Industrial IoT Application Architectures and Use Cases

As the number of Internet of Things (IoT) elements grows exponentially, their interactions can generate a massive amount of raw and multi-structured data. The challenge with this data explosion is to transform any raw data into information and knowledge, which can be used by people and systems to make intelligent decisions.&#12288;Industrial IoT Application Architectures and Use Casesexplores how artificial intelligence (AI), data analytics, and IoT technology combine to promote intelligent decision-making and automation in a range of industries. With faster, more stable AI algorithms and approaches, knowledge discovery and dissemination from IoT-device data can be simplified and streamlined. An era of powerful cognitive technology is beginning due to cloud-based cognitive systems that are forming the foundation of game-changing intelligent applications. This book presents next-generation use cases of IoT and IoT data analytics for a variety of industrial verticals as given below: <ul> <li>An Intelligent IoT framework for smart water management</li> <li>An IoT-enabled smart traffic control system for congestion control and smart traffic management</li> <li>An intelligent airport system for airport management and security surveillance</li> <li>An IoT framework for healthcare to integrate and report patient information</li> <li>Fuzzy scheduling with IoT for tracking and monitoring hotel assets</li> <li>An IoT system for designing drainage systems and monitoring drainage pipes</li> <li>Predictive maintenance of plant equipment to decide the actual mean time to malfunction</li> <li>Integrated neural networks and IoT systems for predictive equipment maintenance</li> <li>IoT integration in blockchain for smart waste management</li> </ul> This book also includes a chapter on the IoT paradigm and an overview of uses cases for personal, social, and industrial applications. &nbsp;

Computers & Technology

Raj, Pethuru

Suresh, A.

Nandagopal, Malarvizhi

Neeba, E. A.

Lin, Jenn-Wei

Computer Science

Auerbach Publications

Cognitive Internet of Things: Enabling Technologies, Platforms, and Use Cases

The Internet of Things (IoT) concept is defined as a flexible and futuristic network where all the different types of devices and smart objects can become seamlessly connected to each other and can actively participate in all types of processes which are happening around us. The grand objective of making physical, mechanical, electrical, and electronic devices to use the deeper and extreme connectivity and service-enablement techniques is to make them intelligent in their deeds, decisions, and deals. Cognitive IoT is the application of cognitive computing technologies to the data which is generated by the connected devices of the IoT ecosystem. Cognition means thinking; however, computers are not yet fully capable of mimicking human like thought. However, the present-day computer systems can perform some functions which are like the capability of human beings to think.Cognitive Internet of Things: Enabling Technologies, Platforms, and Use Cases explains the concepts surrounding Cognitive IoT. It also looks at the use cases and such supporting technologies as artificial intelligence and machine learning that act as key enablers of Cognitive IoT ecosystem. Different Cognitive IoT enabled platforms like IBM Watson and other product specific use cases like Amazon Alexa are covered in depth. Other highlights of the book include: <ul> <li>Demystifying the cognitive computing paradigm</li> <li>Delineating the key capabilities of cognitive cloud environments</li> <li>Deep learning algorithms for cognitive IoT solutions</li> <li>Natural language processing (NLP) methods for cognitive IoT systems</li> <li>Designing a secure infrastructure for cognitive IoT platforms and applications</li>

Raman, Anupama C.

Subramanian, Harihara

Cloud Reliability Engineering: Technologies and Tools

Coud reliability engineering is a leading issue of cloud services. Cloud service providers guarantee computation, storage and applications through service-level agreements (SLAs) for promised levels of performance and uptime. Cloud Reliability Engineering: Technologies and Tools presents case studies examining cloud services, their challenges, and the reliability mechanisms used by cloud service providers. These case studies provide readers with techniques to harness cloud reliability and availability requirements in their own endeavors. Both conceptual and applied, the book explains reliability theory and the best practices used by cloud service companies to provide high availability. It also examines load balancing, and cloud security.Written by researchers and practitioners, the book's chapters are a comprehensive study of cloud reliability and availability issues and solutions. Various reliability class distributions and their effects on cloud reliability are discussed. An important aspect of reliability block diagrams is used to categorize poor reliability of cloud infrastructures, where enhancement can be made to lower the failure rate of the system. This technique can be used in design and functional stages to determine poor reliability of a system and provide target improvements. Load balancing for reliability is examined as a migrating process or performed by using virtual machines. The approach employed to identify the lightly loaded destination node to which the processes/virtual machines migrate can be optimized by employing a genetic algorithm. To analyze security risk and reliability, a novel technique for minimizing the number of keys and the security system is presented. The book also provides an overview of testing methods for the cloud, and a case study discusses testing reliability, installability, and security. A comprehensive volume, Cloud Reliability Engineering: Technologies and Tools combines research, theory, and best practices used to engineer reliable cloud availability and performance.

Achary, Rathnakar

Games & Strategy Guides

CRC-Press

"This book clarifies for readers concepts of cognitive Internet of Things (IoT) along with the use cases and other supporting technologies like artificial intelligence and machine learning that are key enablers of the cognitive IoT ecosystem. Different platforms like IBM Watson and product specific use cases like Amazon Alexa are covered in detail"--

As more and more devices become interconnected through the Internet of Things (IoT), there is an even greater need for this book,which explains the technology, the internetworking, and applications that are making IoT an everyday reality. The book begins with a discussion of IoT "ecosystems" and the technology that enables them, which includes: <ul> <li>Wireless</li> <li>Infrastructure and Service Discovery Protocols</li> <li>Integration Technologies and Tools</li> <li>Application and Analytics Enablement Platforms</li> </ul> A chapter on next-generation cloud infrastructure explains hosting IoT platforms and applications. A chapter on data analytics throws light on IoT data collection, storage, translation, real-time processing, mining, and analysis, all of which can yield actionable insights from the data collected by IoT applications. There is also a chapter on edge/fog computing. The second half of the book presents various IoT ecosystem use cases. One chapter discusses smart airports and highlights the role of IoT integration. It explains how mobile devices, mobile technology, wearables, RFID sensors, and beacons work together as the core technologies of a smart airport. Integrating these components into the airport ecosystem is examined in detail, and use cases and real-life examples illustrate this IoT ecosystem in operation. Another in-depth look is on envisioning smart healthcare systems in a connected world. This chapter focuses on the requirements, promising applications, and roles of cloud computing and data analytics. The book also examines smart homes, smart cities, and smart governments. The book concludes with a chapter on IoT security and privacy. This chapter examines the emerging security and privacy requirements of IoT environments. The security issues and an assortment of surmounting techniques and best practices are also discussed in this chapter.

The Internet of Things

Intelligent Cities

The emergence of highly promising and potent technologies has enabled the transition of ordinary objects into smart artifacts―providing wider connectivity of digitized entities that can facilitate the building of connected cities. This book provides readers with a solid foundation on the latest technologies and tools required to develop and enhance smart cities around the world.\nThe book begins by examining the rise of the cloud as the fundamental technology for establishing and sustaining smart cities and enterprises. Explaining the principal technologies and platform solutions for implementing intelligent cities, the book details the role of various technologies, standards, protocols, and tools in establishing flexible homes and the buildings of the future. Examines IT platforms and tools from various product vendors Considers service-oriented architecture and event-driven architecture for smart city applications Explains how to leverage big data analytics for smart city enhancement and improved decision making Includes case studies of intelligent cities, smart homes, buildings, transports, healthcare systems, and airports 
The authors explore the convergence of cloud computing and enterprise architecture and present valuable information on next-generation cloud computing. They also cover the various architectural types, including enterprise-scale integration, security, management, and governance.\nThe book concludes by explaining the various security requirements of intelligent cities as well as the threats and vulnerabilities of the various components that form the basis of the intelligent city framework, including cloud, big data, Internet of Things, and mobile technologies.

As the number of Internet of Things (IoT) elements grows exponentially, their interactions can generate a massive amount of raw and multi-structured data. The challenge with this data explosion is to transform any raw data into information and knowledge, which can be used by people and systems to make intelligent decisions. Industrial IoT Application Architectures and Use Cases explores how artificial intelligence (AI), data analytics, and IoT technology combine to promote intelligent decision-making and automation in a range of industries. With faster, more stable AI algorithms and approaches, knowledge discovery and dissemination from IoT-device data can be simplified and streamlined. An era of powerful cognitive technology is beginning due to cloud-based cognitive systems that are forming the foundation of game-changing intelligent applications. This book presents next-generation use cases of IoT and IoT data analytics for a variety of industrial verticals as given below: <ul> <li style="list-style: none"> </li> <li>An Intelligent IoT framework for smart water management</li> <li style="list-style: none"> </li> <li>An IoT-enabled smart traffic control system for congestion control and smart traffic management</li> <li style="list-style: none"> </li> <li>An intelligent airport system for airport management and security surveillance</li> <li style="list-style: none"> </li> <li>An IoT framework for healthcare to integrate and report patient information</li> <li style="list-style: none"> </li> <li>Fuzzy scheduling with IoT for tracking and monitoring hotel assets</li> <li style="list-style: none"> </li> <li>An IoT system for designing drainage systems and monitoring drainage pipes</li> <li style="list-style: none"> </li> <li>Predictive maintenance of plant equipment to decide the actual mean time to malfunction</li> <li style="list-style: none"> </li> <li>Integrated neural networks and IoT systems for predictive equipment maintenance</li> <li style="list-style: none"> </li> <li>IoT integration in blockchain for smart waste management</li> <li style="list-style: none"> </li> </ul> This book also includes a chapter on the IoT paradigm and an overview of uses cases for personal, social, and industrial applications.

Explore the cloud-native paradigm for event-driven and service-oriented applications In Cloud-Native Computing: The Technologies and Tools towards Enterprise-scale Microservices-centric Applications, a team of distinguished professionals delivers a comprehensive and insightful treatment of cloud-native computing technologies and tools. With a particular emphasis on the Kubernetes platform, as well as service mesh and API gateway solutions, the book demonstrates the need for reliability assurance in any distributed environment. The authors explain the application engineering and legacy modernization aspects of the technology at length, along with agile programming models. Descriptions of MSA and EDA as tools for accelerating software design and development accompany discussions of how cloud DevOps tools empower continuous integration, delivery, and deployment. Cloud-Native Computing also introduces proven edge devices and clouds used to construct microservices-centric and real-time edge applications. Finally, readers will benefit from: <ul> <li>Thorough introductions to the demystification of digital transformation</li> <li>Comprehensive explorations of distributed computing in the digital era, as well as reflections on the history and technological development of cloud computing</li> <li>Practical discussions of cloud-native computing and microservices architecture, as well as event-driven architecture and serverless computing</li> <li>In-depth examinations of the Akka framework as a tool for concurrent and distributed applications development</li> </ul> Perfect for graduate and postgraduate students in a variety of IT- and cloud-related specialties, Cloud-Native Computing also belongs in the libraries of IT professionals and business leaders engaged or interested in the application of cloud technologies to various business operations.

Cloud-native Computing: How to Design, Develop, and Secure Microservices and Event-Driven Applications

Vanga, Skylab

Chaudhary, Akshita

Wiley-IEEE Press

Cloud Enterprise Architecture

Cloud Enterprise Architecture examines enterprise architecture (EA) in the context of the surging popularity of Cloud computing. It explains the different kinds of desired transformations the architectural blocks of EA undergo in light of this strategically significant convergence. Chapters cover each of the contributing architectures of EA―business, information, application, integration, security, and technology―illustrating the current and impending implications of the Cloud on each. Discussing the implications of the Cloud paradigm on EA, the book details the perceptible and positive changes that will affect EA design, governance, strategy, management, and sustenance. The author ties these topics together with chapters on Cloud integration and composition architecture. He also examines the Enterprise Cloud, Federated Clouds, and the vision to establish the InterCloud. Laying out a comprehensive strategy for planning and executing Cloud-inspired transformations, the book: <ul>
<li>Explains how the Cloud changes and affects enterprise architecture design, governance, strategy, management, and sustenance</li> <li>Presents helpful information on next-generation Cloud computing</li> <li>Describes additional architectural types such as enterprise-scale integration, security, management, and governance architectures</li>
</ul>
This book is an ideal resource for enterprise architects, Cloud evangelists and enthusiasts, and Cloud application and service architects. Cloud center administrators, Cloud business executives, managers, and analysts will also find the book helpful and inspirational while formulating appropriate mechanisms and schemes for sound modernization and migration of traditional applications to Cloud infrastructures and platforms.

See the best price to sell, buy, or rent books by Raj, Pethuru. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Raj, Pethuru

See the best price to sell, buy, or rent books by Raj, Pethuru. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Industrial IoT Application Architectures and Use Cases

Cognitive Internet of Things: Enabling Technologies, Platforms, and Use Cases

Cloud Reliability Engineering: Technologies and Tools

Cognitive Internet of Things: Enabling Technologies, Platforms, and Use Cases

The Internet of Things

Intelligent Cities

Industrial IoT Application Architectures and Use Cases

Cloud-native Computing: How to Design, Develop, and Secure Microservices and Event-Driven Applications

Cloud Enterprise Architecture

Cloud Enterprise Architecture