SDN shim: Controlling legacy devices

Casey, Daniel J.; Mullins, Barry E.

doi:10.1109/lcn.2015.7366298

Cited by 12 publications

(5 citation statements)

References 4 publications

(2 reference statements)

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“…The SDN devices connect to legacy devices, and both distributed routing protocols and the SDN controller process the traffic. The SDN functionality can also be implemented by installing SDN shim hardware in legacy devices [29] to enable communication between an SDN controller and a modified legacy device. In [30], the authors present a service-based hybrid SDN wireless network model, which gives better performance, especially related to resiliency to path failures.…”

Section: The Hybrid Sdn Conceptmentioning

confidence: 99%

Hybrid SDN Networks: A Multi-parameter Server Load Balancing Scheme

et al. 2022

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Software-defined networking (SDN) provides many benefits, including traffic programmability, agility, and network automation. However, budget constraints burdened with technical (e.g., scalability, fault tolerance, security issues) and, sometimes, business challenges (user acceptance and confidence of network operators) make providers indecisive for full SDN deployment. Therefore, incremental deployment of SDN functionality through the placement of a limited set of SDN devices among traditional devices represents a rational and efficient environment that can offer customers modern and more data-intensive services. However, while hybrid SDN provides many benefits, it also has specific challenges addressed in the literature. This paper answers one of these challenges by presenting the research and development of a new load balancing scheme

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Section: The Hybrid Sdn Conceptmentioning

confidence: 99%

Hybrid SDN Networks: A Multi-parameter Server Load Balancing Scheme

et al. 2022

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“…This configuration allows the SDN controller to perform near-real-time updates on the routing optimization policy, to dynamically adjust the network state. This data plane is basically structured into sub-domains which are linked through strategically located SDN-enabled switches [45] [153]. The partitioning of OSPF network into sub-domains can promote TE through advancing control over the interconnecting sub-domain routers.…”

Section: ) Hybrid Sdn/ospf Network Architecturesmentioning

confidence: 99%

“…One major aspect that is central to the AI control plane is its capability to combine behavioural algorithmic models with reasoning techniques that are concerned with decisionmaking in SDN-enabled networks [153] [154]. The AI control plane can leverage the capabilities of the control plane and management plane to gain rich network visibility and intelligent network decision-making.…”

Section: ) Hybrid Sdn/ospf Network Architecturesmentioning

confidence: 99%

AI-Assisted Framework for Green-Routing and Load Balancing in Hybrid Software-Defined Networking: Proposal, Challenges and Future Perspective

et al. 2020

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The explosive growth of IP networks, the advent of cloud computing, and the rapid progress in wireless communications witnessed today reflect significant progress towards meeting the explosive data traffic demands. Consequently, communications service providers should deploy efficient and intelligent network solutions to accommodate the huge traffic demands and to ease the capacity pressure on their network infrastructure. Besides, vendors should develop novel energy-efficient networks to reduce network utility costs and carbon footprint. Software-defined networking (SDN) provides a suitable solution, however, complete SDN deployment is currently unachievable in the short-term. An alternative is the hybrid SDN/ open shortest path forwarding (OSPF) network, which allows the deployment of SDN in legacy networks. Nevertheless, hybrid SDN/OSPF also faces several technical, economic and organizational challenges. Although many energyefficiency routing solutions exist in hybrid SDN/OSPF networks, they are generic and reactive by design. Moreover, these solutions are characterized by manual control plane forwarding configurations, leading to sub-optimal performance. The recent promising combination of SDN and artificial intelligence (AI) techniques such as machine learning (ML) and deep learning (DL) in traffic management and control provides tremendous opportunities. In this paper, we first provide a review of the most recent optimization approaches for global energy-efficient routing and load balancing. Next, we investigate a scalable and intelligent integrated architectural framework that leverages deep reinforcement learning (DRL) techniques to realize predictive and rate adaptive energy-efficient routing with guaranteed quality of service (QoS), in transitional hybrid SDN/OSPF networks. Based on the need to minimize global network energy consumption and improve link performance, this paper provides key research insights into the current progress in hybrid SDN/OSPF, ML and AI in the hope of stimulating more research.

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“…For example, to incrementally deploy SDN and to exploit traffic engineering efficiently, the SDN switches should be deployed among the legacy switches in such a way that the maximum number of flows traverse SDN switches . Similarly, it is possible to install a hardware SDN shim in legacy switches such that the legacy switches can communicate with both legacy switches and the SDN switches/controller by running both traditional network protocols and SDN‐specific protocols. Similarly, to replace the whole legacy network by a SDN‐based one, the limited ternary addressable memory (TCAM) memory in SDN switches can degrade the performance as follows.…”

Section: Introductionmentioning

confidence: 99%

Solutions for adopting software defined network in practice

Shah

Giaccone

Rawat

et al. 2019

Int J Communication

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Software defined networking (SDN) has emerged as a new network paradigm, which decouples both control and management planes from data plane by implementing control and management at a (logically) centralized node, i.e., the controller. The data plane communicates with controller by using an open programming interface (like Openflow protocol 1 ). The reference SDN architecture is given in Figure 1 and explained as follows.Data plane: The data plane consists of standard switching devices, acting as routers, switches, and access points depending on the how they are programmed. A forwarding table is available in each switching device. When a data packet arrives at the switching device, the latter looks up its forwarding table whether an entry exists for the corresponding flow. If yes, then the data packet is forwarded/dropped as per action specified in the entry. Otherwise, the switching device buffers the data packet and sends a message to the controller to ask for instructions on how to process the packet. The controller sends back a forwarding rule to install in the forwarding table, which programs the action that the switching device must apply for the buffered data packet, and eventually for the future packets belonging to the same flow.Control plane: The controller acts as the "network brain" and is responsible for computing the forwarding behavior for the data packets based on the network topology, the network requirements (e.g., specified throughout access control list (ACL) policies), and the configuration of other network management functions (e.g., load balancing). The controller computes the forwarding decision and installs the corresponding rules in the forwarding tables present in the switching devices.Management plane: The management plane specifies the network applications (like load balancing, firewall, and monitoring) developed by the network operator.Plane interfaces: These planes in SDN interact with each other through standardized interfaces. The basic interfaces are (a) the southbound interface, used for communication between data plane and control plane, and (b) the northbound interface, used for communication between control plane and management plane.The SDN architecture has several advantages over the traditional networks. First, it centralizes the control in the SDN controller allowing a single and coherent view of the network state, simplifying the development of complex network applications and enabling the network administrator to push specific policies across the entire network. Second, the SDN architecture allows to evolve the control plane without changing the switching devices, since their actual behavior is programmed at the controller and can be reprogrammed at wish. Third, in traditional networks, the network administrator has to utilize management systems and/or manually define and implement security policies (e.g., ACL) at several switching devices. Instead, in SDN, security and/or traffic engineering policies can be defined just at the controller, and these will be forced in th...

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SDN shim: Controlling legacy devices

Cited by 12 publications

References 4 publications

Hybrid SDN Networks: A Multi-parameter Server Load Balancing Scheme

Hybrid SDN Networks: A Multi-parameter Server Load Balancing Scheme

AI-Assisted Framework for Green-Routing and Load Balancing in Hybrid Software-Defined Networking: Proposal, Challenges and Future Perspective

Solutions for adopting software defined network in practice

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