Efficient Topology Discovery for Software-Defined Networks

Chang, Yi-Cheng; Lin, Hsin-Tsung; Chu, Hung-Mao; Wang, Pi-Chung

doi:10.1109/tnsm.2020.3047623

Cited by 15 publications

(7 citation statements)

References 54 publications

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“…They modified BOFUSS and constructed a hybrid switch, which can take charge of basic bridging and cooperate in path recovery with the controller. Chang et al [24] modified OVS and implemented a kind of hybrid switch with the function of topology discovery. This method reduces the CPU usage and traffic load on the controller significantly.…”

Section: Hybrid Sdn Switchmentioning

confidence: 99%

AP-SDN: Action Program enabled Software-Defined Networking Architecture

2023

KSII TIIS

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Software-Defined Networking (SDN) offers several advantages in dynamic routing, flexible programmable control and custom application-driven network management. However, the programmability of the data plane in traditional SDN is limited. A network operator cannot change the ability of the data plane and perform complex packet processing on the data plane, which limits the flexibility and extendibility of SDN. In the paper, AP-SDN (Action Program enabled Software-Defined Networking) architecture is proposed, which extends the action set of SDN data plane. In the proposed architecture, a modified Open vSwitch is utilized in the data plane allowing the execution of action programs at runtime, thus enabling complex packet processing. An example action program is also implemented which transparently encrypts traffic for terminals. At last, a prototype system of AP-SDN is developed and experiments show its effectiveness and performance.

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Section: Hybrid Sdn Switchmentioning

confidence: 99%

AP-SDN: Action Program enabled Software-Defined Networking Architecture

2023

KSII TIIS

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“…In [18], a complete discovery is proposed for an SDN deployed scenario to eliminate the redundant messages for the central controller. Likewise, in [19] and [20], new complete discovery mechanisms are proposed depending on the OpenFlow protocol to improve the discovery time.…”

Section: State Of the Artmentioning

confidence: 99%

Digital Twin Enriched Green Topology Discovery for Next Generation Core Networks

Duran

Canberk

2023

IEEE Trans. on Green Commun. Netw.

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Topology discovery is the key function of core network management since it utilizes the perception of data and mapping network devices. Nevertheless, it holds operational and resource efficiency complexities. For example, traditional discovery cannot perform predictive analysis to learn the network behavior. Moreover, traditional discovery periodically visits IP ports without considering the utilization levels, which leads to high resource usage and energy consumption. Hence, it is necessary to integrate intelligent methods into traditional discovery to deeply understand the behavioral pattern of a core network and recommend action to avoid these intrinsic complexities. Therefore, we propose a Digital Twin (DT) enriched Green Discovery Policy (DT-GDP) to serve a green discovery by using the increased intelligence and seamless assistance of DT. DT-GDP jointly uses the outputs of two modules to calculate the total energy consumption in Watts. In the energy module, we consider the service power, idle state power, and the cooling power of an IP port and derive a novel energy formula. In the visit decision module, we use Multilayer Perceptron (MLP) to classify the IP ports and recommend visit action. According to experimental results, we achieve a significant reduction in the visited ports by 53% and energy consumption by 66%.

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“…However, this can lead to redundant and unnecessary discovery traffic being sent to the controller. To address this issue, researchers [8], [13], [38], [39] have proposed event-driven discovery mechanisms that initiate network topology discovery only when changes occur. In their study, Azzouni et al [38] propose a Secure and Efficient Topology Discovery Protocol called sOFTDP as a novel and efficient alternative protocol to the current OFDP.…”

Section: ) Lldp-based Approachmentioning

confidence: 99%

“…This method actively notifies the controller of any changes in the physical topology as they occur. Similarly, Chang et al [8] proposed an approach that leverages LLDP-capable switches to transfer LLDP frames amongst neighbouring switches and relay any topology change to the controller.…”

Section: ) Lldp-based Approachmentioning

confidence: 99%

“…Their goal was to minimise the controller's overhead by reducing the number of Packet_Out messages sent during the OFDP discovery process. Chang et al [8] proposed an approach that leverages LLDP-capable switches to transfer LLDP frames amongst neighbouring switches and relay any topology change to the controller. This approach offers benefits such as reduced CPU utilisation and the required number of packets for discovery.…”

Section: Introductionmentioning

confidence: 99%

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An Effective, Efficient and Scalable Link Discovery (EESLD) Framework for Hybrid Multi-Controller SDN Networks

Salti,

Zhang

2023

IEEE Access

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The emergence of Software-Defined Networking (SDN) has revolutionised network management, offering improved flexibility, programmability, and scalability through the introduction of centralised controllers. Such a controller, e.g. an SDN controller, typically uses an OpenFlow discovery protocol to establish and maintain a global view of the topology in the underlying network. An accurate global view of the network topology is essential for effective routing, load balancing, and deployment of mobilitybased applications. However, in a hybrid multi-controller SDN network, the OpenFlow discovery protocol introduces repetitive operations, degrading effectiveness, efficiency, and scalability. This paper addresses this issue by presenting a novel link discovery framework for establishing and maintaining topology information in a hybrid multi-controller SDN network. The framework, named EESLD, uses an event-driven approach utilising the Bidirectional Forwarding Detection (BFD) protocol to detect direct and indirect SDN links in intra-domain and inter-domain networks. Additionally, EESLD uses the sFlow protocol to discover and monitor legacy links and employs a distributed messaging system to maintain a consistent network view across controllers. The EESLD framework has been implemented and evaluated on a Mininet emulator with an RYU controller and sFlow server. Performance evaluation results show that the EESLD framework can discover direct SDN links 10.3 times faster than OFDPv2, and indirect SDN links 12.9 times faster than BDDP in a network with 85 switches. Evaluation results also indicate that the sFlow-based link discovery outperforms the OSPF-based link discovery in legacy link discovery and removal times. These results show that the EESLD framework is a more effective, efficient and scalable solution for dynamic and large-scale hybrid multi-controller SDN networks.INDEX TERMS Software-Defined Networking (SDN), topology discovery, link discovery protocols, OpenFlow protocol, hybrid SDN, Multi-controller SDN.

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Efficient Topology Discovery for Software-Defined Networks

Cited by 15 publications

References 54 publications

AP-SDN: Action Program enabled Software-Defined Networking Architecture

AP-SDN: Action Program enabled Software-Defined Networking Architecture

Digital Twin Enriched Green Topology Discovery for Next Generation Core Networks

An Effective, Efficient and Scalable Link Discovery (EESLD) Framework for Hybrid Multi-Controller SDN Networks

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