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Security-Aware Dynamic Scheduling for Real-Time Optimization in Cloud-Based Industrial Applications

机译：基于云的工业应用中实时优化的安全感知动态调度

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摘要

Nowadays, large number of cloud-based techniques have been used in industrial control systems (ICS), which also brings many security threats. The emergence of security-aware industrial control has paved the way of security-aware scheduling in cloud-based industrial applications. Actually, most cloud-based industrial applications are time sensitive, which need real-time processing. Edge cloud computing paradigm extends the computing ability of traditional cloud model with low-latency local resources. Thus, heterogeneous clouds that consist of both centralized resources and edge resources may be a promising resource model to provide both scalable and low-latency resources for cloud-based industrial applications. In view of these challenges, in this article, we propose a security-aware dynamic scheduling method for real-time resource allocation in ICS. First, a three-level security model is designed for both tasks and cloud resources in ICS, and a two-tier heterogeneous cloud architecture is introduced. Accordingly, a security-aware scheduling method based on distributed particle swarm optimization is presented for resource allocation with security concerns. To deal with the dynamics of edge resources and the mobility of mobile industrial applications, a dynamic scheduling mechanism based on dynamic workflow model is proposed for real-time optimization. Experimental results validate that the scheduling control policy proposed in this article can achieve a good balance between scheduling performance and security performance.
机译：如今，工业控制系统（ICS）中使用了大量基于云的技术，这也带来了许多安全威胁。安全感知工业控制的出现已经铺平了基于云的工业应用中的安全意识调度的方式。实际上，基于云的大多数工业应用是时光敏感，需要实时处理。边缘云计算范例扩展了传统云模型与低延迟本地资源的计算能力。因此，由集中资源和边缘资源组成的异构云可以是有前途的资源模型，以提供基于云的工业应用的可扩展和低延迟资源。鉴于这些挑战，在本文中，我们提出了一种安全感知动态调度方法，用于IC中的实时资源分配。首先，为IC中的任务和云资源设计了三级安全模型，并介绍了双层异构云架构。因此，呈现了一种基于分布式粒子群优化优化的安全感知调度方法，用于资源分配与安全问题。为了处理边缘资源的动态和移动工业应用的移动性，提出了一种基于动态工作流模型的动态调度机制，用于实时优化。实验结果验证了本文提出的调度控制策略可以在调度性能和安全性能之间实现良好的平衡。

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