Fast Network Configuration in Software Defined Networking

Achleitner, Stefan; Bartolini, Novella; He, Ting; Porta, Thomas La; Tootaghaj, Diman Zad

doi:10.1109/tnsm.2018.2874051

Cited by 20 publications

(6 citation statements)

References 41 publications

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“…The [4] clarified that using sFlow technology embedded in the controller shows that the method can detect and reduce DDoS attacks. The study [89] discussed that SDN provides a mechanism allowing the use of flow rules to modify and re-program the data plane easily. They developed optimization architecture and associated flow configuration algorithms that reduce the configuration time by 55% and average time to recover interrupted flows by 40 %.…”

Section: Survey Discussion and Analysismentioning

confidence: 99%

“…Achleitner, Bartolini, He, Porta and Tootaghaj [89] discussed that SDN provides a mechanism allowing the use of flow rules to modify and reprogram the data plane easily. The realization of highly adaptive SDNs with the potential to respond to evolving requirements or recover in a short period after a network outage depends on successful flow rules updates.…”

Section: Literature Reviewmentioning

confidence: 99%

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Comparison of Software Defined Networking with Traditional Networking

Haji

Zeebaree

Saeed

et al. 2021

AJRCoS

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The Internet has caused the advent of a digital society; wherein almost everything is connected and available from any place. Thus, regardless of their extensive adoption, traditional IP networks are yet complicated and arduous to operate. Therefore, there is difficulty in configuring the network in line with the predefined procedures and responding to the load modifications and faults through network reconfiguring. The current networks are likewise vertically incorporated to make matters far more complicated: the control and data planes are bundled collectively. Software-Defined Networking (SDN) is an emerging concept which aims to change this situation by breaking vertical incorporation, promoting the logical centralization of the network control, separating the network control logic from the basic switches and routers, and enabling the network programming. The segregation of concerns identified between the policies concept of network, their implementation in hardware switching and data forwarding is essential to the flexibility required: SDN makes it less complicated and facilitates to make and introduce new concepts in networking through breaking the issue of the network control into tractable parts, simplifies the network management and facilitate the development of the network. In this paper, the SDN is reviewed; it introduces SDN, explaining its core concepts, how it varies from traditional networking, and its architecture principles. Furthermore, we presented the crucial advantages and challenges of SDN, focusing on scalability, security, flexibility, and performance. Finally, a brief conclusion of SDN is revised.

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Section: Survey Discussion and Analysismentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Comparison of Software Defined Networking with Traditional Networking

Haji

Zeebaree

Saeed

et al. 2021

AJRCoS

View full text Add to dashboard Cite

show abstract

“…By installing flow table entries on switches, the SDN controller can precisely define how to handle specific types of traffic, including routing, filtering, forwarding, or modification. The installation of flow table entries affects the traffic forwarding in the data plane [ 45 ]. Effective installation of flow table entries can optimize network performance and implement various network policies, but incorrect installation may lead to network failures or performance issues.…”

Section: Rscrmentioning

confidence: 99%

Research on Computing Resource Measurement and Routing Methods in Software Defined Computing First Network

Gong,

Ren,

Wang

et al. 2024

Sensors

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Computing resource measurement and computing routing are essential technologies in the computing first network (CFN), serving as its foundational elements. This paper introduces a Software Defined Computing First Network (SD-CFN) architecture. Building upon this framework, a Dynamic-Static Integrated Computing Resource Measurement Mechanism (DCRMM) is proposed, incorporating methods such as the entropy weight method and K-Means clustering. The DCRMM algorithm outperforms the Maximum-closest Static Algorithm (MSA) and Maximum Closest Dynamic Algorithm (MDA) in terms of node stability, node utilization, and node matching accuracy. Additionally, a Reinforcement Learning and Software Defined Computing First Networking Routing (RSCR) algorithm is presented as a software-defined computing routing solution within the SD-CFN. RSCR introduces a knowledge plane responsible for computing routing calculations. It comprehensively considers factors such as link latency, available bandwidth, and packet loss rate. Simulation experiments conducted on the GÉANT topology demonstrate that RSCR outperforms the OSPF algorithm in terms of link latency, packet loss rate, and throughput. DCRMM and RSCR offer innovative solutions for computing resource measurement and computing routing in computing first networks.

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“…In order to determine the flow rules and to reduce the computation time in Software Defined Networking, efficient heuristics optimization (EHO) is designed by sequential selection of path or relaxing the MILP such that the solution provided by minimum deployment time is approximated [14]. Secure routing is established by integrating whale optimization algorithm (WOA) and lion algorithm (LA) in MANET for optimal path selection [15].…”

Section: Literature Reviewmentioning

confidence: 99%

Hybrid Genetic Algorithm with Directed Acyclic Graph for Enhancing Data Transmission and Reducing Energy Hole Problem

sheela¹,

Prabakaran

Arun

2023

Preprint

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Software Defined Networking (SDN) is a smart architecture which enables a network to be controlled in a centralized manner. It plays a vital role in several real-time applications and has three planes- the data plane, control plane and application plane. The architecture of SDN is simple and is inbuilt with a centralized controller at the control plane. SDN operates efficiently on Mobile Adhoc NETworks (MANET) in various environments and applications. Due to the mobility of nodes, several research issues are faced by SDN-MANET. Some of the challenges include a large overhead and less packet delivery ratio. To overcome these challenges, a Hybrid Improved Whale optimization with Particle Swarm Optimization algorithm (HIW-PSO) is proposed with Directed Acyclic Graphs (DAG) topology. This algorithm enhances the data transmission by reducing the energy hole issue. The Directed Acyclic Graphs (DAG) topology is constructed by calculating the polynomial-time for lining of all participant nodes through its edges. The proposed algorithm is evaluated for packet delivery ratio, throughput, delay, network lifetime and energy consumption. Furthermore, the performance of HIW-PSO is evaluated against other standard contemporary optimization algorithms EHO and M-LWO. As a result, the proposed method achieves an energy consumption of 35.8%, PDR of 53.2 %, a throughput of 84.8%, network lifetime of 75.4% and delay of 23.8%.

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Fast Network Configuration in Software Defined Networking

Cited by 20 publications

References 41 publications

Comparison of Software Defined Networking with Traditional Networking

Comparison of Software Defined Networking with Traditional Networking

Research on Computing Resource Measurement and Routing Methods in Software Defined Computing First Network

Hybrid Genetic Algorithm with Directed Acyclic Graph for Enhancing Data Transmission and Reducing Energy Hole Problem

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