Autonomic Computing In Cloud Resource Management In Industry 4 0
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Autonomic Computing in Cloud Resource Management in Industry 4.0 by Tanupriya Choudhury,Bhupesh Kumar Dewangan,Ravi Tomar,Bhupesh Kumar Singh,Teoh Teik Toe,Nguyen Gia Nhu Pdf
This book describes the next generation of industry—Industry 4.0—and how it holds the promise of increased flexibility in manufacturing, along with automation, 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 sharing play an important role in Industry 4.0 anticipated Fourth Industrial Revolution. This book serves the different issues and challenges in cloud resource management CRM techniques with proper propped solution for IT organizations. The book 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.
Machine Intelligence and Data Science Applications by Amar Ramdane-Cherif,T. P. Singh,Ravi Tomar,Tanupriya Choudhury,Jung-Sup Um Pdf
This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications (MIDAS 2022), held on October 28 and 29, 2022, at the University of Versailles—Paris-Saclay, France. The book covers applications in various fields like data science, machine intelligence, image processing, natural language processing, computer vision, sentiment analysis, and speech and gesture analysis. It also includes interdisciplinary applications like legal, healthcare, smart society, cyber-physical system, and smart agriculture. The book is a good reference for computer science engineers, lecturers/researchers in the machine intelligence discipline, and engineering graduates.
This book introduces Autonomic Computing. This concept is a cornerstone of IBM's strategic initiative, and it offers great promise because autonomic computing systems have the ability to manage themselves and dynamically adapt to change in accordance with evolving or dynamic business policies and objectives. The term "autonomic" comes from the autonomic nervous system, which controls many organs and muscles in the human body. These systems can perform management activities based on situations they observe or sense in the IT environment. Rather than IT professionals initiating management activities, the system observes something about itself and acts accordingly. This allows the IT professional to focus on high-value tasks while the technology manages the more mundane operations. This book explains how this can be made to happen and the changes that need to be made to make it happen.
Optimized Cloud Resource Management and Scheduling by Wenhong Dr. Tian,Yong Dr. Zhao Pdf
Optimized Cloud Resource Management and Scheduling identifies research directions and technologies that will facilitate efficient management and scheduling of computing resources in cloud data centers supporting scientific, industrial, business, and consumer applications. It serves as a valuable reference for systems architects, practitioners, developers, researchers and graduate level students. Explains how to optimally model and schedule computing resources in cloud computing Provides in depth quality analysis of different load-balance and energy-efficient scheduling algorithms for cloud data centers and Hadoop clusters Introduces real-world applications, including business, scientific and related case studies Discusses different cloud platforms with real test-bed and simulation tools
Managing Manufacturing Knowledge in Europe in the Era of Industry 4.0 by Justyna Patalas-Maliszewska Pdf
Manufacturing companies need to adapt to the requirements of functioning in the era of Industry 4.0 and major technological disruptions. The use of knowledge-based decision support tools has also become necessary in order for enterprises to survive in a competitive environment. This book offers a new approach to designing the knowledge management process and integrating it with the implementation of Industry 4.0 technology. The book presents the methods used in a customer-oriented organization under the Management of Manufacturing Knowledge (M-Know Process). More specifically, methods for defining and collecting customer requirements are presented and methods on how to receive manufacturing knowledge, as well as how to formalise the acquired knowledge using key technologies of Industry 4.0, are discussed. The author also presents real case studies from western and central Europe and offers recommendations for the production manager. The instrumentation of methods and tools to support knowledge management, in the production of individualised products presented therein, will allow the manufacturing company to be transformed digitally, into a customer-oriented organisation operating in accordance with the assumptions of Industry 4.0. This book will be a valuable read for production researchers, academicians, PhD students and postgraduate level students of industrial engineering and industrial management. The practical case studies will also make the book a useful resource for managers of manufacturing enterprises.
Cloud-IoT Technologies in Society 5.0 by Kamta Nath Mishra Ph.D.,Subhash Chandra Pandey Ph.D. Pdf
This book provides in-depth knowledge in the areas of convergence of cloud-IoT technologies and industry 4.0 with society 5.0, machine-to-machine communication, machine-to-person communication, techno-psychological perspective of society 5.0, sentiment analysis of smart digital societies, multi-access edge computing for 5G networks, discovery & location reporting of multi-access edge enabled clients/servers, m-health systems, enhancing the concert of M-health technologies in smart societies, supervising communication services in smart societies, life quality enhancement in smart city societies, multiple disease infection predictions, and societal opinion mining algorithms for smart cities societies using cloud-IoT integrated intelligent machine / deep learning technologies to the readers in the distributive environment. In this book, the authors have mandatorily discussed the implementation of cloud-IoT based machine learning technologies like clustering technique, Naïve Bayes classifier, artificial neural network (ANN), Firefly algorithm, Rough set classifiers, support vector machine classifier, decision tree classifier, ensemble classifier, random forest, and deep learning algorithms to analyze the behavior of intelligent machines and human habits using automated data scheduling and smart digital networks. At present, we live in a self-motivated and dynamic global society where technologies and challenges are unexpectedly changing overnight. These rapid changes in globalization and technological advances are creating new market forces every day. Therefore, day-to-day innovation is essential for any business or institution to survive and flourish in such an atmosphere. Though, innovation is no longer just to create value to do good to individuals, societies, or organizations. The utmost purpose of innovation is to create a smart futuristic society where people can enjoy the best quality of life using natural resources and manmade technologies including cloud-IoT technologies, and industry 4.0. Hence, the innovators and their innovations must search for intelligent solutions to tackle major socio-technical problems and remove barriers of rural, urban and smart city societies. The smart digitization and intelligent implementation of manufacturing development processes are the necessities for today’s rural, urban, and smart city industries. All types of industries including development, manufacturing, and research are presently shifting from bunch production to customized production. The fast advancements in manufacturing technologies have an in-depth impact on all types of societies including societies of rural areas, urban areas, and smart cities. Industry 4.0 includes the Internet of Things (IoT), Industrial Internet, Smart Manufacturing, Cloud-based computing, and Manufacturing Technologies. The objective of this book is to establish linkage between the Industry 4.0 components and various rural, urban & smart city societies (including society 5.0) to bring actual prosperity where human values, peace of mind, human relations, man-machine-relations, and calmness will have utmost preference. These objectives can be achieved by the integration of human societal values, and social opinion mining (SOM) approaches with the existing technologies.
A Step Towards Society 5.0 by Shahnawaz Khan,Thirunavukkarasu K.,Ayman AlDmour,Salam Salameh Shreem Pdf
This book serves the need for developing an insight and understanding of the cutting-edge innovation in Cloud technology. It provides an understanding of cutting-edge innovations, paradigms, and security by using real-life applications, case studies, and examples. This book provides a holistic view of cloud technology theories, practices, and future applications with real-life examples. It comprehensively explains cloud technology, design principles, development trends, maintaining state-of-the-art cloud computing and software services. It describes how cloud technology can transform the operating contexts of business enterprises. It exemplifies the potential of cloud computing for next-generation computational excellence and the role it plays as a key driver for the 4th industrial revolution in Industrial Engineering and a key driver for manufacturing industries. Researchers, academicians, postgraduates, and industry specialists will find this book of interest.
Cyber Security of Industrial Control Systems in the Future Internet Environment by Stojanovi?, Mirjana D.,Boštjan?i? Rakas, Slavica V. Pdf
In today’s modernized market, many fields are utilizing internet technologies in their everyday methods of operation. The industrial sector is no different as these technological solutions have provided several benefits including reduction of costs, scalability, and efficiency improvements. Despite this, cyber security remains a crucial risk factor in industrial control systems. The same public and corporate solutions do not apply to this specific district because these security issues are more complex and intensive. Research is needed that explores new risk assessment methods and security mechanisms that professionals can apply to their modern technological procedures. Cyber Security of Industrial Control Systems in the Future Internet Environment is a pivotal reference source that provides vital research on current security risks in critical infrastructure schemes with the implementation of information and communication technologies. While highlighting topics such as intrusion detection systems, forensic challenges, and smart grids, this publication explores specific security solutions within industrial sectors that have begun applying internet technologies to their current methods of operation. This book is ideally designed for researchers, system engineers, managers, networkers, IT professionals, analysts, academicians, and students seeking a better understanding of the key issues within securing industrial control systems that utilize internet technologies.
Enterprise Management Strategies in the Era of Cloud Computing by Rao, N. Raghavendra Pdf
Recent advances in internet architecture have led to the advent and subsequent explosion of cloud computing technologies, providing businesses with a powerful toolbox of collaborative digital resources. These technologies have fostered a more flexible, decentralized approach to IT infrastructure, enabling businesses to operate in a more agile fashion and on a globalized scale. Enterprise Management Strategies in the Era of Cloud Computing seeks to explore the possibilities of business in the cloud. Targeting an audience of research scholars, students, software developers, and business professionals, this premier reference source provides a cutting-edge look at the exciting and multifaceted relationships between cloud computing, software virtualization, collaborative technology, and business infrastructure in the 21st Century.
Robotics and Automation in Industry 4.0 by Nidhi Sindhwani,Rohit Anand,A. Shaji George,Digvijay Pandey Pdf
The book presents the innovative aspects of smart industries and intelligent technologies involving Robotics and Automation. It discusses the challenges in the design of autonomous robots and provides an understanding of how different systems ommunicate with each other, allowing cooperation with other human systems and operators in real time. Robotics and Automation in Industry 4.0: Smart Industries and Intelligent Technologies offers research articles, flow charts, algorithms, and examples based on daily life in automation and robotics related to the building of Industry 4.0. It presents disruptive technology applications related to Smart Industries and talks about how robotics is an important Industry 4.0 technology that offers a wide range of capabilities and has improved automation systems by doing repetitive tasks with more accuracy and at a lower cost. The book discusses how frontline healthcare staff can evaluate, monitor, and treat patients from a safe distance by using robotic and telerobotic systems to minimize the risk of infectious disease transmission. Artificial intelligence (AI) and machine learning (ML) are looked at and the book offers a comprehensive overview of the key challenges surrounding the Internet of Things (IoT) and AI synergy, including current and future applications with significant societal value. An ideal read for scientists, research scholars, entrepreneurs, industrialists, academicians, and various other professionals who are interested in exploring innovations in the applicational areas of AI, IoT, and ML related to Robotics and Automation.
Resource Management for Internet of Things by Flávia C. Delicato,Paulo F. Pires,Thais Batista Pdf
This book investigates the pressing issue of resource management for Internet of Things (IoT). The unique IoT ecosystem poses new challenges and calls for unique and bespoke solutions to deal with these challenges. Using a holistic approach, the authors present a thorough study into the allocation of the resources available within IoT systems to accommodate application requirements. This is done by investigating different functionalities and architectural approaches involved in a basic workflow for managing the lifecycle of resources in an IoT system. Resource Management for the Internet of Things will be of interest to researchers and students as well as professional developers interested in studying the IoT paradigm from data acquisition to the delivery of value-added services for the end user.
Database and Expert Systems Applications by Roland Wagner,Norman Revell,Günther Pernul Pdf
This volume constitutes the refereed proceedings of the 18th International Conference on Database and Expert Systems Applications held in September 2007. Papers are organized into topical sections covering XML, data and information, datamining and data warehouses, database applications, WWW, bioinformatics, process automation and workflow, knowledge management and expert systems, database theory, query processing, and privacy and security.
Web-Based Services: Concepts, Methodologies, Tools, and Applications by Management Association, Information Resources Pdf
The recent explosion of digital media, online networking, and e-commerce has generated great new opportunities for those Internet-savvy individuals who see potential in new technologies and can turn those possibilities into reality. It is vital for such forward-thinking innovators to stay abreast of all the latest technologies. Web-Based Services: Concepts, Methodologies, Tools, and Applications provides readers with comprehensive coverage of some of the latest tools and technologies in the digital industry. The chapters in this multi-volume book describe a diverse range of applications and methodologies made possible in a world connected by the global network, providing researchers, computer scientists, web developers, and digital experts with the latest knowledge and developments in Internet technologies.
Run-time Models for Self-managing Systems and Applications by Danilo Ardagna,Li Zhang Pdf
The complexity of Information Technology (IT) systems has been steadily incre- ing in the past decades. In October 2001, IBM released the “Autonomic Computing Manifesto” observing that current applications have reached the size of millions of lines of code, while physical infrastructures include thousands of heterogeneous servers requiring skilled IT professionals to install, con?gure, tune, and maintain. System complexity has been recognized as the main obstacle to the further advan- ment of IT technology. The basic idea of Autonomic Computing is to develop IT systems that are able to manage themselves, as the human autonomic nervous system governs basic body functions such as heart rate or body temperature, thus freeing the conscious brain— IT administrators—from the burden of dealing with low-level vital functions. Autonomic Computing systems can be implemented by introducing autonomic controllers which continuously monitor, analyze, plan, and execute (the famous MAPE cycle) recon?guration actions on the system components. Monitoring acti- ties are deployed to measure the workload and performance metrics of each running component so as to identify system faults. The goal of the analysis activities is to determine the status of components from the monitoring data, and to forecast - ture conditions based on historical observations. Finally, plan and execute activities aim at deciding and actuating the next system con?guration, for example, deciding whether to accept or reject new requests, determining the best application to servers assignment, in order to the achieve the self-optimization goals.
