Hybrid Programming-Based Scheduling Approach for Many Heterogeneous Computing Tasks With Asynchronous Generation in IIoT

Industrial Internet of Things (IIoT) plays a crucial role in advancing smart manufacturing by connecting numerous devices, enabling data exchanges, and supporting industrial applications. Yet, the timely and proper scheduling of asynchronously generated heterogeneous computing tasks (HCTs) in IIoT e...

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Vydané v:	IEEE internet of things journal Ročník 12; číslo 15; s. 29384 - 29396
Hlavní autori:	Hu, Bingtao, Zhong, Ruirui, Wang, Yong, Wang, Tianyue, Feng, Yixiong, Zhou, MengChu, Tan, Jianrong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.08.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Cloud computing Completion time Computation Computational modeling Computing task Constraints Data exchange Dynamic scheduling Feasibility Heuristic algorithms Industrial applications Industrial Internet of Things Industrial Internet of Things (IIoT) Job shop scheduling Mathematical models Mathematical programming Optimal scheduling optimization Processor scheduling Scheduling
ISSN:	2327-4662, 2327-4662
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