ProgLab: Programmable labels for QoS provisioning on software defined networks

Froes, Wallas; Santos, L.A. dos; Sampaio, Leobino N.; Martinello, Magnos; Liberato, Alextian B.; Villaça, Rodolfo da Silva

doi:10.1016/j.comcom.2020.07.026

Cited by 7 publications

(3 citation statements)

References 8 publications

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“…Studies using actual controllers and switches have also been conducted. Froes et al [7] proposed control support for flows using programmable labels as a method of providing QoS in an SDN environment. When multiple flows are generated by changing headers using programmable labels, the QoS is supported by modifying ports to match QoS policies, and core switches are implemented using the language P4 to test the QoS performance of video streams.…”

Section: Qos Support In Single-domain Sdnmentioning

confidence: 99%

“…In Equation (7), sup(•) represents the supremum or least upper bound [46] and E[•] represents the expected value of the argument, and E[e θX ] is defined when X 0 ∈ X s as a moment generator function of random variable X defined for any θ:…”

Section: Pr(supmentioning

confidence: 99%

“…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. Several studies have been conducted to provide QoS in single-domain SDN networks [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

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

Lee

Roh

2022

Electronics

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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.

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Section: Qos Support In Single-domain Sdnmentioning

confidence: 99%

Section: Pr(supmentioning

confidence: 99%