Determinacy-Oriented Task Offloading Scheduling Against DoS Attack for TSN-Based Edge Computing Architecture

计算机科学 确定性 调度(生产过程) 建筑 边缘计算 任务(项目管理) 处理器调度 分布式计算 嵌入式系统 计算机体系结构 计算机网络 工程类 物联网 数学 数学优化 系统工程 资源(消歧) 视觉艺术 艺术 数学分析
作者
Xin Li,Yingxiu Chen,Meihan Lin,Yonghui Liang,Cailian Chen,Qimin Xu,Xinping Guan
出处
期刊:IEEE Transactions on Industrial Informatics [Institute of Electrical and Electronics Engineers]
卷期号:20 (5): 7449-7458 被引量:3
标识
DOI:10.1109/tii.2024.3359449
摘要

The increasing scale of industrial production is leading to a greater demand for communication and computing capabilities, thereby increasing the likelihood of resource competition and conflict. This can cause stochastic overall task latency (including communication and computing latency), resulting in the occurrence of overdue tasks. To guarantee deterministic delays, the integration of edge computing (EC) with time-sensitive networking (TSN) emerges as a promising technology. However, the deterministic feature of TSN increases vulnerabilities to attacks within this integration. Particularly, uncertain denial-of-service (DoS) attacks can exhaust system resources and disrupt determinacy, causing prolonged delays, or communication failures. To this end, this article proposes an attack-tolerant TSN-based edge computing (TSN-EC) architecture to guarantee task determinacy. Based on the architecture, a task-level no-wait scheduling mechanism of TSN is proposed under packet switching mode, which ensures deterministic communication delays. A robust and deterministic task offloading scheduling (RDTOS) strategy is developed to minimize the number of overdue tasks by identifying the worst-case scenario of uncertain DoS attacks, considering each task's importance. To reduce computational complexity, a two-layer decomposition algorithm is proposed by further decomposing the master problem of the conventional C-CG algorithm. Experimental results conducted on a TSN-EC testbed demonstrate the superiority of the RDTOS strategy in enhancing security and providing overall task determinacy compared to related algorithms.
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