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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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31#
發(fā)表于 2025-3-26 23:09:19 | 只看該作者
A Holistic Approach: Issues and Challengesin Autonomic Computation Toward Industry 4.0,4.0 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.
32#
發(fā)表于 2025-3-27 03:09:06 | 只看該作者
33#
發(fā)表于 2025-3-27 09:16:57 | 只看該作者
Classification of Various Scheduling Approaches for Resource Management System in Cloud Computing,arious 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
34#
發(fā)表于 2025-3-27 12:38:43 | 只看該作者
35#
發(fā)表于 2025-3-27 13:44:44 | 只看該作者
36#
發(fā)表于 2025-3-27 19:59:12 | 只看該作者
Self-Protection Approach for Cloud Computing,curement of cloud services. These issues such as privacy, network security, and so on, will give rise to cybercrime. In India, there is no devoted regulatory framework, lack of privacy laws, inadequate data security, and so on, to maintain the same. The author will discuss (1) concept of cloud secur
37#
發(fā)表于 2025-3-27 23:46:02 | 只看該作者
Elastic Security for Autonomic Computing Using Intelligent Algorithm,ly applied to cloud environments. It is essential to secure the resources in cloud computing using cryptography operations as well as the key that secures the resources. The chapter addresses how key management is playing an important role in providing security of the cloud. The chapter mentions how
38#
發(fā)表于 2025-3-28 05:35:37 | 只看該作者
39#
發(fā)表于 2025-3-28 10:05:17 | 只看該作者
Towards Industry 4.0 Through Cloud Resource Management,rmance parameters assures the efficient management of resources. The chapter enlightens the concept of resource management in cloud computing within Industry 4.0. Different RM techniques, along with associated challenges, advantages, disadvantages, and performance parameters have been explained in d
40#
發(fā)表于 2025-3-28 11:58:21 | 只看該作者
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