Integrating And Streamlining Event Driven Iot Services
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Integrating and Streamlining Event-Driven IoT Services by Zhang, Yang,Guo, Yanmeng Pdf
In IoT scenarios, ways in which large-scale and cross-domain service systems can be established are still unclear, and no systematic or in-depth theories and methods have yet been found. An effective, formal foundation to IoT application designs could serve as a knowledge base for a variety of virtual world applications. Integrating and Streamlining Event-Driven IoT Services discusses how to observe isolated services running by different observation sources, how to fuse different observations to deal with observation conflict and incompleteness, and how to deal with adversaries and physical system features for real-time property enforcement over the fused knowledge. Overall, presenting an exploration of systematic theories and methods for the design of IoT services based on the principles of streamlining and integration, this book features research on topics such as CEP service, virtual machine technologies, and hybrid EPC. It is ideally designed for engineers, researchers, and university students seeking coverage on applications for smart cities, smart grids, and Industry 4.0.
Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing by Velayutham, Sathiyamoorthi Pdf
In today’s market, emerging technologies are continually assisting in common workplace practices as companies and organizations search for innovative ways to solve modern issues that arise. Prevalent applications including internet of things, big data, and cloud computing all have noteworthy benefits, but issues remain when separately integrating them into the professional practices. Significant research is needed on converging these systems and leveraging each of their advantages in order to find solutions to real-time problems that still exist. Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing is a pivotal reference source that provides vital research on the relation between these technologies and the impact they collectively have in solving real-world challenges. While highlighting topics such as cloud-based analytics, intelligent algorithms, and information security, this publication explores current issues that remain when attempting to implement these systems as well as the specific applications IoT, big data, and cloud computing have in various professional sectors. This book is ideally designed for academicians, researchers, developers, computer scientists, IT professionals, practitioners, scholars, students, and engineers seeking research on the integration of emerging technologies to solve modern societal issues.
Examining the Impact of Deep Learning and IoT on Multi-Industry Applications by Raut, Roshani,Mihovska, Albena Dimitrova Pdf
Deep learning, as a recent AI technique, has proven itself efficient in solving many real-world problems. Deep learning algorithms are efficient, high performing, and an effective standard for solving these problems. In addition, with IoT, deep learning is in many emerging and developing domains of computer technology. Deep learning algorithms have brought a revolution in computer vision applications by introducing an efficient solution to several image processing-related problems that have long remained unresolved or moderately solved. Various significant IoT technologies in various industries, such as education, health, transportation, and security, combine IoT with deep learning for complex problem solving and the supported interaction between human beings and their surroundings. Examining the Impact of Deep Learning and IoT on Multi-Industry Applications provides insights on how deep learning, together with IoT, impacts various sectors such as healthcare, agriculture, cyber security, and social media analysis applications. The chapters present solutions to various real-world problems using these methods from various researchers’ points of view. While highlighting topics such as medical diagnosis, power consumption, livestock management, security, and social media analysis, this book is ideal for IT specialists, technologists, security analysts, medical practitioners, imaging specialists, diagnosticians, academicians, researchers, industrial experts, scientists, and undergraduate and postgraduate students who are working in the field of computer engineering, electronics, and electrical engineering.
Design Innovation and Network Architecture for the Future Internet by Boucadair, Mohamed,Jacquenet, Christian Pdf
For the past couple of years, network automation techniques that include software-defined networking (SDN) and dynamic resource allocation schemes have been the subject of a significant research and development effort. Likewise, network functions virtualization (NFV) and the foreseeable usage of a set of artificial intelligence techniques to facilitate the processing of customers’ requirements and the subsequent design, delivery, and operation of the corresponding services are very likely to dramatically distort the conception and the management of networking infrastructures. Some of these techniques are being specified within standards developing organizations while others remain perceived as a “buzz” without any concrete deployment plans disclosed by service providers. An in-depth understanding and analysis of these approaches should be conducted to help internet players in making appropriate design choices that would meet their requirements as well as their customers. This is an important area of research as these new developments and approaches will inevitably reshape the internet and the future of technology. Design Innovation and Network Architecture for the Future Internet sheds light on the foreseeable yet dramatic evolution of internet design principles and offers a comprehensive overview on the recent advances in networking techniques that are likely to shape the future internet. The chapters provide a rigorous in-depth analysis of the promises, pitfalls, and other challenges raised by these initiatives, while avoiding any speculation on their expected outcomes and technical benefits. This book covers essential topics such as content delivery networks, network functions virtualization, security, cloud computing, automation, and more. This book will be useful for network engineers, software designers, computer networking professionals, practitioners, researchers, academicians, and students looking for a comprehensive research book on the latest advancements in internet design principles and networking techniques.
Result Page Generation for Web Searching: Emerging Research and Opportunities by Alli, Mostafa Pdf
Diversity in user queries makes it challenging for search engines to effectively return a set of relevant results. Both user intentions to search the web and types of queries are vastly varied; consequently, horizontal and vertical search engines are developed to answer user queries more efficiently. However, these search engines present a variety of problems in web searching. Result Page Generation for Web Searching: Emerging Research and Opportunities is an essential reference publication that focuses on taking advantages from text and web mining in order to address the issues of recommendation and visualization in web searching. Highlighting a wide range of topics such as navigational searching, resource identification, and ambiguous queries, this book is ideally designed for computer engineers, web designers, programmers, academicians, researchers, and students.
Building Cloud Data Platforms Solutions by Anouar BEN ZAHRA Pdf
"Building Cloud Data Platforms Solutions: An End-to-End Guide for Designing, Implementing, and Managing Robust Data Solutions in the Cloud" comprehensively covers a wide range of topics related to building data platforms in the cloud. This book provides a deep exploration of the essential concepts, strategies, and best practices involved in designing, implementing, and managing end-to-end data solutions. The book begins by introducing the fundamental principles and benefits of cloud computing, with a specific focus on its impact on data management and analytics. It covers various cloud services and architectures, enabling readers to understand the foundation upon which cloud data platforms are built. Next, the book dives into key considerations for building cloud data solutions, aligning business needs with cloud data strategies, and ensuring scalability, security, and compliance. It explores the process of data ingestion, discussing various techniques for acquiring and ingesting data from different sources into the cloud platform. The book then delves into data storage and management in the cloud. It covers different storage options, such as data lakes and data warehouses, and discusses strategies for organizing and optimizing data storage to facilitate efficient data processing and analytics. It also addresses data governance, data quality, and data integration techniques to ensure data integrity and consistency across the platform. A significant portion of the book is dedicated to data processing and analytics in the cloud. It explores modern data processing frameworks and technologies, such as Apache Spark and serverless computing, and provides practical guidance on implementing scalable and efficient data processing pipelines. The book also covers advanced analytics techniques, including machine learning and AI, and demonstrates how these can be integrated into the data platform to unlock valuable insights. Furthermore, the book addresses an aspects of data platform monitoring, security, and performance optimization. It explores techniques for monitoring data pipelines, ensuring data security, and optimizing performance to meet the demands of real-time data processing and analytics. Throughout the book, real-world examples, case studies, and best practices are provided to illustrate the concepts discussed. This helps readers apply the knowledge gained to their own data platform projects.
Serverless Computing Concepts, Technology and Architecture by Aluvalu, Rajanikanth,V., Uma Maheswari Pdf
Serverless computing has emerged as a transformative technology, gaining prominence over traditional cloud computing. It is characterized by reduced costs, lower latency, and the elimination of server-side management overhead, and is driven by the increasing adoption of containerization and microservices architectures. However, there is a significant lack of comprehensive resources for academic research purposes in this field. Serverless Computing Concepts, Technology, and Architecture addresses this gap and provides a comprehensive exploration of the fundamental concepts, characteristics, challenges, applications, and futuristic approaches of serverless computing. This book serves as a valuable reference for doctorate and post-doctorate research scholars, undergraduates, and postgraduates in fields such as computer science, information technology, electronics engineering, and other related disciplines. Serverless Computing Concepts, Technology, and Architecture is poised to be a one-stop reference point for those seeking to understand and harness the potential of serverless computing. It will serve as a prominent guide for researchers in this field for years to come, enriching their knowledge and advancing the study of serverless computing.
Understanding IoT: Tips, Recommendations, and Strategies for Success by Rick Spair Pdf
Welcome to "Understanding IoT: Tips, Recommendations, and Strategies for Success." This comprehensive guide is designed to provide you with valuable insights into the world of the Internet of Things (IoT) and equip you with the knowledge and tools necessary to navigate the complexities of implementing successful IoT solutions. The IoT has emerged as a powerful force, transforming industries, enhancing connectivity, and revolutionizing the way we interact with our surroundings. From smart homes to industrial automation, from healthcare monitoring to smart cities, the IoT has the potential to reshape our lives and drive significant advancements in various sectors. However, the vast landscape of IoT can be overwhelming, with a multitude of technologies, challenges, and considerations to navigate. This guide aims to demystify the IoT ecosystem, offering practical tips, recommendations, and strategies to help you understand and harness the power of IoT for success. Throughout this book, we will delve into various aspects of IoT implementation, covering topics such as understanding the basic concepts of IoT, planning IoT projects, selecting the right IoT platforms, data management and analytics, connectivity options, sensors and actuators, security considerations, and much more. Each chapter is carefully crafted to provide comprehensive insights, practical tips, and real-world examples to guide you on your IoT journey. By reading this guide, you will gain a deep understanding of IoT principles, learn best practices for designing, implementing, and maintaining IoT solutions, and explore emerging trends and technologies that shape the future of IoT. Whether you are an individual looking to enhance your knowledge of IoT or an organization seeking to capitalize on the benefits of IoT, this book serves as a valuable resource to help you achieve your goals. It is important to note that IoT is a rapidly evolving field, and new developments continually emerge. While this guide provides a solid foundation and covers a wide range of topics, it is crucial to continue learning and staying updated with the latest advancements in the IoT landscape. By embracing ongoing learning, networking with industry professionals, and exploring emerging trends, you can stay ahead of the curve and capitalize on the ever-expanding possibilities of IoT. I hope that this comprehensive guide will empower you to embark on your IoT journey with confidence, make informed decisions, overcome challenges, and achieve success. Let's dive into the world of IoT and unlock its transformative potential together.
Inventive Communication and Computational Technologies by G. Ranganathan,Xavier Fernando,Fuqian Shi Pdf
This book gathers selected papers presented at the Inventive Communication and Computational Technologies conference (ICICCT 2021), held on 25–26 June 2021 at Gnanamani College of Technology, Tamil Nadu, India. The book covers the topics such as Internet of things, social networks, mobile communications, big data analytics, bio-inspired computing, and cloud computing. The book is exclusively intended for academics and practitioners working to resolve practical issues in this area.
Developing Solutions for Microsoft Azure AZ-204 Exam Guide by Paul Ivey,Alex Ivanov Pdf
Build a thorough understanding of the technology, concepts, and development patterns used in building applications in Azure, through detailed explanations, hands-on exercises, and downloadable code samples Key Features Written by two Microsoft technical trainers to help you explore the exam topics in a structured way Understand the “why”, and not just “how” behind design and solution decisions Follow along examples with downloadable code samples to help cement each topic’s learning objective Book DescriptionWith the prevalence of cloud technologies and DevOps ways of working, the industry demands developers who can build cloud solutions and monitor them throughout their life cycle. Becoming a Microsoft-certified Azure developer can differentiate developers from the competition, but with such a plethora of information available, it can be difficult to structure learning in an effective way to obtain certification. Through easy-to-understand explanations and exercises, this book will provide a more palatable learning experience than what you may expect from an exam preparation book. You’ll start off with a recap of some important cloud concepts, such as IaaS, PaaS, and SaaS. From there, you’ll learn about each relevant solution area, with use cases. The chapters also cover different implementation methodologies, both manual and programmatic – ranging from compute resources such as App Service and serverless applications to storage, database, security, monitoring solutions, and connecting to third-party services. By the end of this book, you'll have learned everything you need to pass the AZ-204 certification exam and have a handy, on-the-job reference guide.What you will learn Develop Azure compute solutions Discover tips and tricks from Azure experts for interactive learning Use Cosmos DB storage and blob storage for developing solutions Develop secure cloud solutions for Azure Use optimization, monitoring, and troubleshooting for Azure solutions Develop Azure solutions connected to third-party services Who this book is for This book is for Azure developers looking to improve their Azure development knowledge to pass the AZ-204 exam. This book assumes at least one year of professional development experience with Azure, with the ability to program in at least one language supported by Azure. Existing Azure CLI and PowerShell skills will also be useful.
T Bytes Digital Customer Experience by IT-Shades Pdf
This document brings together a set of latest data points and publicly available information relevant for Digital Customer Experience Technology. We are very excited to share this content and believe that readers will benefit from this periodic publication immensely.
Building Microservices with Micronaut® by Nirmal Singh,Zack Dawood,The Micronaut® Foundation Pdf
Explore different aspects of building modular microservices such as development, testing, maintenance, and deployment using the Micronaut framework Key FeaturesLearn how to build scalable, fast, and resilient microservices with this concise guideExplore the many advantages of using reflection-free, compile-time dependency injections and aspect-oriented programmingBuild cloud-native applications easily with the Micronaut frameworkBook Description The open source Micronaut® framework is a JVM-based toolkit designed to create microservices quickly and easily. This book will help full-stack and Java developers build modular, high-performing, and reactive microservice-based apps using the Micronaut framework. You'll start by building microservices and learning about the core components, such as ahead-of-time compilation, reflection-less dependency injection, and reactive baked-in HTTP clients and servers. Next, you will work on a real-time microservice application and learn how to integrate Micronaut projects with different kinds of relational and non-relational databases. You'll also learn how to employ different security mechanisms to safeguard your microservices and integrate microservices using event-driven architecture in the Apache Kafka ecosystem. As you advance, you'll get to grips with automated testing and popular testing tools. The book will help you understand how you can easily handle microservice concerns in Micronaut projects, such as service discovery, API documentation, distributed configuration management, fallbacks, and circuit breakers. Finally, you'll explore the deployment and maintenance aspects of microservices and get up to speed with the Internet of Things (IoT) using the Framework. By the end of this book, you'll be able to build, test, deploy, and maintain your own microservice apps using the framework. What you will learnUnderstand why the Micronaut framework is best suited for building microservicesBuild web endpoints and services in the Micronaut frameworkSafeguard microservices using Session, JWT, and OAuth in Micronaut projectsGet to grips with event-driven architecture in Micronaut applicationsDiscover how to automate testing at various levels using built-in tools and testing frameworksDeploy your microservices to containers and cloud platformsBecome well-versed with distributed logging, tracing, and monitoring in Micronaut projectsGet hands-on with the IoT using Alexa and the Micronaut frameworkWho this book is for This book is for developers who have been building microservices on traditional frameworks such as Spring Boot and are looking for a faster alternative. Intermediate-level knowledge of Java programming and implementing web services development in Java is required.
PaaS, IaaS, And SaaS: Complete Cloud Infrastructure by Rob Botwright Pdf
Introducing the Ultimate Cloud Infrastructure Mastery Bundle: PaaS, IaaS, and SaaS - Your Complete Guide from Beginner to Expert! 🌟 Are you ready to skyrocket your cloud expertise? 🌟 Unlock the power of Terraform, GCE, AWS, Microsoft Azure, Kubernetes, and IBM Cloud with this all-encompassing 12-in-1 book bundle! 📘 What's Inside: 1️⃣ "Terraform Essentials": Master infrastructure as code. 2️⃣ "Google Cloud Engine Mastery": Harness Google's cloud power. 3️⃣ "AWS Unleashed": Dominate Amazon Web Services. 4️⃣ "Azure Mastery": Excel with Microsoft's cloud. 5️⃣ "Kubernetes Simplified": Conquer container orchestration. 6️⃣ "IBM Cloud Mastery": Navigate IBM's cloud solutions. 7️⃣ Plus, 5 more essential guides! 🚀 Why Choose Our Bundle? ✅ Comprehensive Learning: From beginner to expert, this bundle covers it all. ✅ Real-World Application: Practical insights for real-world cloud projects. ✅ Step-by-Step Guidance: Clear and concise instructions for every skill level. ✅ Time-Saving: Get all the knowledge you need in one place. ✅ Stay Current: Up-to-date content for the latest cloud technologies. ✅ Affordable: Save big compared to buying individual books! 🔥 Unlock Limitless Possibilities: Whether you're an aspiring cloud architect, a seasoned developer, or a tech enthusiast, this bundle empowers you to: 🌐 Build scalable and efficient cloud infrastructures. 🚀 Deploy and manage applications effortlessly. 📊 Optimize cloud costs and resources. 🔄 Automate repetitive tasks with Terraform. 📦 Orchestrate containers with Kubernetes. 🌩️ Master multiple cloud platforms. 🔐 Ensure security and compliance. 💡 What Our Readers Say: 🌟 "This bundle is a game-changer! I went from cloud novice to cloud expert in no time." 🌟 "The step-by-step guides make complex topics easy to understand." 🌟 "The knowledge in these books is worth every penny. I recommend it to all my colleagues." 🎁 BONUS: Exclusive access to resources, updates, and a community of fellow learners! 🌈 Embark on your cloud journey today! Don't miss out on this limited-time opportunity to become a cloud infrastructure expert. 👉 Click "Add to Cart" now and elevate your cloud skills with the PaaS, IaaS, and SaaS: Complete Cloud Infrastructure bundle! 🔥
Storage Systems: Organization, Performance, Coding, Reliability and Their Data Processing was motivated by the 1988 Redundant Array of Inexpensive/Independent Disks proposal to replace large form factor mainframe disks with an array of commodity disks. Disk loads are balanced by striping data into strips—with one strip per disk— and storage reliability is enhanced via replication or erasure coding, which at best dedicates k strips per stripe to tolerate k disk failures. Flash memories have resulted in a paradigm shift with Solid State Drives (SSDs) replacing Hard Disk Drives (HDDs) for high performance applications. RAID and Flash have resulted in the emergence of new storage companies, namely EMC, NetApp, SanDisk, and Purestorage, and a multibillion-dollar storage market. Key new conferences and publications are reviewed in this book.The goal of the book is to expose students, researchers, and IT professionals to the more important developments in storage systems, while covering the evolution of storage technologies, traditional and novel databases, and novel sources of data. We describe several prototypes: FAWN at CMU, RAMCloud at Stanford, and Lightstore at MIT; Oracle's Exadata, AWS' Aurora, Alibaba's PolarDB, Fungible Data Center; and author's paper designs for cloud storage, namely heterogeneous disk arrays and hierarchical RAID. Surveys storage technologies and lists sources of data: measurements, text, audio, images, and video Familiarizes with paradigms to improve performance: caching, prefetching, log-structured file systems, and merge-trees (LSMs) Describes RAID organizations and analyzes their performance and reliability Conserves storage via data compression, deduplication, compaction, and secures data via encryption Specifies implications of storage technologies on performance and power consumption Exemplifies database parallelism for big data, analytics, deep learning via multicore CPUs, GPUs, FPGAs, and ASICs, e.g., Google's Tensor Processing Units