標(biāo)題: Titlebook: Autonomic Computing in Cloud Resource Management in Industry 4.0; Tanupriya Choudhury,Bhupesh Kumar Dewangan,Nguyen Book 2021 Springer Na [打印本頁] 作者: gratuity 時(shí)間: 2025-3-21 18:03
書目名稱Autonomic Computing in Cloud Resource Management in Industry 4.0影響因子(影響力)
書目名稱Autonomic Computing in Cloud Resource Management in Industry 4.0影響因子(影響力)學(xué)科排名
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書目名稱Autonomic Computing in Cloud Resource Management in Industry 4.0網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Autonomic Computing in Cloud Resource Management in Industry 4.0被引頻次
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書目名稱Autonomic Computing in Cloud Resource Management in Industry 4.0年度引用學(xué)科排名
書目名稱Autonomic Computing in Cloud Resource Management in Industry 4.0讀者反饋
書目名稱Autonomic Computing in Cloud Resource Management in Industry 4.0讀者反饋學(xué)科排名
作者: 吞下 時(shí)間: 2025-3-22 00:06
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作者: maladorit 時(shí)間: 2025-3-22 02:20
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.作者: grounded 時(shí)間: 2025-3-22 05:08
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.作者: 占線 時(shí)間: 2025-3-22 11:26 作者: 串通 時(shí)間: 2025-3-22 13:00
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 作者: multiply 時(shí)間: 2025-3-22 18:49 作者: 財(cái)產(chǎn) 時(shí)間: 2025-3-22 23:17 作者: Mast-Cell 時(shí)間: 2025-3-23 02:59
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作者: abduction 時(shí)間: 2025-3-23 07:23 作者: Original 時(shí)間: 2025-3-23 13:00 作者: Limpid 時(shí)間: 2025-3-23 15:42 作者: dilute 時(shí)間: 2025-3-23 20:17
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.作者: 使糾纏 時(shí)間: 2025-3-24 01:08 作者: Accomplish 時(shí)間: 2025-3-24 03:26
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作者: 思鄉(xiāng)病 時(shí)間: 2025-3-24 08:22
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作者: mortuary 時(shí)間: 2025-3-24 12:58 作者: LATE 時(shí)間: 2025-3-24 17:17 作者: 小教堂 時(shí)間: 2025-3-24 22:18 作者: Ledger 時(shí)間: 2025-3-25 02:52
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作者: 寄生蟲 時(shí)間: 2025-3-25 05:10 作者: 防止 時(shí)間: 2025-3-25 07:57
Grades and Student Evaluations of Teaching, cloud human entities and, as per the available statistics, electricity consumption will hike from 632 to 1963 Billion Kilo Watt Hours by the end of 2020 and CO. emission would be ~1034 megatons. Although it has encapsulated the research focus, and many heuristics have been proposed in this directio作者: 瑣碎 時(shí)間: 2025-3-25 12:55
Grades and Student Course Selection,gy, and availability. Virtual machine scaling technique can be implemented through two methods: horizontal scaling and vertical scaling. The modes or policies which are generally used for VM scaling are categorized as: reactive mode, proactive mode, and combination of both reactive and proactive mod作者: Medicaid 時(shí)間: 2025-3-25 18:57
Validity of Student Evaluations of Teaching, a scenario, a question arises that how to handle and alleviate such issues and challenges efficiently and effectively through effective deployment and management of the computing resources over cloud? Dynamic resource management handles the issues related to deploying, configuring, provisioning, re作者: Stagger 時(shí)間: 2025-3-25 20:37
Studies in Fuzziness and Soft Computingnal intelligence referring to the capabilities and aspects of autonomic computing; those are self-healing, self-configuring, self-optimization, and self-protecting; thus pointers for innovation and applied research作者: quiet-sleep 時(shí)間: 2025-3-26 02:43 作者: AORTA 時(shí)間: 2025-3-26 07:53 作者: 發(fā)酵劑 時(shí)間: 2025-3-26 09:11 作者: 熱心助人 時(shí)間: 2025-3-26 14:20 作者: predict 時(shí)間: 2025-3-26 18:57
Issues and Challenges in Autonomic Computing and Resource Management, removal of existing ones, or any other dramatic changes in the system. Dynamic adaptation helps ensure continuous strength and productivity of the IT infrastructure, resulting in business growth and flexibility. The self-healing attribute enables autonomic systems to discover, diagnose, and react t作者: 最高峰 時(shí)間: 2025-3-26 23:09
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.作者: FACET 時(shí)間: 2025-3-27 03:09 作者: amphibian 時(shí)間: 2025-3-27 09:16
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作者: Rebate 時(shí)間: 2025-3-27 12:38 作者: 整潔漂亮 時(shí)間: 2025-3-27 13:44 作者: 反抗者 時(shí)間: 2025-3-27 19:59
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作者: 高原 時(shí)間: 2025-3-27 23:46
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作者: Concomitant 時(shí)間: 2025-3-28 05:35 作者: Clinch 時(shí)間: 2025-3-28 10:05
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作者: 靈敏 時(shí)間: 2025-3-28 11:58 作者: 宇宙你 時(shí)間: 2025-3-28 17:50
Virtual Machine Scaling in Autonomic Cloud Resource Management,gy, and availability. Virtual machine scaling technique can be implemented through two methods: horizontal scaling and vertical scaling. The modes or policies which are generally used for VM scaling are categorized as: reactive mode, proactive mode, and combination of both reactive and proactive mod作者: FLACK 時(shí)間: 2025-3-28 19:22
Autonomic Resource Management in a Cloud-Based Infrastructure Environment, a scenario, a question arises that how to handle and alleviate such issues and challenges efficiently and effectively through effective deployment and management of the computing resources over cloud? Dynamic resource management handles the issues related to deploying, configuring, provisioning, re作者: JAMB 時(shí)間: 2025-3-28 23:35 作者: 運(yùn)動(dòng)吧 時(shí)間: 2025-3-29 04:11
Introduction to Cloud Resource Management,ms from software downloaded to their computer or server. Cloud computing allows access to the same applications through the Internet. cloud computing has brought down the cost involved in computing. Users can avail resources and services according to their need. This ability to access information an作者: machination 時(shí)間: 2025-3-29 09:18 作者: 一致性 時(shí)間: 2025-3-29 13:17 作者: predict 時(shí)間: 2025-3-29 17:58
Autonomic Computing: Models, Applications, and Brokerage,omputing domains and subdomains to create a self-driven, self-healing, and self-manageable computing environment. The possible integration, exploration, and hybridization toward the development of the new models and applications are new knowledge contributions. Modeling is a conceptualization of aut作者: ESPY 時(shí)間: 2025-3-29 20:13 作者: white-matter 時(shí)間: 2025-3-30 03:49 作者: 有害處 時(shí)間: 2025-3-30 07:37
Resource Management Issues and Challenges in Autonomic Computing,re the systems will oversee themselves per the goals specified by the humans. Its objective is simply the improvement of systems which include self-designing, self-healing, self-ensuring, and self-optimizing. Autonomic computing is an idea that unites numerous fields of computing to make systems tha作者: PHAG 時(shí)間: 2025-3-30 10:39
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作者: 固定某物 時(shí)間: 2025-3-30 14:09
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作者: insular 時(shí)間: 2025-3-30 17:40
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,作者: lattice 時(shí)間: 2025-3-30 23:29
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作者: assent 時(shí)間: 2025-3-31 04:48
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作者: babble 時(shí)間: 2025-3-31 07:24 作者: Pandemic 時(shí)間: 2025-3-31 09:51 作者: 永久 時(shí)間: 2025-3-31 15:52 作者: 密切關(guān)系 時(shí)間: 2025-3-31 20:30 作者: Palate 時(shí)間: 2025-3-31 23:09
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作者: QUAIL 時(shí)間: 2025-4-1 05:19 作者: 事與愿違 時(shí)間: 2025-4-1 07:13
Digital Dimensions of Industry 4.0: Opportunities for Autonomic Computing and Applications,current state where the processes are completely automated and are still continuing to a new horizon. A game-changer adoption of the technology of “autonomic computing” supports industrial systems from deep inside and helps sustain with the ever-increasing complexity of systems, helps in customizati作者: 靈敏 時(shí)間: 2025-4-1 13:46
The Patrick Moore Practical Astronomy Seriesms from software downloaded to their computer or server. Cloud computing allows access to the same applications through the Internet. cloud computing has brought down the cost involved in computing. Users can avail resources and services according to their need. This ability to access information an
