Load balancing researches in SDN: A survey

Li, Lin; Xu, Qiaozhi

doi:10.1109/iceiec.2017.8076592

Cited by 31 publications

(13 citation statements)

References 24 publications

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“…Moreover, researchers can also design algorithms with better performance by designing different underlying frameworks. Li and Xu [23] classified the load-balancing strategies in SDN based on different architectures. In the centralized architecture, a controller manages the connected network devices to concentrate the load-balancing work on the data plane.…”

Section: Flow Schedulingmentioning

confidence: 99%

Mixed-Flow Load-Balanced Scheduling for Software-Defined Networks in Intelligent Video Surveillance Cloud Data Center

et al. 2022

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As the large amount of video surveillance data floods into cloud data center, achieving load balancing in a cloud network has become a challenging problem. Meanwhile, we hope the cloud data center maintains low latency, low consumption, and high throughput performance when transmitting massive amounts of data. OpenFlow enables a software-defined solution through programing to control the scheduling of data flow in the cloud data center. However, the existing scheduling algorithm of the data center cannot cope with the congestion of the network center effectively. Even for some dynamic scheduling algorithms, adjustments can only be made after congestion occurs. Hence, we propose a proactive and dynamically adjusted mixed-flow load-balanced scheduling (MFLBS) algorithm, which not only takes into account the different sizes of flows in the network but also maintains maximum throughput while balancing the load. In this paper, the MFLBS problem was formulated, along with a set of heuristic algorithms for real-time feedback and adjustment. Experiments with mesh and tree network models show that our MFLBS is significantly better than other dynamic scheduling algorithms, including one-hop DLBS and static scheduling algorithm FCFS. The MFLBS algorithm can effectively reduce the delay of small flows and average delay while maintaining high throughput.

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Section: Flow Schedulingmentioning

confidence: 99%

Mixed-Flow Load-Balanced Scheduling for Software-Defined Networks in Intelligent Video Surveillance Cloud Data Center

et al. 2022

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“…One of the important aspects of SDN is that it provides a structured software environment for evolving network-wide abstractions while potentially making the data plane simple [1], [2]. In SDN, a logically centralized control plane functionally manages the network and abstracts the underlying network infrastructure to the applications [3].…”

Section: Overview Of Sdnmentioning

confidence: 99%

An SDN Architectural Framework for VANET Security and Data Storage

Priyadarsini¹,

Bera

Rout³

2022

Preprint

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Vehicular Ad hoc NETworks (VANETs) are an active area of research because of their potential to improve road safety and to enhance traffic efficiency. High dynamic connections, sensitive information sharing, and time-sensitivity nature of VANET make it an eye-catching field for attackers. Software-defined networking (SDN) can be used to implement any network, due to the separation of the control program and data plane. In this paper, we have proposed an SDN architectural framework to enhance the storage capacity and to provide security to prevent specific VANET attacks. The storage capacity is enhanced using B+ tree and the security to the storage is provided using X.509 public key certification. On the other hand, we have used signaling game-theoretic solutions in the architectural framework to prevent the attacks. The framework provides end-to-end security to the communication between devices of VANET. Experimentation results show efficient data retrieval with less computational complexity and 98% attack detection and prevention with high throughput and less delay.

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“…The survey by Karakus et al [23] focused on the QoS aspects in SDN. The other SDN survey focus areas include load balance [24]- [25], traffic engineering [26], resource allocation [27], test-bed for large-scale SDN [28] and energy [29] [30].…”

Section: A Why Are We Conducting the Survey On Cpp In Sdn?mentioning

confidence: 99%