A Systematic Review of Quality of Services (QoS) in Software Defined Networking (SDN)

Czachórski

2021

Sensors

The increasing use of Software-Defined Networks brings the need for their performance analysis and detailed analytical and numerical models of them. The primary element of such research is a model of a SDN switch. This model should take into account non-Poisson traffic and general distributions of service times. Because of frequent changes in SDN flows, it should also analyze transient states of the queues. The method of diffusion approximation can meet these requirements. We present here a diffusion approximation of priority queues and apply it to build a more detailed model of SDN switch where packets returned by the central controller have higher priority than other packets.

Section: Introduction and An Overview Of Existing Resultsmentioning

confidence: 99%

Diffusion Model of Preemptive-Resume Priority Systems and Its Application to Performance Evaluation of SDN Switches

Czachórski

2021

Sensors

Concurrency and Computation

“…SDN: SDN is a technological shift and decouples the control and data plane. 6 Control plane is handled solely by the controller working like a centralized hub. Data plane devices gets the control plane information from the controller through protocols like OpenFlow, overlay management protocol (OMP) 7 and so forth.…”

Section: Introductionmentioning

confidence: 99%

“…SDN: SDN is a technological shift and decouples the control and data plane 6 . Control plane is handled solely by the controller working like a centralized hub.…”

Section: Introductionmentioning

confidence: 99%

An extensive vulnerability assessment and countermeasures in open network operating system software defined networking controller

Singh

Kaur

2022

Software defined networking (SDN) is the technology that has changed the design and deployment architecture of networks with its benefits like centralization, application awareness, programmability and so forth. But security is one aspect, which needs to be continuously revised according to the new vulnerabilities or bugs found in the network.In this article, penetration testing or vulnerability assessment has been performed on ONOS SDN controller with both single and clustered controller environments. Penetration testing has been performed using DELTA framework, which is solely built for SDN. Apart from using DELTA, python scripting and some popular DDoS tools like Hping3, Nping and Xerxes, are used to perform DDoS (TCP SYN and HTTP) vulnerability assessment. A total of 13 known and unknown vulnerabilities were found with impact of six each listed in high, and medium, while one vulnerability has low-impact.The impact level is measured using common vulnerability scoring system (CVSS) 3.1.Vulnerabilities have been found on the ONOS deployments with default parameters and results achieved can be used to strengthen the security of ONOS SDN controller.Our research puts major emphasis on finding both known and unknown vulnerabilities in ONOS SDN controller and their countermeasures to prevent or mitigate these vulnerabilities.

“…Software Defined Networking (SDN) technology, which operates a network by separating the control and data planes, has been shown to solve these problems and efficiently perform network configuration, control, and management. SDN switches operate in the data plane to forward packets according to the flow table information provided by the SDN controller in the control plane [2], which makes it easier to ensure Quality of Service (QoS) and recover from failures compared with traditional networks [3,4]. As the number of terminals and the various types of data served through the network have increased, QoS support is also an essential issue in the management of SDN networks.…”

Section: Introductionmentioning

confidence: 99%

QoS Support Path Selection for Inter-Domain Flows Using Effective Delay and Directed Acyclic Graph in Multi-Domain SDN

Lee

Roh

2022

Electronics

Currently, network applications, such as audio, video, and augmented reality, have different stringent service requirements. They require service provision through end-to-end connections via other networks with different operating environments or service conditions. Therefore, network operators require information on their own and other networks to provide end-to-end services traversing several networks while guaranteeing their quality of service (QoS) requirements. This study proposes an inter-domain flow decision method that satisfies QoS requirements using a directed acyclic graph (DAG) in multi-domain and hierarchical software defined networking (SDN) networks. There are multiple local networks with SDN controllers that are connected to the global SDN controller. The flow decision in the proposed method is based on the effective bandwidth theory of the martingale process. The effectiveness of the proposed method is demonstrated by comparing it with existing SDN-based path selection methods using the Riverbed Modeler (older, OPNET) and OpenDaylight SDN controllers.