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  • 标题:In-Network Data Processing in Software-Defined IoT with a Programmable Data Plane
  • 本地全文:下载
  • 作者:Ki-Wook Kim ; Sung-Gi Min ; Youn-Hee Han
  • 期刊名称:Mobile Information Systems
  • 印刷版ISSN:1574-017X
  • 出版年度:2018
  • 卷号:2018
  • DOI:10.1155/2018/8618267
  • 出版社:Hindawi Publishing Corporation
  • 摘要:Making an SDN data plane flexible enough to satisfy the various requirements of heterogeneous IoT applications is very desirable in terms of software-defined IoT (SD-IoT) networking. Network devices with a programmable data plane provide an ability to dynamically add new packet- and data-processing procedures to IoT applications. The previously proposed solutions for the addition of the programmability feature to the SDN data plane provide extensibility for the packet-forwarding operations of new protocols, but IoT applications need a more flexible programmability for in-network data-processing operations (e.g., the sensing-data aggregation from thousands of sensor nodes). Moreover, some IoT models such as OMG DDS, oneM2M, and Eclipse SCADA use the publish-subscribe model that is difficult to represent using the operations of the existing message-centric data-plane models. We introduce a new in-network data-processing scheme for the SD-IoT data plane that defines an event-driven data-processing model that can express a variety of in-network data-processing cases in the SD-IoT environment. Also, the proposed model comprises a language for the programming of the data-processing procedures, while a flexible data-plane structure that can install and execute the programs at runtime is additionally presented. We demonstrate the flexibility of the proposed scheme by using sample programs in a number of example SD-IoT cases.
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