An Enhanced Scheduling Framework for Elephant Flows in SDN-Based Data Center Networks

Huang, Bing; Dong, Shouling

doi:10.1109/iscc50000.2020.9219688

Cited by 5 publications

(1 citation statement)

References 17 publications

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“…However, the accuracy of this fuzzy logic model may depend on the appropriateness of parameter settings, which could require adjustments in varying network environments. Huang et al [42] rescheduled the ET passing through congested links to minimize the controller overhead. They also proposed an algorithm that dynamically adjusts the polling period according to the current network load and a probability-based path selection algorithm to improve the network throughput further.…”

Section: Other Methods Of Traffic Schedulingmentioning

confidence: 99%

Review of Load Balancing Mechanisms in SDN-Based Data Centers

Du,

Cui,

Tang

et al. 2024

JCC

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With the continuous expansion of the data center network scale, changing network requirements, and increasing pressure on network bandwidth, the traditional network architecture can no longer meet people's needs. The development of software defined networks has brought new opportunities and challenges to future networks. The data and control separation characteristics of SDN improve the performance of the entire network. Researchers have integrated SDN architecture into data centers to improve network resource utilization and performance. This paper first introduces the basic concepts of SDN and data center networks. Then it discusses SDN-based load balancing mechanisms for data centers from different perspectives. Finally, it summarizes and looks forward to the study on SDN-based load balancing mechanisms and its development trend.

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Section: Other Methods Of Traffic Schedulingmentioning

confidence: 99%