A Comparative Evaluation of the Performance of SDN Controllers (ONOS) using DOCKER Container

Technium Romanian Journal of Applied Sciences and Technology, Journal Year: 2023, Volume and Issue: 8, P. 25 - 31

Published: March 8, 2023

software-defined networks SDN represents a significant shift in the networking field through ability to solve problems facing traditional networks, such as updating components for and integration between devices. Open-source protocols were used SDN. Among its advantages are separation of control plane from data plane, use OpenFlow protocol, transition Decentralization network management. In SDN, there several types controllers. this paper, work has been done on ONOS controllers cluster mode one five controllers, comparison performance different numbers obtain best Cbench. It was found that using or two achieves

Language: Английский

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A Qualitative and Comparative Performance Assessment of Logically Centralized SDN Controllers by Mininet Emulator

Published: Jan. 30, 2024

Software-defined networking (SDN) divides a traditional network into programmable data plane and centralized control plane. This technology is expected to transform companies that provide flexible intelligent operations. The core component utilized oversee every action the controller in In order achieve optimal performances, controller’s performance capabilities are therefore crucial. There lots of research available existing literature. Nevertheless, no qualitative comparison study OpenFlow-enabled distributed but logically controllers exists for them. article also includes quantitative investigation several SDN custom scenarios using Mininet, as well thorough More precisely, we give evaluation their attributes classify categorize 13 according capabilities. Additionally, offer comprehensive emulation tool called Mininet-based assessment this study. Using six metrics—bandwidth, round- trip time, delay, jitter, packet loss, throughput—this work assesses five against two (uniform non-uniform host distribution). Our shows OpenDayLight performs best across all criteria, with exception loss round where Ryu excels. entire experiment, HyperFlow ONOS worst terms metrics. Finally, discuss detailed findings on performance. These experimental results decision-making guideline when selecting controller.

Language: Английский

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SO‐CPP: Sailfish optimization‐based controller placement in IoT‐enabled software‐defined wireless sensor networks

International Journal of Communication Systems, Journal Year: 2024, Volume and Issue: 37(9)

Published: March 21, 2024

Summary One of the expanding network topologies that is frequently utilized to improve development by successfully separating control plane and data software‐defined networking (SDN). In order function inside complex sensor networks, SDWSN system relies on centralized controller logic pulls global information. wireless networks (WSNs), using several SDN controllers known as a promising strategy due reliability performance considerations. However, numerous increases synchronization overhead between controllers. Consequently, it difficult research challenge discover best placement enhance WSN, subject maximum number calculated based overhead. This introduces novel technique overcome problem (CPP) optimizing multi‐constraints within networks. For selecting optimal placing them in an location, sailfish optimization (SO) introduced can search space maintain values throughout iteration. Then, node clustering performed fuzzy‐C‐means (FCM) technique, which reduce energy consumption path delay network. The overall latency obtained proposed method about 0.51 0.56 ms, total run time 4 ms for both single sink multi‐sink, respectively. implemented MATLAB platform, different metrics are analyzed compared with existing techniques.

Language: Английский

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Intrusion Detection and Prevention System for Early Detection and Mitigation of DDoS Attacks in SDN Environment

2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS), Journal Year: 2024, Volume and Issue: unknown, P. 1 - 6

Published: Feb. 24, 2024

Software Defined Networking (SDN) introduced the third layer, known as control due to which management and updating of devices became easy. The layer in SDN provides an additional remote controlling feature devices, offers better over traditional hardware networks. Traditional networking uses a hardwired mechanism for apparatus, slow complicated approach. Unlike conventional networks, where every device needs be updated separately, Control handles all simultaneously. Only one command from can change, update, manage hundreds ONOS is most popular widely used Open Source controller. So far, efforts have been made improve performance availability fault tolerance than any other controller available. However, no security module Controller protect itself DDoS attacks. This paper Suricata Intrusion Prevention System (IPS) mitigate these web-based Wireshark statistics showed that our experimental study removed malicious traffic sent toward layer. first actively detects mitigates Controller.

Language: Английский

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Open-Source Software Defined Networking Controllers: State-of-the-Art, Challenges and Solutions for Future Network Providers

Computers, materials & continua/Computers, materials & continua (Print), Journal Year: 2024, Volume and Issue: 80(1), P. 747 - 800

Published: Jan. 1, 2024

Software Defined Networking (SDN) is programmable by separation of forwarding control through the centralization controller. The controller plays role 'brain' that dictates intelligent part SDN technology. Various versions controllers exist as a response to diverse demands and functions expected them. There are several available in open market besides large number commercial controllers; some developed meet carrier-grade service levels one recent trends open-source Open Network Operating System (ONOS). This paper presents comparative study between source controllers, which known Controller Platform (NOX), Python-based (POX), component-based framework (Ryu), Java-based OpenFlow (Floodlight), OpenDayLight (ODL) ONOS. discussion further extended into ONOS architecture, well as, evolution controllers. article will review use cases based on application deployments. Moreover, opportunities challenges be discussed, exploring for future real-world deployments, unique features identifying suitable choice providers. In addition, we attempt provide answers critical questions relating implications nature regarding vendor lock-in, interoperability, standards compliance, Similarly, organizations using highlighted how community contributes development Furthermore, faced projects, considerations when choosing an underscored. Then Artificial Intelligence (AI) Machine Learning (ML) light research indicated. limitations associated with deploying production networks, can they mitigated, finally handle network security ensure configurations policies robust resilient presented. Potential deployment outlined conclude article.

Language: Английский

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