Delay Bounded Multi-Source Multicast in Software-Defined Networking

Semong, Thabo; Xie, Kun; Zhou, Xuhui; Singh, Hemant Kumar; Li, Zhetao

doi:10.3390/electronics7010010

Cited by 4 publications

(2 citation statements)

References 29 publications

(40 reference statements)

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“…It is this abstraction in software that enables the two technologies to cope with the failings of traditional networks. SDN further allows for the configuration and running of the network to be defined and modified via programming, thus adding programmability to the network [11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

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Intelligent Load Balancing Techniques in Software Defined Networks: A Survey

et al. 2020

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In the current technology driven era, the use of devices that connect to the internet has increased significantly. Consequently, there has been a significant increase in internet traffic. Some of the challenges that arise from the increased traffic include, but are not limited to, multiple clients on a single server (which can result in denial of service (DoS)), difficulty in network scalability, and poor service availability. One of the solutions proposed in literature, to mitigate these, is the use of multiple servers with a load balancer. Despite their common use, load balancers, have shown to have some disadvantages, like being vendor specific and non-programmable. To address these disadvantages and improve internet traffic, there has been a paradigm shift which resulted in the introduction of software defined networking (SDN). SDN allows for load balancers that are programmable and provides the flexibility for one to design and implement own load balancing strategies. In this survey, we highlight the key elements of SDN and OpenFlow technology and their effect on load balancing. We provide an overview of the various load balancing schemes in SDN. The overview is based on research challenges, existing solutions, and we give possible future research directions. A summary of emulators/mathematical tools commonly used in the design of intelligent load balancing SDN algorithms is provided. Finally, we outline the performance metrics used to evaluate the algorithms.

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Section: Introductionmentioning

confidence: 99%

“…We then finally conclude the paper in Section 6. Overview of software defined networking (SDN) architecture with its main planes: data, control, and application planes, and the communication channels [15].…”

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confidence: 99%