A Survey of Quality of Service (QoS) Protocols and Software-Defined Networks (SDN)

Al-Haddad, Ronak; Velazquez, Erika Sanchez

doi:10.1007/978-3-030-01177-2_38

Cited by 3 publications

(2 citation statements)

References 42 publications

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“…The fast broadening of the Internet and the rise in traffic levels make it a little difficult for users to benefit from stable service quality [1]. Users inquire about a network to support various service levels, unlike today's Internet, which works based on a single best-effort service level [2]. End-to-end QoS on the Internet can be broken down into a number of categories, such as End-user QoS, ISP network QoS, and Internet backbone QoS.…”

Section: Introductionmentioning

confidence: 99%

Performance Assessment of QoS metrics in Software Defined Networking using Floodlight Controller

Hamad,

Yalda,

ÈšÄƒpuÈ™

2023

JOIV : Int. J. Inform. Visualization

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The quality of service is not the same in all parts of the network. Some areas experience a low level and others a higher level of fixed quality services. The shortcomings in legacy networks encouraged researchers to find a new paradigm of the network to obviate legacy networks' deficiencies. The effort to create network services is called Quality of Service (QoS). Software-Defined Networking (SDN) focuses on separating the control layer from the data layer, and their communication is done through a central controller named SDN controller. After separation, the data layer moves the packets through the network according to the commands it receives from the controller. The controller obtains applications (QoS requests), translates them to low-level instructions, and implements them in the data layer. In this paper, we create an infrastructure for Quality of Service (QoS) in tree topology using a meter table per flow in Software Defined Networking Floodlight open-source controller. Meters are introduced into the OpenFlow protocol version 1.3, which calculates the packet rates allocated to them and allows control of those packet rates. Meters are directly connected to flow entry. Any flow entry can determine a meter in its command collection, which calculates and supervises the sum of all flow entries to which it is connected. When we get statistics from the meter table in each switch, we manage the network and affect the routing algorithms.

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Section: Introductionmentioning

confidence: 99%

Performance Assessment of QoS metrics in Software Defined Networking using Floodlight Controller

Hamad,

Yalda,

ÈšÄƒpuÈ™

2023

JOIV : Int. J. Inform. Visualization

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“…Furthermore, this separation would allow for them to treat network protocols and services as software. The data plane aims to receive information and requests from the control plane and implement them in the hardware as needed [5] [6].…”

Section: Introductionmentioning

confidence: 99%

A Novel Traffic Shaping Algorithm for SDN-Sliced Networks using a New WFQ Technique

Al-Haddad¹,

Velazquez²,

Fatima³

et al. 2021

IJACSA

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Managing traditional networks comes with number of challenges due to their limitations, in particular, because there is no central control. Software-Defined Networking (SDN) is a relatively new idea in networking, which enables networks to be centrally controlled or programmed using software applications. Novel traffic shaping (TS) algorithms are proposed for the implementation of a Quality of Service (QoS) bandwidth management technique to optimise performance and solve network congestion problems. Specifically, two algorithms, namely "Packet tagging, Queueing and Forwarding to Queues" and "Allocating Bandwidth", are proposed for implementing a Weighted Fair Queuing (WFQ) technique, as a new methodology in an SDN-sliced testbed to reduce congestion and facilitate a smooth traffic flow. This methodology aimed at improving QoS that does two things simultaneously, first, making traffic conform to an individual rate using WFQ to make the appropriate queue for each packet. Second, the methodology is combined with buffer management, which decides whether to put the packet into the queue according to the proposed algorithm defined for this purpose. In this way, the latency and congestion remain in check, thus meeting the requirements of real-time services. The Differentiated Service (DiffServ) protocol is used to define classes in order to make network traffic patterns more sensitive to the video, audio and data traffic classes, by specifying precedence for each traffic type. SDN networks are controlled by floodlight controller(s) and FlowVisor, the slicing controller, which characterise the behaviour of such networks. Then, the network topology is modelled and simulated via the Mininet Testbed emulator platform. To achieve the highest level of accuracy, The SPSS statistical package Analysis of Variance (ANOVA) is used to analyse particular traffic measures, namely throughput, delay and jitter as separate performance indices, all of which contribute to QoS. The results show that the TS algorithms do, indeed, permit more advanced allocation of bandwidth, and that they reduce critical delays compared to the standard FIFO queueing in SDN.

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Encrypted Traffic characterization using None Zero payload and Payload Ratio Characteristics

Satrabhandhu

Tritilanunt

2021

2021 25th International Computer Science and Engineering Conference (ICSEC)

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A Survey of Quality of Service (QoS) Protocols and Software-Defined Networks (SDN)

Cited by 3 publications

References 42 publications

Performance Assessment of QoS metrics in Software Defined Networking using Floodlight Controller

Performance Assessment of QoS metrics in Software Defined Networking using Floodlight Controller

A Novel Traffic Shaping Algorithm for SDN-Sliced Networks using a New WFQ Technique

Encrypted Traffic characterization using None Zero payload and Payload Ratio Characteristics

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