IoT Management Analysis Using SDN: Survey

Montaño-Blacio, Manuel; Torres, Rommel; Ludeña, Patricia; Sandoval, F.

doi:10.1007/978-3-030-71503-8_45

Cited by 5 publications

(2 citation statements)

References 51 publications

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“…Miss_Rate: Miss_rate in the table is the most important parameter to evaluate the performance of replacement FIGURE 4 The effect of λ on the performance (miss rate of flow table) of the proposed method (with a table size of 500) to selecting the best λ. Datasets are trace_file1 and trace_file2 methods. Missing means that packets that enter the switch do not match any entry and are therefore sent to the controller for forwarding.…”

Section: Implementation and Evaluationmentioning

confidence: 99%

“…The excellent properties of SDN make it much easier to collect, send, store, and process Big Data. SDN demonstrates that it can also benefit from big data such as traffic engineering [3], cross‐layer design, defence against security attacks, and SDN‐based intra‐datacentre and inter‐datacentre networks [4]. It is shown that OpenFlow‐enabled SDNs improve system performance for Hadoop‐based Big Data applications by fully taking advantage of cloud infrastructure opportunities and challenges and using OpenFlow's network control capabilities to resolve network congestion [5].…”

Section: Introductionmentioning

confidence: 99%

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An intelligent method for reducing the overhead of analysing big data flows in Openflow switch

et al. 2022

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Software‐defined networks have been developed to allow the entire network to be managed as a programmable entity. As a well‐known protocol in this field, OpenFlow installs new packet forwarding rules of the distinct packets of Big Data flows (known as flow entries) in the flow tables of network switches in order to implement the desired management policies. Despite the high speed, flow tables have limited capacity to store the information of Big Data flows. As a result of inefficient policy for replacing the entries of the flow table, lack of flow entries corresponding to the incoming packets in the flow table of the switch will increase the references to the controller for forwarding this packet as well as the amount of delay in packet forwarding. The underlying idea of the proposed method is to make use of the popularity of traffic flows in the table to select the intended flow for the replacement. For replacement of flow table entries, a novel and intelligent method is proposed in this research which uses a reference history of flows to assign an importance degree to each table entry. Comparison of the simulation results confirms the superiority of the method for reducing the controller's overflow.

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Section: Implementation and Evaluationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An intelligent method for reducing the overhead of analysing big data flows in Openflow switch

et al. 2022

View full text Add to dashboard Cite

show abstract

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2022

Software‐Defined Networking

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Impacts of blockchain in software‐defined Internet of Things ecosystem with Network Function Virtualization for smart applications: Present perspectives and future directions

Rahman

Islam

Kundu

et al. 2023

Int J Communication

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SummaryAs an emerging technology, blockchain (BC) has been playing a promising role in today's software‐defined networking (SDN)‐enabled Internet of Things (IoT) applications. Because of the salient feature of the network function virtualization (NFV) techniques, SDN can ensure an IoT system runs efficiently and smoothly in a cloud‐driven ecosystem. When cloud‐enabled systems encounter immense security and operational challenges caused mainly by third‐party dependency, large‐scale data communication, and maintenance, BC offers effective and robust data transfer solutions without incorporating intermediaries over the distributed network. With the increased SDN‐BC convergence in the IoT domain, the underlying challenges and perspectives deserve proper attention methodically and structurally. From the motivation of addressing such issues, this study provides necessary insights to combine those for successful plug‐and‐play. Therefore, the study includes purposefully investigating current state‐of‐the‐art to extract the research trends, future directions, and perspectives in this domain. This study provides a comprehensive survey of IoT, SDN, NFV, and BC‐enabled emerging technologies. More importantly, the authors intelligently integrated the four different technologies—IoT, SDN, BC, and NFV based on characteristics, scopes, challenges, taxonomies, and tables in numerous areas. Initially, the authors introduce the SDN‐IoT ecosystem in brief and address the features and applications. We took a close look at the SDN's overall taxonomy based on security, environment, scopes, and challenges. We also briefly describe the integration of SDN‐IoT with the NFV ecosystems. Moreover, we review the prospect of BC technology from security perspectives, its extent, challenges of practical implementation, and the possible integration of IoT regarding smart applications. Finally, this study highlights several future directions based on these technologies.

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IoT Management Analysis Using SDN: Survey

Cited by 5 publications

References 51 publications

An intelligent method for reducing the overhead of analysing big data flows in Openflow switch

An intelligent method for reducing the overhead of analysing big data flows in Openflow switch

References

Impacts of blockchain in software‐defined Internet of Things ecosystem with Network Function Virtualization for smart applications: Present perspectives and future directions

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