Edge Computing by Javid Taheri
This book provides valuable insights for ICTs engineers, scientists, researchers, developers and practitioners who are involved in developing and implementing edge and cloud-based solutions ranging from sensors and actuators to cloud-based back-end systems.-
UML for Systems Engineering
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Generative AI for Multimedia Content Processing, Security and Privacy
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The Power of Large Language Models and AI in the Digital Age
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Modelling Enterprise Architectures
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Knowledge Discovery and Data Mining
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Generative AI for Sign Language Recognition and Translation
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Managing Complexity in Software Engineering
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Semi-custom IC Design and VLSI
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Ultrascale Computing Systems
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The Digital Twin Handbook
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Matrix Factorization for Multimedia Clustering
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Trustworthy Autonomic Computing
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AIoT Technologies and Applications for Smart Environments
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Intelligent Network Design Driven by Big Data Analytics, IoT, AI and Cloud Computing
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Demystifying Graph Data Science
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Energy Optimization and Security in Federated Learning for IoT Environments
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Big Data Recommender Systems
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Blockchains for Network Security
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Network Classification for Traffic Management
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Intelligent Distributed Video Surveillance Systems
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AI for Emerging Verticals
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Big Data and Software Defined Networks
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Security and Privacy for Big Data, Cloud Computing and Applications
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Intelligent Multimedia Technologies for Financial Risk Management
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E-learning Methodologies
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Many-Core Computing
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Big Data-Enabled Internet of Things
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Generative AI Unleashed
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Explainable Artificial Intelligence for Trustworthy Internet of Things
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Streaming Analytics
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ReRAM-based Machine Learning
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Nature-inspired Optimization Algorithms and Soft Computing
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Advanced Networking Technologies
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Virtual Reality and Light Field Immersive Video Technologies for Real-World Applications
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Federated Learning for Multimedia Data Processing and Security in Industry 5.0
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Engineering the Metaverse
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Personal Knowledge Graphs (PKGs)
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Trusted Platform Modules
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Explainable Artificial Intelligence (XAI)
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Earth Observation Data Analytics Using Machine and Deep Learning
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Graphical Programming Using LabVIEW
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Computer Vision and Recognition Systems Using Machine and Deep Learning Approaches
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Managing Internet of Things Applications across Edge and Cloud Data Centres
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Enabling Technologies for Smart Fog Computing
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Intelligent Multimedia Processing and Computer Vision
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Access Control and Security Monitoring of Multimedia Information Processing and Transmission
Javid Taheri is a full professor at the Department of Computer Science of Karlstad University, Sweden. His areas of interest include profiling, modelling and optimization techniques for private and public cloud infrastructures and software-defined networks, and network-aware scheduling algorithms for edge, cloud and green computing. He is the recipient of the prestigious IEEE TSCS-MCR award in 2019. He is the editor of the IET book Big Data and Software Defined Networks in 2018 (ISBN: 978-1-78561-304-3).
Shuiguang Deng is a full professor in the College of Computer Science and Technology, Zhejiang University, China, where he received a PhD degree in Computer Science. His research interests include edge computing, service computing, mobile computing and business process management. He serves as associate editor for the journals IEEE Access and IET Cyber-Physical Systems: Theory & Applications. He has published three monographs. In 2018, he was granted the Rising Star Award by IEEE TCSVC.
| SKU | Unavailable |
| ISBN 13 | 9781785619403 |
| ISBN 10 | 1785619403 |
| Title | Edge Computing |
| Author | Javid Taheri |
| Series | Computing And Networks |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Institution of Engineering and Technology |
| Year published | 2020-08-31 |
| Number of pages | 476 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |