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Edge Computing - Models, Technologies and Applications (Hardcover): Javid Taheri, Shuiguang Deng Edge Computing - Models, Technologies and Applications (Hardcover)
Javid Taheri, Shuiguang Deng
R4,213 R3,790 Discovery Miles 37 900 Save R423 (10%) Ships in 10 - 15 working days
Mobile Service Computing (Hardcover, 1st ed. 2020): Shuiguang Deng, Hongyue Wu, Jianwei Yin Mobile Service Computing (Hardcover, 1st ed. 2020)
Shuiguang Deng, Hongyue Wu, Jianwei Yin
R5,383 Discovery Miles 53 830 Ships in 12 - 19 working days

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.

Mobile Service Computing (Paperback, 1st ed. 2020): Shuiguang Deng, Hongyue Wu, Jianwei Yin Mobile Service Computing (Paperback, 1st ed. 2020)
Shuiguang Deng, Hongyue Wu, Jianwei Yin
R5,363 Discovery Miles 53 630 Ships in 10 - 15 working days

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.

Edge Intelligence - From Theory to Practice (Paperback, 1st ed. 2023): Javid Taheri, Schahram Dustdar, Albert Zomaya, Shuiguang... Edge Intelligence - From Theory to Practice (Paperback, 1st ed. 2023)
Javid Taheri, Schahram Dustdar, Albert Zomaya, Shuiguang Deng
R1,976 Discovery Miles 19 760 Ships in 10 - 15 working days

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 along edge 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.

Mobile Computing, Applications, and Services - 12th EAI International Conference, MobiCASE 2021, Virtual Event, November 13-14,... Mobile Computing, Applications, and Services - 12th EAI International Conference, MobiCASE 2021, Virtual Event, November 13-14, 2021, Proceedings (Paperback, 1st ed. 2022)
Shuiguang Deng, Albert Zomaya, Ning Li
R1,944 Discovery Miles 19 440 Ships in 10 - 15 working days

This book constitutes the thoroughly refereed post-conference proceedings of the 12th International Conference on Mobile Computing, Applications, and Services, MobiCASE 2021, held in November 2021. Due to COVID-19 pandemic the conference was held virtually. 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.

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