) can thereby counteract such issues by giving new functions to the whole network topology. With SDN, administrators have the possibility to abstract the underlying network infrastructure for applications and network services. The paper reports on the main outcomes of a systematic literature review on challenges and effects of SDN. It shows that most papers address the implementation of software defined networking as a challenge, including factors like vendor lock-in and the general risk of changing traditional network architectures. Attention is also given to security issues arising with software defined networks and the permanent high demand from the end-user combined with the fear of changing traditional networks. Issues dealing with specialized know-how were identified as another challenge category. Effects of SDN are discussed by defining unique features of SDN like decoupling hardware from the software and the global view of the whole network architecture. SDN furthermore affects the management of the network, including changes in deployment of policies, the programmability and maintenance of the network. Economic factors, such as cost efficiency and reduction of costs, are also discussed.

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“…Proposals in this area have encompassed Software-Defined Wireless Networks [6,7], Wireless Mesh Software-Defined Networks [8], and mobile technologies, particularly Long Term Evolution (LTE) [9,10]. Naudts et al [11] highlighted the technoeconomic case for the transition to an SDN based mobile network infrastructure supported by claimed capital expenditure savings, compared to traditional infrastructures, ranging from almost 14% with SDN alone and up to 58% when a virtualized shared SDN is considered. Some examples of proposals for SDN integration with mobile networks include the deployment of radio access base stations [12] and LTE network components [13] into cloud environments.…”

Section: Related Workmentioning

confidence: 99%

The SELFNET Approach for Autonomic Management in an NFV/SDN Networking Paradigm

Neves

Calé

Costa

et al. 2016

International Journal of Distributed Sensor Networks

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To meet the challenging key performance indicators of the fifth generation (5G) system, the network infrastructure becomes more heterogeneous and complex. This will bring a high pressure on the reduction of OPEX and the improvement of the user experience. Hence, shifting today's manual and semi-automatic network management into an autonomic and intelligent framework will play a vital role in the upcoming 5G system. Based on the cutting-edge technologies, such as Software-Defined Networking and Network Function Virtualization, a novel management framework upon the software-defined and Virtualized Network is proposed by EU H2020 SELFNET project. In the paper, the reference architecture of SELFNET, which is

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Techno-economic Analysis of Software Defined Networking as Architecture for the Virtualization of a Mobile Network

Cited by 68 publications

References 4 publications

Software-Defined Networking: A Comprehensive Survey

Software-Defined Networking: A Comprehensive Survey

A Literature Review on Challenges and Effects of Software Defined Networking

The SELFNET Approach for Autonomic Management in an NFV/SDN Networking Paradigm

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