A Survey of Software-Defined Networking: Past, Present, and Future of Programmable Networks

Astuto, Bruno; Mendonca, Marc S.; Nguyễn, Xuân Hùng; Obraczka, Katia; Turletti, Thierry

doi:10.1109/surv.2014.012214.00180

Cited by 1,837 publications

(896 citation statements)

References 69 publications

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“…OFDPv2-B performed correctly, as expected. 6 Overall, both variants of OFDPv2 achieve a significant reduction in control traffic overhead over the state-of-the-art (OFDP). While the reduction in absolute terms might not be huge, in particular for scenarios with a dedicated out-of-band control channel with high capacity links, it is significant for SDNs with in-band control scenarios with limited link capacity, in particular for wireless links.…”

Section: Accepted Manuscriptmentioning

confidence: 94%

“…This is in contrast to traditional IP networks, where routers perform both packet forwarding (data plane) and run routing protocols, which discover network paths and make routing decisions (control plane). In SDN, control "intelligence" is removed from the forwarding elements (routers, switches), and concentrated in a logically centralised entity called the SDN controller, implemented in software 1 [4,5,6,7].…”

Section: Introductionmentioning

confidence: 99%

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Efficient topology discovery in OpenFlow-based Software Defined Networks

Pakzad

Portmann

Tan

et al. 2016

Computer Communications

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Software Defined Networking (SDN) is a new networking paradigm, with a great potential to increase network efficiency, ease the complexity of network control and management, and accelerate the rate of technology innovation. One of the core concepts of SDN is the separation of the network's control and data plane. The intelligence and the control of the network operation and management, such as routing, is removed from the forwarding elements (switches) and is concentrated in a logically centralised component, i.e. the SDN controller. In order for the controller to configure and manage the network, it needs to have up-to-date information about the state of the network, in particular its topology. Consequently, topology discovery is a critical component of any Software Defined Network architecture. In this paper, we evaluate the efficiency of the de facto standard approach to topology discovery currently implemented by the major SDN controller frameworks, and propose simple and practical modifications, which achieve a significantly improved efficiency and reduced control overhead. We have implemented our new topology discovery approach on the widely used POX controller platform, and have evaluated it for a range of network topologies via experiments using the Mininet network emulator as well as a specific topology in the OFELIA SDN testbed. Our results show that our proposed modifications achieve an up to 40% reduction in controller load compared to the current state-of-the-art approach, while delivering identical discovery functionality.

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Section: Accepted Manuscriptmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

Efficient topology discovery in OpenFlow-based Software Defined Networks

Pakzad

Portmann

Tan

et al. 2016

Computer Communications

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“…Depending on applications of OpenFlow, the default rule can be dropping packets or forwarding packets to the controller over the OpenFlow channel. In this work, to avoid delay communication between routers and the centralized controller, we consider the default rule which is just to forward packets to a default port (without contacting the controller), and each switch has exactly one default port [28]. As presented in Section 2.2, the routing table in OpenFlow switch has limited size.…”

Section: Optimizing Rule Placementmentioning

confidence: 99%

Optimizing rule placement in software-defined networks for energy-aware routing

Giroire

Mouliérac

Phan

2014

2014 IEEE Global Communications Conference

128

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Abstract:Software-defined Networks (SDN), in particular OpenFlow, is a new networking paradigm enabling innovation through network programmability. Over past few years, many applications have been built using SDN such as server load balancing, virtual-machine migration, traffic engineering and access control. In this paper, we focus on using SDN as an approach for energy-aware routing (EAR). Since traffic load has a small influence on power consumption of routers, EAR allows to put unused links into sleep mode to save energy. SDN can collect traffic matrix and then computes routing solutions satisfying QoS while being minimal in energy consumption. However, prior works on EAR have assumed that the table of OpenFlow switch can hold an infinite number of rules. In practice, this assumption does not hold since the flow table is implemented in Ternary Content Addressable Memory (TCAM) which is expensive and powerhungry. In this paper, we propose an optimization method to minimize energy consumption for a backbone network while respecting capacity constraints on links and rule space constraints on routers. In details, we present an exact formulation using Integer Linear Program (ILP) and introduce efficient greedy heuristic algorithm for large networks. Based on simulations, we show that using this smart rule space allocation, it is possible to save almost as much power consumption as in the classical EAR approach.

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“…This allows for a more flexible management of the network, as the control functions can be run centralized. [9] presents further details on the differences between traditional networking and SDN.…”

Section: Related Workmentioning

confidence: 99%

WiBACK: a back-haul network architecture for 5G networks

Niephaus¹,

Aliu²,

Kretschmer³

et al. 2014

International Conference on Frontiers of Communications, Networks and Applications (ICFCNA 2014 - Malaysia)

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Abstract-Recently both academic and industry world has started to define the successor of Long Term Evolution (LTE), so-called 5G networks, which will most likely appear by the end of the decade. It is widely accepted that those 5G networks will have to deal with significantly more challenging requirements in terms of provided bandwidth, latency and supported services. This will lead to not only modifications in access and parts of core networks, but will trigger changes throughout the whole network, including the Back-haul segment. In this work we present our vision of a 5G Back-haul network and identify the associated challenges. We then describe our Wireless Back-haul (WiBACK) architecture, which implements Software Defined Network (SDN) concepts and further extends them into the wireless domain. Finally we present a brief overview of our pilot installations before we conclude.

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A Survey of Software-Defined Networking: Past, Present, and Future of Programmable Networks

Cited by 1,837 publications

References 69 publications

Efficient topology discovery in OpenFlow-based Software Defined Networks

Efficient topology discovery in OpenFlow-based Software Defined Networks

Optimizing rule placement in software-defined networks for energy-aware routing

WiBACK: a back-haul network architecture for 5G networks

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