Dynamic flow aggregation in SDNs for application-aware routing

Tsai, Tsung-Yen; Wang, Kuochen; Chao, Tzu-Yu

doi:10.1109/csndsp.2016.7573946

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…As such, an aggregation scheme must be efficient enough to adapt to the nature of frequent rule updates with less computation and fast update time. To this end, Tsai et al in [64] and Luo et al [65] used bit and subset weaving and fast flow table aggregation (FFTA), respectively, to shrink the flow table size and provide practical fast updates time. The FFTA construct optimal routing table constructor (ORTC)-based aggregation with binary search tree (BST) to optimally aggregate rules with bit merging on the tree.…”

Section: Flow Rule Aggregationmentioning

confidence: 99%

Software Defined Networking Flow Table Management of OpenFlow Switches Performance and Security Challenges: A Survey

et al. 2020

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Software defined networking (SDN) is an emerging network paradigm that decouples the control plane from the data plane. The data plane is composed of forwarding elements called switches and the control plane is composed of controllers. SDN is gaining popularity from industry and academics due to its advantages such as centralized, flexible, and programmable network management. The increasing number of traffics due to the proliferation of the Internet of Thing (IoT) devices may result in two problems: (1) increased processing load of the controller, and (2) insufficient space in the switches’ flow table to accommodate the flow entries. These problems may cause undesired network behavior and unstable network performance, especially in large-scale networks. Many solutions have been proposed to improve the management of the flow table, reducing controller processing load, and mitigating security threats and vulnerabilities on the controllers and switches. This paper provides comprehensive surveys of existing schemes to ensure SDN meets the quality of service (QoS) demands of various applications and cloud services. Finally, potential future research directions are identified and discussed such as management of flow table using machine learning.

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Section: Flow Rule Aggregationmentioning

confidence: 99%

Software Defined Networking Flow Table Management of OpenFlow Switches Performance and Security Challenges: A Survey

et al. 2020

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“…In addition, the network condition changes according to network traffic and failure. erefore, application-aware routing [14][15][16] is essential. is study proposes a framework called the Network Situation-Aware Framework (NSAF), and its mechanism satisfies this need and ensures a stable execution of SDN applications.…”

Section: Introductionmentioning

confidence: 99%

NSAF: An Approach for Ensuring Application-Aware Routing Based on Network QoS of Applications in SDN

Park

Hwang

Yeom

2019

Mobile Information Systems

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The advent of software-defined networking (SDN) has led to the paradigm of programmable network environments. Conceptually, the structure of SDN is divided into three layers: application, control, and infrastructure. The SDN controller in the control layer can configure and execute the routing of applications to the infrastructure layer consisting of network devices, including hosts and switches. Current studies on SDN have predominantly focused on control layer aspects, such as controller development, performance aspects of the controller, and interaction among different controllers and between controllers and network devices. However, to provide seamless network services and efficiently manage network environments, application-aware routing is essential because applications may have different quality of service (QoS) requirements, such as maximum bandwidth and minimum delay. This study proposes the Network Situation-Aware Framework (NSAF) to more efficiently handle application routing based on the QoS requirements and changing network status. A mechanism for supporting the NSAF consisting of application registration, network status monitoring, violation detection, and routing control is also presented. The applicability and feasibility of the proposed NSAF are verified by implementing a prototype. The NSAF may be used as a reference model for efficiently managing SDN-based networks to ensure application QoS.

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NNIRSS: neural network-based intelligent routing scheme for SDN

Zhang

Wang

et al. 2018

Neural Comput & Applic

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Dynamic flow aggregation in SDNs for application-aware routing

Cited by 3 publications

References 7 publications

Software Defined Networking Flow Table Management of OpenFlow Switches Performance and Security Challenges: A Survey

Software Defined Networking Flow Table Management of OpenFlow Switches Performance and Security Challenges: A Survey

NSAF: An Approach for Ensuring Application-Aware Routing Based on Network QoS of Applications in SDN

NNIRSS: neural network-based intelligent routing scheme for SDN

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