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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Book 2021utomation, better quality, and improved productivity. The authors discuss how it thus enables companies to cope with the challenges of producing increasingly individualized products with a short lead-time to market and higher quality. The authors posit that intelligent cloud services and resource sh

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DUET Analysis of Grades and SETs,configuration and self-healing play a vital role. In this chapter, different meta-heuristic algorithms are initially classified based on different parameters and then they are described. A comparative analysis in the form of a table is also proposed which gives a clear classification among all.

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Optimization in Autonomic Computing and Resource Management,configuration and self-healing play a vital role. In this chapter, different meta-heuristic algorithms are initially classified based on different parameters and then they are described. A comparative analysis in the form of a table is also proposed which gives a clear classification among all.

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串通

2522-8595 ook features chapters based on the characteristics of autonomic computing with its applicability in CRM.  Each chapter features the techniques and analysis of each mechanism to make better resource management in cloud. .978-3-030-71758-2978-3-030-71756-8Series ISSN 2522-8595 Series E-ISSN 2522-8609

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https://doi.org/10.1007/978-1-4939-0826-4broad overview that outlines the important concerns pertaining to the foundation of cloud computing, core concepts that make the cloud a revolutionary technology, and brief evolution with the responses to why the cloud is so sticky technology. Since resource allocation and management is one of the k

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