Download or read book Multi Access Edge Computing in Action written by Dario Sabella and published by CRC Press. This book was released on 2019-09-20 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a complete and strategic overview of Multi-Access Edge Computing (MEC). It covers network and technology aspects, describes the market scenarios from the different stakeholders’ point of view, and analyzes deployment aspects and actions to engage the ecosystem. MEC exists in and supports a highly complex "5G world" in which technologists and non-technology decision makers must act in concert and do so within a large interconnected ecosystem of which MEC is just one, albeit an important, part. Divided into three sections, with several chapters in each, the book addresses these three key aspects: technology, markets, and ecosystems.
Download or read book Multi Access Edge Computing in Action written by Dario Sabella and published by CRC Press. This book was released on 2019-09-20 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a complete and strategic overview of Multi-Access Edge Computing (MEC). It covers network and technology aspects, describes the market scenarios from the different stakeholders’ point of view, and analyzes deployment aspects and actions to engage the ecosystem. MEC exists in and supports a highly complex "5G world" in which technologists and non-technology decision makers must act in concert and do so within a large interconnected ecosystem of which MEC is just one, albeit an important, part. Divided into three sections, with several chapters in each, the book addresses these three key aspects: technology, markets, and ecosystems.
Download or read book Multi access Edge Computing Software Development at the Network Edge written by Dario Sabella and published by Springer Nature. This book was released on 2021-08-21 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: The textbook covers the main aspects of Edge Computing, from a thorough look at the technology to the standards and industry associations working in the field. The book is conceived as a textbook for graduate students but also functions as a working guide for developers, engineers, and researchers. The book aims not only at providing a comprehensive technology and standard reference overview for students, but also useful research insights and practical exercises for edge software developers and investigators in the area (and for students looking to apply their skills). A particular emphasis is given Multi-access Edge Computing (MEC) as defined in European Telecommunications Standards Institute (ETSI), in relationship with other standard organizations like 3GPP, thus in alignment with the recent industry efforts to produce harmonized standards for edge computing leveraging both ETSI ISG MEC and 3GPP specifications. Practical examples of Edge Computing implementation from industry groups, associations, companies and edge developers, complete the book and make it useful for students entering the field. The book includes exercises, examples, and quizzes throughout.
Download or read book Edge Computing written by Javid Taheri and published by IET. This book was released on 2020-07-06 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book aims to focus only on the 'edge computing' paradigm - as opposed to other similar disciplines such as fog computing - due to its unique characteristics where heterogeneous devices can be equipped with decision-making processes and automation procedures to carry out applications (mostly) across widely geographically distributed areas. The book is sectioned into three parts (models, technologies and applications) to reflect complementary viewpoints and shed light onto various aspect of edge computing platforms. The first part (models) serves as an introductory section to differentiate edge computing from its fairly close/similar paradigms such as fog computing, multi-access edge computing and mobile cloud computing. It then highlights various theoretical models through which edge computing systems could be mathematically expressed and their relevant technological problems could be systematically solved or optimized. The second part (technologies) focuses on different technologies (virtualization, networking, orchestration, etc.) where edge computing systems could be realized. And finally, the third part (applications) focuses on various application domains (e.g., smart cities) where edge computing systems could, or already did, help in providing novel services beyond the reach of pure/typical cloud computing solutions.
Download or read book Edge Computing written by K. Anitha Kumari and published by CRC Press. This book was released on 2021-12-22 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: This reference text presents the state-of-the-art in edge computing, its primitives, devices and simulators, applications, and healthcare-based case studies. The text provides integration of blockchain with edge computing systems and integration of edge with Internet of Things (IoT) and cloud computing. It will facilitate readers to setup edge-based environment and work with edge analytics. It covers important topics, including cluster computing, fog computing, networking architecture, edge computing simulators, edge analytics, privacy-preserving schemes, edge computing with blockchain, autonomous vehicles, and cross-domain authentication. Aimed at senior undergraduate, graduate students and professionals in the fields of electrical engineering, electronics engineering, computer science, and information technology, this text: Discusses edge data storage security with case studies and blockchain integration with the edge computing system Covers theoretical methods with the help of applications, use cases, case studies, and examples Provides healthcare real-time case studies elaborated by utilizing the virtues of homomorphic encryption Discusses real-time interfaces, devices, and simulators in detail
Download or read book Mobile Edge Computing written by Yan Zhang and published by Springer Nature. This book was released on 2021-10-01 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an open access book. It offers comprehensive, self-contained knowledge on Mobile Edge Computing (MEC), which is a very promising technology for achieving intelligence in the next-generation wireless communications and computing networks.The book starts with the basic concepts, key techniques and network architectures of MEC. Then, we present the wide applications of MEC, including edge caching, 6G networks, Internet of Vehicles, and UAVs. In the last part, we present new opportunities when MEC meets blockchain, Artificial Intelligence, and distributed machine learning (e.g., federated learning). We also identify the emerging applications of MEC in pandemic, industrial Internet of Things and disaster management.The book allows an easy cross-reference owing to the broad coverage on both the principle and applications of MEC. The book is written for people interested in communications and computer networks at all levels. The primary audience includes senior undergraduates, postgraduates, educators, scientists, researchers, developers, engineers, innovators and research strategists.
Download or read book A Glimpse Beyond 5G in Wireless Networks written by Mohammad Abdul Matin and published by Springer Nature. This book was released on 2022-11-30 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers the latest research findings on emerging trends in 5G and beyond wireless systems. The authors present and assess different enabling technologies, capabilities, and anticipated communications and computing solutions for 5G and beyond. Topics discussed include new frequency bands, new multiple antenna systems, massive D2D connectivity, new network deployment, and more. These discussions help the readers to understand more advanced research materials for developing new ideas to make a contribution in this field for themselves. This book aims to serve as a virtual and effective bridge between academic research in theory and engineering development in practice. Students, professional, and practitioners who seek to learn the latest development in wireless technologies should find interest in this book.
Download or read book Edge Computing written by Fadi Al-Turjman and published by Springer. This book was released on 2018-11-09 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, contributors provide insights into the latest developments of Edge Computing/Mobile Edge Computing, specifically in terms of communication protocols and related applications and architectures. The book provides help to Edge service providers, Edge service consumers, and Edge service developers interested in getting the latest knowledge in the area. The book includes relevant Edge Computing topics such as applications; architecture; services; inter-operability; data analytics; deployment and service; resource management; simulation and modeling; and security and privacy. Targeted readers include those from varying disciplines who are interested in designing and deploying Edge Computing. Features the latest research related to Edge Computing, from a variety of perspectives; Tackles Edge Computing in academia and industry, featuring a variety of new and innovative operational ideas; Provides a strong foundation for researchers to advance further in the Edge Computing domain.
Download or read book Edge Computing A Primer written by Jie Cao and published by Springer. This book was released on 2018-11-01 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt: The success of the Internet of Things and rich cloud services have helped create the need for edge computing, in which data processing occurs in part at the network edge, rather than completely in the cloud. In Edge Computing: A Primer the vision and definition of Edge computing is introduced, as well as several key techniques that enable Edge computing. Then, four applications that benefit from Edge computing are presented as case studies, ranging from smart homes and public safety to medical services, followed by a discussion of several open challenges and opportunities in Edge computing. Finally, several key tools for edge computing such as virtualization and resource management are explained.
Download or read book Reinforcement Learning Frameworks for Server Placement in Multi Access Edge Computing written by Anahita Mazloomi and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the IoT era and with the advent of 5G networks, an enormous amount of data is generated, and new applications require more and more computation power and real-time response. Although cloud computing is a reliable solution to provide computation power, the real-time response is not guaranteed. Thus, the multi-access edge computing (MEC), which consists of distributing the edge servers in the proximity of end-users to have low latency besides the higher processing power, is increasingly becoming a vital factor for the success of modern applications. Edge server placement and task offloading play a crucial role in the efficient design of MEC architecture. There is a finite discrete set of possible solutions, and finding the optimal one is known to be an NP-hard combinatorial optimization problem. Heuristics, mixed-integer programming, and clustering algorithms are among the most widely used approaches to solve this problem. Recently, researchers have investigated reinforcement learning (RL) to solve combinatorial optimization problems, which has shown promising results. In this thesis, we propose novel RL-frameworks for solving the joint problem of edge server placement and base station allocation. There are a few studies that have used RL in placement optimization. In our investigation, the focus is on the modeling part to make the Q-learning applicable for a large scale real-world problem. Therefore, in this research, Q-learning is examined and applied in the edge server placement while considering two significant and striking perspectives. The first one is about minimizing the cost of network design by reducing the delay and the number of edge servers. The second perspective is the placement of K-edge servers to create K-fair-balanced clusters with minimum network delay. Despite the impressive results of RL, its application in real-world scenarios is highly challenging. Throughout our modeling, the faced issues are explained, and our solutions are provided. Besides, the impact of state representation, action space, and penalty function on the convergence is discussed. Extensive experiments using a real-world dataset from Shanghai demonstrate that in the light of efficient penalty function, the agent is able to find the actions that are the source of higher delayed rewards, and our proposed algorithms outperform the other benchmarks by creating a trade-off among multiple objectives.
Download or read book Research Anthology on Edge Computing Protocols Applications and Integration written by Management Association, Information Resources and published by IGI Global. This book was released on 2022-04-01 with total page 719 pages. Available in PDF, EPUB and Kindle. Book excerpt: Edge computing is quickly becoming an important technology throughout a number of fields as businesses and industries alike embrace the benefits it can have in their companies. The streamlining of data is crucial for the development and evolution of businesses in order to keep up with competition and improve functions overall. In order to appropriately utilize edge computing to its full potential, further study is required to examine the potential pitfalls and opportunities of this innovative technology. The Research Anthology on Edge Computing Protocols, Applications, and Integration establishes critical research on the current uses, innovations, and challenges of edge computing across disciplines. The text highlights the history of edge computing and how it has been adapted over time to improve industries. Covering a range of topics such as bandwidth, data centers, and security, this major reference work is ideal for industry professionals, computer scientists, engineers, practitioners, researchers, academicians, scholars, instructors, and students.
Download or read book Cloud Computing written by Jaydip Sen and published by BoD – Books on Demand. This book was released on 2017-06-14 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the era of Internet of Things and with the explosive worldwide growth of electronic data volume, and associated need of processing, analysis, and storage of such humongous volume of data, it has now become mandatory to exploit the power of massively parallel architecture for fast computation. Cloud computing provides a cheap source of such computing framework for large volume of data for real-time applications. It is, therefore, not surprising to see that cloud computing has become a buzzword in the computing fraternity over the last decade. This book presents some critical applications in cloud frameworks along with some innovation design of algorithms and architecture for deployment in cloud environment. It is a valuable source of knowledge for researchers, engineers, practitioners, and graduate and doctoral students working in the field of cloud computing. It will also be useful for faculty members of graduate schools and universities.
Download or read book Resource Allocation in Multi access Edge Computing MEC Systems written by Sheyda Zarandi and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the rapid proliferation of diverse wireless applications, the next generation of wireless networks are required to meet diverse quality of service (QoS) in various applications. The existing one-size-fits-all resource allocation algorithms will not be able to sustain the sheer need of supporting diverse QoS requirements. In this context, radio access network (RAN) slicing has been recently emerged as a promising approach to virtualize networks resources and create multiple logical network slices on a common physical infrastructure. Each slice can then be tailored to a specific application with distinct QoS requirement. This would considerably reduce the cost of infrastructure providers. However, efficient virtualized network slicing is only feasible if network resources are efficiently monitored and allocated. In the first part of this thesis, leveraging on tools from fractional programming and Augmented Lagrange method, I propose an efficient algorithm to jointly optimize users offloading decisions, communication, and computing resource allocation in a sliced multi-cell multi-access edge computing (MEC) network in the presence of interference. The objective is to minimize the weighted sum of the delay deviation observed at each slice from its corresponding delay requirement. The considered problem enables slice prioritization, cooperation among MEC servers, and partial offloading to multiple MEC servers. On another note, due to high computation and time complexity, traditional centralized optimization solutions are often rendered impractical and non-scalable for real-time resource allocation purposes. Thus, the need of machine learning algorithms has become more vital than ever before. To address this issue, in the second part of this thesis, exploiting the power of federated learning (FDL) and optimization theory, I develop a federated deep reinforcement learning framework for joint offloading decision and resource allocation in order to minimize the joint delay and energy consumption in a MEC-enabled internet-of-things (IoT) network with QoS constraints. The proposed algorithm is applied to an IoT network, since the IoT devices suffer significantly from limited computation and battery capacity. The proposed algorithm is distributed in nature, exploit cooperation among devices, preserves the privacy, and is executable on resource-limited cellular or IoT devices.
Download or read book Federated Learning written by Qiang Yang and published by Springer Nature. This book was released on 2020-11-25 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applications. Privacy and incentive issues are the focus of this book. It is timely as federated learning is becoming popular after the release of the General Data Protection Regulation (GDPR). Since federated learning aims to enable a machine model to be collaboratively trained without each party exposing private data to others. This setting adheres to regulatory requirements of data privacy protection such as GDPR. This book contains three main parts. Firstly, it introduces different privacy-preserving methods for protecting a federated learning model against different types of attacks such as data leakage and/or data poisoning. Secondly, the book presents incentive mechanisms which aim to encourage individuals to participate in the federated learning ecosystems. Last but not least, this book also describes how federated learning can be applied in industry and business to address data silo and privacy-preserving problems. The book is intended for readers from both the academia and the industry, who would like to learn about federated learning, practice its implementation, and apply it in their own business. Readers are expected to have some basic understanding of linear algebra, calculus, and neural network. Additionally, domain knowledge in FinTech and marketing would be helpful.”
Download or read book IoT as a Service written by Khaled Rabie and published by Springer Nature. This book was released on 2023-07-18 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th EAI International Conference on IoT as a Service, IoTaaS 2022 was held virtually due to the COVID-19 crisis. The 17 full papers and 10 short papers included in this book were carefully reviewed and selected from 50 submissions. They were organized in topical sections as follows: Next generation wireless networks, Internet of Things, Artificial Intelligence, Wireless Communications, Vehicular Networks, Resource Optimization, Satellite communications and Machine Learning, Network Security.
Download or read book Applications of Big Data in Large and Small Scale Systems written by Goundar, Sam and published by IGI Global. This book was released on 2021-01-15 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: With new technologies, such as computer vision, internet of things, mobile computing, e-governance and e-commerce, and wide applications of social media, organizations generate a huge volume of data and at a much faster rate than several years ago. Big data in large-/small-scale systems, characterized by high volume, diversity, and velocity, increasingly drives decision making and is changing the landscape of business intelligence. From governments to private organizations, from communities to individuals, all areas are being affected by this shift. There is a high demand for big data analytics that offer insights for computing efficiency, knowledge discovery, problem solving, and event prediction. To handle this demand and this increase in big data, there needs to be research on innovative and optimized machine learning algorithms in both large- and small-scale systems. Applications of Big Data in Large- and Small-Scale Systems includes state-of-the-art research findings on the latest development, up-to-date issues, and challenges in the field of big data and presents the latest innovative and intelligent applications related to big data. This book encompasses big data in various multidisciplinary fields from the medical field to agriculture, business research, and smart cities. While highlighting topics including machine learning, cloud computing, data visualization, and more, this book is a valuable reference tool for computer scientists, data scientists and analysts, engineers, practitioners, stakeholders, researchers, academicians, and students interested in the versatile and innovative use of big data in both large-scale and small-scale systems.
Download or read book Performance Evaluation Origins and Directions written by Günter Haring and published by Springer. This book was released on 2003-06-29 with total page 523 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph-like state-of-the-art survey presents the history, the key ideas, the success stories, and future challenges of performance evaluation and demonstrates the impact of performance evaluation on a variety of different areas through case studies in a coherent and comprehensive way. Leading researchers in the field have contributed 19 cross-reviewed topical chapters competently covering the whole range of performance evaluation, from theoretical and methodological issues to applications in numerous other fields. Additionally, the book contains one contribution on the role of performance evaluation in industry and personal accounts of four pioneering researchers describing the genesis of breakthrough results. The book will become a valuable source of reference and indispensable reading for anybody active or interested in performance evaluation.
