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Titlebook: Autonomic Computing in Cloud Resource Management in Industry 4.0; Tanupriya Choudhury,Bhupesh Kumar Dewangan,Nguyen Book 2021 Springer Na

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發(fā)表于 2025-3-23 13:00:17 | 只看該作者
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發(fā)表于 2025-3-23 20:17:43 | 只看該作者
Susana C. López,Francesc A. Muntaner-Batle4.0 such as (1) interoperability of data in open ecosystems, (2) autonomous decision-making capabilities, (3) efficient design to promise safety and sustainability, and (4) market risks and vulnerability associated with the malicious attacks.
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發(fā)表于 2025-3-24 01:08:16 | 只看該作者
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發(fā)表于 2025-3-24 03:26:10 | 只看該作者
https://doi.org/10.1007/978-3-030-52946-8arious apparatuses and test systems accessible for research in the booking are likewise talked about. The diverse ideal techniques for distributing the resources utilized by the significant cloud suppliers in the business are canvassed in detail. With the approach of fourth modern unrest, numerous n
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發(fā)表于 2025-3-24 08:22:03 | 只看該作者
Grades and Student Course Selection,anual control by providing an economical and robust solution in minimum time. As a result, autonomic computing has observed its widespread application since its inception. The proposed chapter focuses on the various aspects of autonomic computing like self-healing, self-optimization, self-protection
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發(fā)表于 2025-3-24 12:58:50 | 只看該作者
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發(fā)表于 2025-3-25 02:52:48 | 只看該作者
Grades and Student Evaluations of Teaching, Industry 4.0 is allowing users to access many services on an on-demand basis, but the only restriction is that this service is based on pay-per-use means if the user wants to use these services, but they have to pay something as these resources are not free to use. Now, this chapter focuses on some
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