Enhancing and Measuring the Performance in Software Defined Networking

Hossain, Md. Alam; Sheikh, Mohammad Nowsin Amin; Rahman, Shawon S. M.; Biswas, Sujan; Arman, Md. Ariful Islam

doi:10.5121/ijcnc.2018.10502

Cited by 8 publications

(8 citation statements)

References 14 publications

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“…A number of researchers have explored the creation and execution of the desired SDN environment scenario utilizing FloodLight [46,59,87], OpenDayLight [90], ONOS [47,68], NOX [69] and Beacon controllers [76].…”

Section: Mininet and Mininet Based Studymentioning

confidence: 99%

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

Sheikh,

Hwang,

Raza

et al. 2024

Computers

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An alternative networking approach called Software Defined Networking (SDN) enables dynamic, programmatically efficient network construction, hence enhancing network performance. It splits a traditional network into a centralized control plane and a configurable data plane. Because the core component overseeing every data plane action is the controller in the control plane, which may contain one or more controllers and is thought of as the brains of the SDN network, controller functionality and performance are crucial to achieve optimal performances. There is much controller research available in the existing literature. Nevertheless, no qualitative comparison study of OpenFlow-enabled distributed but logically centralized controllers exists. This paper includes a quantitative investigation of the performance of several distributed but logically centralized SDN controllers in custom network scenarios using Mininet, as well as a thorough qualitative comparison of them. More precisely, we give a qualitative evaluation of their attributes and classify and categorize 13 distributed but logically centralized SDN controllers according to their capabilities. Additionally, we offer a comprehensive SDN emulation tool, called Mininet-based SDN controller performance assessment, in this study. Using six performance metrics—bandwidth, round-trip time, delay, jitter, packet loss, and throughput—this work also assesses five distributed but logically centralized controllers within two custom network scenarios (uniform and non-uniform host distribution). Our analysis reveals that the Ryu controller outperforms the OpenDayLight controller in terms of latency, packet loss, and round-trip time, while the OpenDayLight controller performs well in terms of throughput, bandwidth, and jitter. Throughout the entire experiment, the HyperFlow and ONOS controllers performed worst in all performance metrics. Finally, we discuss detailed research findings on performance. These experimental results provide decision-making guidelines when selecting a controller.

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Section: Mininet and Mininet Based Studymentioning

confidence: 99%

“…Using Mininet Simulator, analysis and assessment were performed on several aspects such as throughput, latency, packet loss, jitter, bandwidth usage, etc. We used Mininet to investigate a number of SDN controllers in our preliminary research [69,70,78,88]. We took into consideration a custom topology network situation.…”

Section: Mininet and Mininet Based Studymentioning

confidence: 99%

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

Sheikh,

Hwang,

Raza

et al. 2024

Computers

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“…The two key performance indicators extensively studied in numerous researchs in the realm of SDN controllers are throughput and latency (Comer & Rastegarnia, 2019). Throughput relates to network function performance, speci cally the number of Open-Flow streams the controller is capable of processing per second, whereas latency measures the controller reaction time to a PACKET IN message received from a switch (Hossain et al, 2018). Memory Performance -E ciently managing RAM consumption is a vital aspect in the performance of any computer system, especially when resources are restricted.…”

Section: Background and Related Workmentioning

confidence: 99%

Performance Evaluation of Domain Isolation Multi-controller in Software Defined Networking Architecture on Mininet

Prakoso

Salman

Sari

et al. 2023

Preprint

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The growing digitalization of the automotive, transportation, urban mobility, and telecommunications industries highlights the significance of point-to-multipoint communication services. These services are essential for maximizing the efficiency of hardware and software resources and ensuring that users consistently receive software updates and communications. In order to implement precise and dependable point-to-multipoint distribution services within the network, software-defined networking (SDN) is used. SDN controllers like RYU, Floodlight, and others have become the de facto standard for operating these kinds of networks. An SDN multi-controller's efficiency greatly affects the underlying SDN infrastructure network's adaptability and capabilities. This research applied of Mininet emulator to develop a multi-controller SDN architecture with a Fat-Tree topology and two RYU controllers. Throughput, latency, and round-trip time are some of the node-to-node performance metrics that will be used to evaluate the effectiveness of a Domain Isolation Multi-controller network architecture.

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“…Unlike ELMs, FL methods provide high accuracy under limited node density and coverage conditions. M. Hossain, et. al.…”

Section: Literature Reviewmentioning

confidence: 99%

A Linguistic Study of Speech Comprehension and Production in Aphasic Speakers

2021

QZJ

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Distributed memory is a term used in computer science to describe a multiprocessor computer system in which each processor has its own private memory. Computational jobs can only work with local data, so if you need remote data, you'll have to communicate with one or more remote processors. Parallel and distributed computing are frequently used together. Distributed parallel computing employs many computing devices to process tasks in parallel, whereas parallel computing on a single computer uses multiple processors to execute tasks in parallel. Distributed systems are designed separately from the core network. There are different kinds of distributed systems such as peer-to-peer (P2P) networks, groups, grids, distributed storage systems. The multicore processor can be classified into two types: homogeneous and heterogeneous. This paper reviews the impact of the distributed-memory parallel processing approach on performance-enhancing of multicomputer-

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Enhancing and Measuring the Performance in Software Defined Networking

Cited by 8 publications

References 14 publications

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

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

Performance Evaluation of Domain Isolation Multi-controller in Software Defined Networking Architecture on Mininet

A Linguistic Study of Speech Comprehension and Production in Aphasic Speakers

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