Shuiguang Deng – författare
1 876 kr
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733 kr
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865 kr
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The 9 full papers were carefully reviewed and selected from 21 submissions. The papers are organized in two topical tracks: mobile application and deep learning, and mobile application with data analysis.
733 kr
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865 kr
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This graduate-level textbook is ideally suited for lecturing the most relevant topics of Edge Computing and its ties to Artificial Intelligence (AI) and Machine Learning (ML) approaches. It starts from basics and gradually advances, step-by-step, to ways AI/ML concepts can help or benefit from Edge Computing platforms.
The book is structured into seven chapters; each comes with its own dedicated set of teaching materials (practical skills, demonstration videos, questions, lab assignments, etc.). Chapter 1 opens the book and comprehensively introduces the concept of distributed computing continuum systems that led to the creation of Edge Computing. Chapter 2 motivates the use of container technologies and how they are used to implement programmable edge computing platforms. Chapter 3 introduces ways to employ AI/ML approaches to optimize service lifecycles at the edge. Chapter 4 goes deeper in the use of AI/ML and introduces ways to optimize spreading computational tasks alongedge computing platforms. Chapter 5 introduces AI/ML pipelines to efficiently process generated data on the edge. Chapter 6 introduces ways to implement AI/ML systems on the edge and ways to deal with their training and inferencing procedures considering the limited resources available at the edge-nodes. Chapter 7 motivates the creation of a new orchestrator independent object model to descriptive objects (nodes, applications, etc.) and requirements (SLAs) for underlying edge platforms.
To provide hands-on experience to students and step-by-step improve their technical capabilities, seven sets of Tutorials-and-Labs (TaLs) are also designed. Codes and Instructions for each TaL is provided on the book website, and accompanied by videos to facilitate their learning process.
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This book introduces readers to the background and principles of mobile service computing. It discusses various aspects of service computing in mobile environments, including key methods and techniques for service selection, recommendation, composition, offloading, execution, deployment, and provision.
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1 633 kr
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2 118 kr
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Convergence in crossover service explores the crossover phenomenon, crossover services and the convergence issues that arise in typical crossover scenarios. Unlike traditional service integration, crossover services need to realize multidimensional convergence of pattern, design, run-time environment, quality, and value.
This book creatively proposes a framework of crossover service pattern modeling, simulation, evaluation, and convergence to achieve quantitative calculation and analysis of crossover service patterns. Also, this book provides a requirements convergence modeling and analysis framework to support crossover services requirements analysis and design. In the meantime, authors develop a new crossover service network architecture to achieve efficient governance of large-scale crossover services and construct an evaluation and optimization system for service quality and value. In the case of the rural Taobao scenario, the theory and engineering methods presented in this book can provide better solutions for crossover convergence.This book is of great interest to researchers and academics wishing to see what crossover services are, how they are implemented, and what benefits they bring.1 633 kr
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Service-Oriented Computing
23rd International Conference, ICSOC 2025, Shenzhen, China, December 1–4, 2025, Proceedings, Part I
922 kr
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1 141 kr
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Service-Oriented Computing
23rd International Conference, ICSOC 2025, Shenzhen, China, December 1–4, 2025, Proceedings, Part II
744 kr
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944 kr
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