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Multi-Cloud Strategy for Cloud Architects: Learn how to adopt and manage public clouds by leveraging BaseOps, FinOps, and DevSecOps, 2nd Edition
by Jeroen MulderSolve the complexity of running a business in a multi-cloud environment with practical guidelines backed by industry experience.Purchase of the print or Kindle book includes a free eBook in PDF format.Key FeaturesExplore the benefits of the major cloud providers to make better informed decisionsAccelerate digital transformation with multi-cloud, including the use of PaaS and SaaS conceptsGet the best out of multi-cloud by exploring relevant use cases for data platforms and IoTUnlock insights into top 5 cloud providers in one book - Azure, AWS, GCP, OCI, and Alibaba CloudBook DescriptionAre you ready to unlock the full potential of your enterprise with the transformative power of multi-cloud adoption? As a cloud architect, you understand the challenges of navigating the vast array of cloud services and moving data and applications to public clouds. But with 'Multi-Cloud Strategy for Cloud Architects, Second Edition', you'll gain the confidence to tackle these complexities head-on. This edition delves into the latest concepts of BaseOps, FinOps, and DevSecOps, including the use of the DevSecOps Maturity Model. You'll learn how to optimize costs and maximize security using the major public clouds - Azure, AWS, and Google Cloud. Examples of solutions by the increasingly popular Oracle Cloud Infrastructure (OCI) and Alibaba Cloud have been added in this edition. Plus, you will discover cutting-edge ideas like AIOps and GreenOps. With practical use cases, including IoT, data mining, Web3, and financial management, this book empowers you with the skills needed to develop, release, and manage products and services in a multi-cloud environment. By the end of this book, you'll have mastered the intricacies of multi-cloud operations, financial management, and security. Don't miss your chance to revolutionize your enterprise with multi-cloud adoption.What you will learnChoose the right cloud platform with the help of use casesMaster multi-cloud concepts, including IaC, SaaS, PaaS, and CaCUse the techniques and tools offered by Azure, AWS, and GCP to integrate security Maximize cloud potential with Azure, AWS, and GCP frameworks for enterprise architectureUse FinOps to define cost models and optimize cloud costs with showback and chargebackWho this book is forCloud architects, solutions architects, enterprise architects, and cloud consultants will find this book valuable. Basic knowledge of any one of the major public clouds (Azure, AWS, or GCP) will be helpful.
Multi-Core Embedded Systems (Embedded Multi-Core Systems)
by Georgios KornarosDetails a real-world product that applies a cutting-edge multi-core architectureIncreasingly demanding modern applications—such as those used in telecommunications networking and real-time processing of audio, video, and multimedia streams—require multiple processors to achieve computational performance at the rate of a few giga-operations per second. This necessity for speed and manageable power consumption makes it likely that the next generation of embedded processing systems will include hundreds of cores, while being increasingly programmable, blending processors and configurable hardware in a power-efficient manner.Multi-Core Embedded Systems presents a variety of perspectives that elucidate the technical challenges associated with such increased integration of homogeneous (processors) and heterogeneous multiple cores. It offers an analysis that industry engineers and professionals will need to understand the physical details of both software and hardware in embedded architectures, as well as their limitations and potential for future growth.Discusses the available programming models spread across different abstraction levelsThe book begins with an overview of the evolution of multiprocessor architectures for embedded applications and discusses techniques for autonomous power management of system-level parameters. It addresses the use of existing open-source (and free) tools originating from several application domains—such as traffic modeling, graph theory, parallel computing and network simulation. In addition, the authors cover other important topics associated with multi-core embedded systems, such as:Architectures and interconnectsEmbedded design methodologiesMapping of applications</
Multi-Criteria Decision Making Theory and Applications in Sustainable Healthcare
by Mohamed Abdel-Basset Ripon Kumar Chakrabortty Abduallah GamalMulti-Criteria Decision Making Theory and Applications in Sustainable Healthcare, 1st Edition, is an excellent compilation of current and advanced Multi-Criteria Decision Making (MCDM) techniques and their applications to multiple recent and innovative healthcare analytics problems. The healthcare business has expanded rapidly in recent years, and one of the top priorities in the sector is now the efficacy and efficiency of the various healthcare delivery systems. The entire performance of hospitals must be improved if the healthcare business wants to see an improvement in both the satisfaction and safety of their patients. Finding the best medical facility among many of its competitors may be difficult since there are so many, and they are so highly diverse in terms of features and performance trade-offs. This book has brought together the introductory discussions, fundamental concepts, challenges, and insights of multiple advanced healthcare management problems along with the application of MCDM to obtain the best option among multiple alternatives. A few important takeaways from this book are: Developing an efficient model for supplier performance evaluation and selection in healthcare industries with incomplete information. A computational reliance approach for assessing healthcare service quality aspects and their measurement in an uncertain environment. An efficient and provable approach for recommending suitable mobile healthcare products under uncertain environments. Establishing a decision-making strategy to select healthcare waste treatment methods. Assessing the usability of mHealth applications in practice related to type 2 diabetes. The successful outcome of this book will enable a decision-maker or practitioner to pick a suitable MCDM technique when making decisions to prioritize the selection criteria of any healthcare-related problems to ensure a sustainable practice. .
Multi-Criteria Decision Models in Software Reliability: Methods and Applications (Information Technology, Management and Operations Research Practices)
by Ashish Mishra Nguyen Thi Dieu Linh Manish Bhardwaj Carla M. A. PintoThis book provides insights into contemporary issues and challenges in multi-criteria decision models. It is a useful guide for identifying, understanding and categorising multi-criteria decision models, and ultimately implementing the analysis for effective decision-making. The use of multi-criteria decision models in software reliability engineering is a relatively new field of study, and this book collects all the latest methodologies, tools and techniques in one single volume. It covers model selection, assessment, resource allocation, release management, up-grade planning, open-source systems, bug tracking system management and defect prediction. Multi-Criteria Decision Models in Software Reliability: Methods and Applications will cater to researchers, academicians, post-graduate students, software developers, software reliability engineers and IT managers.
Multi-criteria Evaluation of Assortment and Suppliers in E-commerce: Operational Efficiency and Advantage (Palgrave Studies in Logistics and Supply Chain Management)
by Grzegorz ChodakIn a rapidly changing e-commerce environment, effective supplier selection and inventory management are critical to maintaining competitive advantage and operational efficiency. This book introduces innovative multi-criteria decision-making models (MCDMs) and improved inventory classification systems tailored specifically for online retail environments. Combining theory and research-based case studies, the book highlights the importance of comprehensive criteria in supplier and assortment evaluation and the application of artificial intelligence in optimising decision models. It provides valuable insights and practical solutions for improving supply chain performance and inventory management in the e-commerce sector. It will be of great interest to scholars and students of logistics and e-commerce and supply chain management.
Multi-dimensional Optical Storage
by Duanyi XuThis book presents principles and applications to expand the storage space from 2-D to 3-D and even multi-D, including gray scale, color (light with different wavelength), polarization and coherence of light. These actualize the improvements of density, capacity and data transfer rate for optical data storage. Moreover, the applied implementation technologies to make mass data storage devices are described systematically. Some new mediums, which have linear absorption characteristics for different wavelength and intensity to light with high sensitivity, are introduced for multi-wavelength and multi-level optical storage. This book can serve as a useful reference for researchers, engineers, graduate and undergraduate students in material science, information science and optics.
Multi-dimensional Urban Sensing Using Crowdsensing Data (Data Analytics)
by Chaocan Xiang Panlong Yang Fu Xiao Xiaochen FanChaocan Xiang is an Associate Professor at the College of Computer Science, Chongqing University, China. He received his bachelor’s degree and Ph.D. from Nanjing Institute of Communication Engineering, China, in 2009 and 2014, respectively. He subsequently studied at the University of Michigan-Ann Arbor in 2017 (supervised by Prof. Kang G. Shin, IEEE Life Fellow, ACM Fellow). His research interests mainly include UAVs/vehicle-based crowdsensing, urban computing, Internet of Things, Artificial Intelligence, and big data. He has published more than 50 papers, including over 20 in leading venues such as IEEE Transactions on Mobile Computing, IEEE Transactions on Parallel and Distributed Systems, IEEE INFOCOM, and ACM Ubicomp. He has received a best paper award and a best poster award at two international conferences. Panlong Yang is a full Professor at the University of Science and Technology of China. He has been supported by the NSF Jiangsu through a Distinguished Young Scholarship and was honored as a CCF Distinguished Lecturer in 2015. He has published over 150 papers, including 40 in CCF Class A. Since 2012, he has supervised 14 master’s and Ph.D. candidates, including two excellent dissertation winners in Jiangsu Province and the PLA education system. He has been supported by the National Key Development Project and NSFC projects. He has nominated by ACM MobiCom 2009 for the best demo honored mention awards, and won best paper awards at the IEEE MSN and MASS. He has served as general chair of BigCom and TPC chair of IEEE MSN. In addition, he has served as a TPC member of INFOCOM (CCF Class A) and an associate editor of the Journal of Communication of China. He is a Senior Member of the IEEE (2019). Fu Xiao received his Ph.D. in Computer Science and Technology from the Nanjing University of Science and Technology, Nanjing, China, in 2007. He is currently a Professor and Dean of the School of Computer, Nanjing University of Posts and Telecommunications. He has authored more than 60 papers in respected conference proceedings and journals, including IEEE INFOCOM, ACM Mobihoc, IEEE JASC, IEEE/ACM ToN, IEEE TPDS, IEEE TMC, etc. His main research interest is in the Internet of Things. He is a member of the IEEE Computer Society and the Association for Computing Machinery. Xiaochen Fan received his B.S. degree in Computer Science from Beijing Institute of Technology, Beijing, China, in 2013, and his Ph.D. from the University of Technology Sydney, NSW, Australia, in 2021. His research interests include mobile/pervasive computing, deep learning, and Internet of Things (IoT). He has published over 25 peer-reviewed papers in high-quality journals and IEEE/ACM international conference proceedings.
The Multi-Disciplinary Instructional Designer: Integrating Specialized Skills into Design Toolkits
by Chris Gamrat Megan KohlerThe Multi-Disciplinary Instructional Designer explores how the instructional design and development process can be energized and deepened through principles gleaned from other fields of academic study. Despite their shared academic preparation and theoretical foundations, many instructional designers come to the profession also bearing formative knowledge from a diverse range of other subject areas, career tracks, creative practices, or intellectual pursuits. Their training, however, typically does not prepare them to leverage these specializations into the creation of more effective educational experiences and materials. This first-of-its-kind book guides instructional designers to apply key concepts, strategies, and lessons learned from a variety of disciplines – spanning the social sciences, arts and humanities, and STEM – to their practice. Chapters replete with example scenarios, reflection activities, and field-tested strategies provide an expansive yet actionable reframing of the profession’s potential. By seeking inspiration across disciplines and from the world at large, instructional designers will emerge with robust and revitalized toolkits, ready to enrich their approach to teaching and learning.
The Multi-Disciplinary Instructional Designer: Integrating Specialized Skills into Design Toolkits
by Chris Gamrat Megan KohlerThe Multi-Disciplinary Instructional Designer explores how the instructional design and development process can be energized and deepened through principles gleaned from other fields of academic study. Despite their shared academic preparation and theoretical foundations, many instructional designers come to the profession also bearing formative knowledge from a diverse range of other subject areas, career tracks, creative practices, or intellectual pursuits. Their training, however, typically does not prepare them to leverage these specializations into the creation of more effective educational experiences and materials. This first-of-its-kind book guides instructional designers to apply key concepts, strategies, and lessons learned from a variety of disciplines – spanning the social sciences, arts and humanities, and STEM – to their practice. Chapters replete with example scenarios, reflection activities, and field-tested strategies provide an expansive yet actionable reframing of the profession’s potential. By seeking inspiration across disciplines and from the world at large, instructional designers will emerge with robust and revitalized toolkits, ready to enrich their approach to teaching and learning.
Multi-disciplinary Trends in Artificial Intelligence
by Antonis Bikakis Xianghan ZhengThis book constitutes the refereed conference proceedings of the 9th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2015, held in Fuzhou, China, in November 2015. The 30 revised full papers presented together with 12 short papers were carefully reviewed and selected from 83 submissions. The papers feature a wide range of topics covering knowledge representation, reasoning, and management; multi-agent systems; data mining and machine learning; computer vision; robotics; AI in bioinformatics; AI in security and networks; and other AI applications.
Multi-disciplinary Trends in Artificial Intelligence: 13th International Conference, MIWAI 2019, Kuala Lumpur, Malaysia, November 17–19, 2019, Proceedings (Lecture Notes in Computer Science #11909)
by Rapeeporn Chamchong Kok Wai WongThis book constitutes the refereed proceedings of the 13th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2019, held in Kuala Lumpur, Malaysia, in November 2019.The 19 full papers and 6 short papers presented were carefully reviewed and selected from 53 submissions. They cover a wide range of topics in theory, methods, and tools in AI sub-areas such as cognitive science, computational philosophy, computational intelligence, game theory, machine learning, multi-agent systems, natural language, representation and reasoning, data mining, speech, computer vision and the Web as well as their applications in big data, bioinformatics, biometrics, decision support, knowledge management, privacy, recommender systems, security, software engineering, spam filtering, surveillance, telecommunications, Web services, and IoT.
Multi-disciplinary Trends in Artificial Intelligence: 10th International Workshop, MIWAI 2016, Chiang Mai, Thailand, December 7-9, 2016, Proceedings (Lecture Notes in Computer Science #10053)
by Chattrakul Sombattheera, Frieder Stolzenburg, Fangzhen Lin and Abhaya NayakThis book constitutes the refereed conference proceedings of the 10th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2016, held in Chiang Mai, Thailand, in December 2016. The 22 revised full papers presented together with 5 short papers and 2 abstracts of invited talks were carefully reviewed and selected from 50 submissions. The workshop solicits papers from all areas of AI including cognitive science; computational intelligence; computational philosophy; game theory; machine learning; multi-agent systems; natural language; representation and reasoning; speech; vision and the web; as well as applications of AI in big data; bioinformatics; biometrics; decision support; e-commerce; image processing; analysis and retrieval; industrial applications; knowledge management; privacy; recommender systems; security; software engineering; spam filtering; surveillance; telecommunications; and web services.
Multi-disciplinary Trends in Artificial Intelligence: 12th International Conference, MIWAI 2018, Hanoi, Vietnam, November 18–20, 2018, Proceedings (Lecture Notes in Computer Science #11248)
by Manasawee Kaenampornpan Rainer Malaka Duc Dung Nguyen Nicolas SchwindThis book constitutes the refereed conference proceedings of the 12th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2018, held in Hanoi, Vietnam, in November 2018. The 16 full papers presented together with 9 short papers were carefully reviewed and selected from 65 submissions. They are organized in the following topical sections: control, planning and scheduling, pattern recognition, knowledge mining, software applications, strategy games and others.
Multi-disciplinary Trends in Artificial Intelligence: 14th International Conference, MIWAI 2021, Virtual Event, July 2–3, 2021, Proceedings (Lecture Notes in Computer Science #12832)
by Junmo Kim Phatthanaphong Chomphuwiset Pornntiwa PawaraThis book constitutes the refereed proceedings of the 14th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2021, held online in July 2021.The 13 full papers and 3 short papers presented were carefully reviewed and selected from 33 submissions. They cover a wide range of topics in theory, methods, and tools in AI sub-areas such as cognitive science, computational philosophy, computational intelligence, game theory, machine learning, multi-agent systems, natural language, representation and reasoning, data mining, speech, computer vision and the Web as well as their applications in big data, bioinformatics, biometrics, decision support, knowledge management, privacy, recommender systems, security, software engineering, spam filtering, surveillance, telecommunications, Web services, and IoT.
Multi-disciplinary Trends in Artificial Intelligence: 16th International Conference, MIWAI 2023, Hyderabad, India, July 21–22, 2023, Proceedings (Lecture Notes in Computer Science #14078)
by Raghava Morusupalli Teja Santosh Dandibhotla Vani Vathsala Atluri David Windridge Pawan Lingras Venkateswara Rao KomatiThis book constitutes the refereed proceedings of the 16th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2023, held in Hyderabad, India, during July 21–22, 2023, 2022.The 47 full papers and 24 short papers included in this book were carefully reviewed and selected from 245 submissions. They were organized in topical sections as follows: digital life: an advent of transhumanism; traveling salesperson problem; and centrality measures based heuristics for perfect awareness problem in social networks.
Multi-disciplinary Trends in Artificial Intelligence
by Chattrakul Sombattheera Frieder Stolzenburg Fangzhen Lin Abhaya NayakThis volume constitutes the refereed proceedings of the 5th Multi-disciplinary International Workshop On Artificial Intelligence, MIWAI 2011, held in Hyderabad, India, in December 2011. The 38 revised full papers presented were carefully reviewed and selected from 71 submissions. The papers cover the multifarious nature of the Artificial Intelligence research domain, ranging from theoretical to real world applications and address topics such as agent-based simulation, agent-oriented software engineering, agents and Web services, agent-based electronic commerce, auctions and markets, AI in video games, computer vision, constraint satisfaction, data mining, decision theory, distributed AI, e-commerce and AI, game theory, internet/www intelligence, industrial applications of AI, intelligent tutoring, knowledge representation and reasoning, machine learning, multi-agent planning and learning, multi-agent systems and their applications, multi-agent systems and evolving intelligence, natural language processing, neural networks, planning and scheduling, robotics, uncertainty in AI, and Web services.
Multi-disciplinary Trends in Artificial Intelligence: 17th International Conference, MIWAI 2024, Pattaya, Thailand, November 11–15, 2024, Proceedings, Part I (Lecture Notes in Computer Science #15431)
by Chattrakul Sombattheera Paul Weng Jun PangThe two-volume set LNAI 15431 and 15432 constitutes the refereed proceedings of the 17th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2024, held in Pattaya, Thailand, during November 11–15, 2024. The 68 full papers presented in these proceedings were carefully reviewed and selected from 147 submissions. The papers focus on various topics in AI and its applications, such as deep learning, machine learning, computer vision, pattern recognition, and natural language processing.
Multi-disciplinary Trends in Artificial Intelligence: 17th International Conference, MIWAI 2024, Pattaya, Thailand, November 11–15, 2024, Proceedings, Part II (Lecture Notes in Computer Science #15432)
by Chattrakul Sombattheera Paul Weng Jun PangThe two-volume set LNAI 15431 and 15432 constitutes the refereed proceedings of the 17th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2024, held in Pattaya, Thailand, during November 11–15, 2024. The 68 full papers presented in these proceedings were carefully reviewed and selected from 147 submissions. The papers focus on various topics in AI and its applications, such as deep learning, machine learning, computer vision, pattern recognition, and natural language processing.
Multi-disciplinary Trends in Artificial Intelligence: 15th International Conference, MIWAI 2022, Virtual Event, November 17–19, 2022, Proceedings (Lecture Notes in Computer Science #13651)
by Olarik Surinta Kevin Kam Fung YuenThis book constitutes the refereed proceedings of the 15th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2022, held online on November 17–19, 2022.The 14 full papers and 5 short papers presented were carefully reviewed and selected from 42 submissions.
Multi-Domain Communication Management Systems (Advanced & Emerging Communications Technologies)
by Alex GalisAmong the leading challenges faced by systems managers today is the coherent management of network resources in a multi-domain, multi-environment. The MISA Project - Management of Integrated SDH and ATM Networks - brought together researchers from 17 organizations to explore and advance the state of the art in developing enabling mechanisms for end
Multi-faceted Deep Learning: Models and Data
by Jenny Benois-Pineau Akka ZemmariThis book covers a large set of methods in the field of Artificial Intelligence - Deep Learning applied to real-world problems. The fundamentals of the Deep Learning approach and different types of Deep Neural Networks (DNNs) are first summarized in this book, which offers a comprehensive preamble for further problem–oriented chapters. The most interesting and open problems of machine learning in the framework of Deep Learning are discussed in this book and solutions are proposed. This book illustrates how to implement the zero-shot learning with Deep Neural Network Classifiers, which require a large amount of training data. The lack of annotated training data naturally pushes the researchers to implement low supervision algorithms. Metric learning is a long-term research but in the framework of Deep Learning approaches, it gets freshness and originality. Fine-grained classification with a low inter-class variability is a difficult problem for any classification tasks. This book presents how it is solved, by using different modalities and attention mechanisms in 3D convolutional networks. Researchers focused on Machine Learning, Deep learning, Multimedia and Computer Vision will want to buy this book. Advanced level students studying computer science within these topic areas will also find this book useful.
Multi-finger Haptic Interaction
by Manuel Ferre Ignacio GalianaMulti-finger Haptic Interaction presents a panorama of technologies and methods for multi-finger haptic interaction, together with an analysis of the benefits and implications of adding multiple-fingers to haptic applications. Research topics covered include: design and control of advanced haptic devices;multi-contact point simulation algorithms;interaction techniques and implications in human perception when interacting with multiple fingers.These multi-disciplinary results are integrated into applications such as medical simulators for training manual skills, simulators for virtual prototyping and precise manipulations in remote environments. Multi-finger Haptic Interaction presents the current and potential applications that can be developed with these systems, and details the systems' complexity. The research is focused on enhancing haptic interaction by providing multiple contact points to the user. This state-of-the-art volume is oriented towards researchers who are involved in haptic device design, rendering methods and perception studies, as well as readers from different disciplines who are interested in applying multi-finger haptic technologies and methods to their field of interest.
Multi-Fractal Traffic and Anomaly Detection in Computer Communications
by Ming LiThis book provides a comprehensive theory of mono- and multi-fractal traffic, including the basics of long-range dependent time series and 1/f noise, ergodicity and predictability of traffic, traffic modeling and simulation, stationarity tests of traffic, traffic measurement and the anomaly detection of traffic in communications networks. Proving that mono-fractal LRD time series is ergodic, the book exhibits that LRD traffic is stationary. The author shows that the stationarity of multi-fractal traffic relies on observation time scales, and proposes multi-fractional generalized Cauchy processes and modified multi-fractional Gaussian noise. The book also establishes a set of guidelines for determining the record length of traffic in measurement. Moreover, it presents an approach of traffic simulation, as well as the anomaly detection of traffic under distributed-denial-of service attacks. Scholars and graduates studying network traffic in computer science will find the book beneficial.
Multi-hop Routing in Wireless Sensor Networks
by Shalli Rani Syed Hassan AhmedThis brief provides an overview of recent developments in multi-hop routing protocols for Wireless Sensor Networks (WSNs). It introduces the various classifications of routing protocols and lists the pros and cons of each category, going beyond the conceptual overview of routing classifications offered in other books. Recently many researchers have proposed numerous multi-hop routing protocols and thereby created a need for a book that provides its readers with an up-to-date road map of this research paradigm. The authors present some of the most relevant results achieved by applying an algorithmic approach to the research on multi-hop routing protocols. The book covers measurements, experiences and lessons learned from the implementation of multi-hop communication prototypes. Furthermore, it describes future research challenges and as such serves as a useful guide for students and researchers alike.
Multi-Label Dimensionality Reduction (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
by Liang Sun Shuiwang Ji Jieping YeSimilar to other data mining and machine learning tasks, multi-label learning suffers from dimensionality. An effective way to mitigate this problem is through dimensionality reduction, which extracts a small number of features by removing irrelevant, redundant, and noisy information. The data mining and machine learning literature currently lacks