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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Classification of Various Scheduling Approaches for Resource Management System in Cloud Computing,rces in a productive way assumes a crucial job behind the achievement of cloud computing and the expansion of Industry 4.0. There are different calculations for planning the undertaking with resources. The virtual machine, stockpiling, RAM, and CPU time are the various resources that should be overs

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Optimization in Autonomic Computing and Resource Management,ve and the user perspective. Many optimization algorithms have been introduced and redefined for the same. Every algorithm gives optimum results under certain conditions. When it comes to comparison among them, then no specific studies show that a particular algorithm behaves best in all types of pr

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A Proposed Framework for Autonomic Resource Management in Cloud Computing Environment,y led to fog computing. These technologies are continuously striving for increased computational capability so as to inculcate it in our daily lives and obtain ever larger infrastructures. However, inclusion of heterogeneous infrastructures in such systems poses different challenges like complexity,

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Autonomic Computing on Cloud Computing Using Architecture Adoption Models: An Empirical Review,is called autonomic computing. Thus, autonomous computing methodology was then used to build autonomous software systems. Autonomic computing is the ability of a computer to automatically handle itself through adaptive technologies that add computing capabilities and minimize the time taken by compu

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Self-Protection Approach for Cloud Computing,ty concerns are also gathering significant attention, including data protection, application integrity, network security, virtualization security, and identity management. Data protection is one of the most remarkable security issues since associations will not move their information to remote machi

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Virtual Machine Scaling in Autonomic Cloud Resource Management,such as memory, processor to be multiplexed among the guest operating system. It allows full utilization of the underlying hardware of the physical computer system. The guest operating systems that run over the host are called virtual machines. Sometimes, the load on these virtual machines may incre