The proliferation of smart devices has led to a huge amount of data streaming in the Internet of Things (IoT). However, the resource-limited devices cannot satisfy the demands of computing-in-tensive but delay-sensitive applications. The data delivery among devices may be tampered with by malicious users. These pose new challenges to provide secure and intelligent services in IoT. Blockchain and reinforcement learning (RL) are promising techniques for establishing a secure environment and intelligent resource management. In this article, we introduce a novel software defined networking (SDN)-enabled architecture for edge-cloud orchestrated computing to support secure and intelligent services in IoT. We first introduce the SDN-enabled architecture by integrating cloud computing, edge computing, and IoT networks. Then we provide several applications of SDN-enabled architecture in edge-cloud orchestrated computing. Next, we propose the blockchain and RL envisioned solutions to implement secure and intelligent services in IoT. Moreover, a case study of blockchain- and RL-enabled secure and intelligent computing offloading is presented to validate its effectiveness. We finally provide our conclusion and discuss several promising research directions.

中文翻译：

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物联网边缘云计算的软件定义网络支持方法


智能设备的激增导致物联网 (IoT) 中产生大量数据流。然而，资源有限的设备无法满足计算密集型但延迟敏感的应用程序的需求。设备之间的数据传递可能会被恶意用户篡改。这些对在物联网中提供安全、智能的服务提出了新的挑战。区块链和强化学习（RL）是建立安全环境和智能资源管理的有前途的技术。在本文中，我们介绍了一种新颖的软件定义网络（SDN）支持架构，用于边缘云编排计算，以支持物联网中的安全和智能服务。我们首先通过集成云计算、边缘计算和物联网网络来引入支持SDN的架构。然后我们提供了SDN架构在边缘云编排计算中的几个应用。接下来，我们提出区块链和强化学习设想的解决方案，以在物联网中实施安全和智能服务。此外，还提出了基于区块链和强化学习的安全智能计算卸载的案例研究，以验证其有效性。我们最后给出了我们的结论并讨论了几个有前途的研究方向。