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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.
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.
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.
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.
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.
TAGLINE Unleash the Power of AWS Serverless Services for Scalable, Resilient, and Reactive Architectures KEY FEATURES ● Master the art of leveraging AWS serverless services to build robust event-driven systems. ● Gain expertise in implementing advanced event-driven patterns in AWS. ● Develop advanced skills in production-ready practices for testing, monitoring, and optimizing event-driven microservices in AWS. DESCRIPTION In the book Mastering Event-Driven Microservices in AWS, author Lefteris Karageorgiou takes you on a comprehensive journey through the world of event-driven architectures and microservices. This practical guide equips you with the knowledge and skills to design, build, and operate resilient, scalable, and fault-tolerant systems using AWS serverless services. Through concrete examples and code samples, you'll learn how to construct real-world event-driven microservices architectures, such as point-to-point messaging, pub/sub messaging, event streaming, and advanced architectures like event sourcing, CQRS, circuit breakers, and sagas. Leveraging AWS services like AWS Lambda, Amazon API Gateway, Amazon EventBridge, Amazon SQS, Amazon SNS, Amazon SQS, AWS Step Functions, and Amazon Kinesis, you'll gain hands-on experience in building robust event-driven applications. The book goes beyond just theory and delves into production-ready practices for testing, monitoring, troubleshooting, and optimizing your event-driven microservices. By the end of this comprehensive book, you'll have the confidence and expertise to design, build, and run mission-critical event-driven microservices in AWS, empowering you to tackle complex distributed systems challenges with ease. Whether you're an experienced developer or a team looking to stay ahead of the curve, Mastering Event-Driven Microservices in AWS is an essential resource that will equip you with the tools and knowledge necessary to harness the power of event-driven microservices in the AWS ecosystem. WHAT WILL YOU LEARN ● Design and implement event-driven microservices on AWS seamlessly. ● Leverage AWS serverless services more effectively. ● Build robust, scalable, and fault-tolerant event-driven applications on AWS. ● Implement advanced event-driven patterns on AWS. ● Monitor and troubleshoot event-driven microservices on AWS effectively. ● Secure and optimize event-driven microservices for production workloads on AWS. WHO IS THIS BOOK FOR? This book is an invaluable resource for developers, architects, and engineers who want to build scalable and efficient applications on the AWS platform using event-driven microservices architecture. It is tailored for professionals with prior experience in cloud computing and microservices development, providing them with the necessary knowledge and skills to leverage AWS serverless services effectively for designing and implementing event-driven microservices. TABLE OF CONTENTS 1. Introduction to Event-Driven Microservices 2. Designing Event-Driven Microservices in AWS 3. Messaging with Amazon SQS and Amazon SNS 4. Choreography with Amazon EventBridge 5. Orchestration with AWS Step Functions 6. Event Streaming with Amazon Kinesis 7. Testing Event-Driven Systems 8. Monitoring and Troubleshooting 9. Optimizations and Best Practices for Production 10. Real-World Use Cases on AWS Index
"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.
Unlock the Potential of Scalable and Serverless Data with "Mastering Amazon DynamoDB Database" In today's data-centric world, the ability to efficiently manage and scale databases is a cornerstone of success. "Mastering Amazon DynamoDB Database" is your comprehensive guide to mastering one of the most robust and versatile NoSQL databases available – Amazon DynamoDB. Whether you're a seasoned data professional or a newcomer to NoSQL technology, this book equips you with the knowledge and skills needed to harness the full capabilities of Amazon DynamoDB. About the Book: "Mastering Amazon DynamoDB Database" takes you on a transformative journey through the intricacies of this dynamic NoSQL database. From fundamental concepts to advanced techniques, you'll explore DynamoDB's architecture, data model, and powerful features. Each chapter is meticulously crafted to provide both a deep understanding of the concepts and practical applications in real-world scenarios. Key Features: · DynamoDB Fundamentals: Lay a solid foundation by delving into DynamoDB's architecture, data model, and the principles that make it a leader in distributed databases. · Data Modeling: Learn how to design efficient schema structures that optimize storage, access patterns, and query performance in DynamoDB. · Serverless Scalability: Explore DynamoDB's seamless scalability, taking advantage of its serverless nature to accommodate growing workloads without manual intervention. · Advanced Querying: Master DynamoDB's powerful query capabilities, including filtering, indexing, and advanced querying techniques that enable complex data retrieval. · Best Practices: Dive into best practices for data modeling, indexing strategies, partition key selection, and managing read and write capacity to ensure optimal performance. · Real-World Applications: Gain insights from real-world use cases across industries, from e-commerce and gaming to IoT and beyond, showcasing DynamoDB's adaptability. · Integration and Ecosystem: Explore DynamoDB's integration with other AWS services, APIs, and developer tools, empowering you to build end-to-end solutions. · Advanced Topics: Uncover advanced concepts such as transactions, backups, global tables, security mechanisms, and best practices for disaster recovery. Who This Book Is For: "Mastering Amazon DynamoDB Database" caters to developers, data engineers, solution architects, and anyone interested in leveraging the power of NoSQL databases. Whether you're seeking to enhance your skills or dive into the world of serverless databases, this book provides the insights and tools to navigate DynamoDB's intricacies. Why You Should Read This Book: In an era where scalability and performance are paramount, Amazon DynamoDB shines as a cornerstone of data management. "Mastering Amazon DynamoDB Database" empowers you to fully harness its capabilities, enabling you to build highly available applications, deliver seamless user experiences, and scale effortlessly. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com
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.
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.