PI-PD Controller for Adaptive and Robust Active Queue Management for Internet                 Congestion Control

Ryu, Seungwan; Ryu, Byung-Han; Jeong, Myoungki; Park, Seikwon

doi:10.1177/0037549705056202

Cited by 11 publications

(20 citation statements)

References 29 publications

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“…Most current SDN controller platform implement this topology discovery mechanism (OFDP), such as NOX [20], POX [23], Floodlight [24], Ryu [25], Beacon [26], etc. Looking at the source code of the topology discovery implementations reveals only some very minor variations, mostly in regards to the A C C E P T E D M A N U S C R I P T timing of message sending.…”

Section: Sdn Topology Discovery -Current Approachmentioning

confidence: 99%

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: Sdn Topology Discovery -Current Approachmentioning

confidence: 99%

Efficient topology discovery in OpenFlow-based Software Defined Networks

Pakzad

Portmann

Tan

et al. 2016

Computer Communications

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“…Mininet allows the creation of a network of virtual SDN switches and hosts, con- [34], ONOS [35], FloodLight [36], and OpenDaylight [37].…”

Section: Methodsmentioning

confidence: 99%

“…Most current SDN controller platforms such as NOX [48], POX [33], Ryu [34], ONOS [35], OpenDaylight [37], Floodlight [36], and Beacon [121] implement the OFDP discovery mech- …”

Section: Openflow Discovery Protocol (Ofdp)mentioning

confidence: 99%

“…Proxy ARP can easily be implemented in SDN by installing Proxy ARP handling is implemented in most SDN controllers, including POX [33], Ryu [34], ONOS [35], Floodlight [36] and OpenDaylight [37], which we consider in our experiments.…”

Section: Arp Handling In Sdnmentioning

confidence: 99%

“…We show the feasibility of the attack, both via network emulation as well as test-bed experiments, for both POX [33] and Ryu [34], two widely used SDN controller platforms. We further demonstrate and evaluate the impact of the link spoofing attack on higher layer services.…”

Section: Introductionmentioning

confidence: 99%

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Security in software defined networks

Alharbi¹

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Software Defined Networking (SDN) is an emerging computer network paradigm and represents one of the most promising technologies to simplify network management and configuration through increased network programmability and abstraction. In contrast to traditional networks, in SDN, the control plane, which makes decisions on how to forward traffic, is separated from the data plane, which transmits traffic to selected destinations. That makes network control (via the SDN controller) more programmable, dynamic and centralised. With the higher level of abstraction that SDN provides, network administrators can more easily configure network services and manage traffic flows without having to configure a large number of individual network devices (switches and routers). The great potential of SDN has led to significant deployments in data centres, wide area networks, etc., and it is growing at a rapid pace.Security is a critical aspect of networking in general and is particularly vital in SDN. Due to its fundamentally new architecture, SDN presents new potential security vulnerabilities and risks. Security in SDN has not received much attention yet, given that it is very distinct and unique.The goal of this PhD was to address this gap and analyse the security of the SDN infrastructure, identify vulnerabilities and weaknesses, and propose corresponding solutions and improvements. The focus was on the fundamental aspects and components of SDN, in particular the building blocks of the control plane components include Topology Discovery, Address Resolution Protocol (ARP) Handling and Virtualisation Layer. Finally, the thesis thoroughly explored and investigated the most common and effective attacks against the SDN architecture.

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