Streaming Analytics by Pethuru Raj Division Bangalore India)
In this book, the authors articulate the challenges associated with streaming data and analytics, describe data analytics algorithms and approaches, present edge and fog computing concepts and technologies and show how streaming analytics can be accomplished in edge device clouds. They also delineate several industry use cases.-
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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Edge Computing
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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
Pethuru Raj is the Chief Architect and Vice President in the Site Reliability Engineering (SRE) division of Reliance Jio Platforms Ltd., Bangalore, India. He focuses on emerging technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), big and fast data analytics, blockchain, digital twins, cloud-native computing, edge & fog clouds, reliability engineering, microservices architecture (MSA), and event-driven architecture (EDA). He has authored and edited 20 technology books. He holds a CSIR-sponsored PhD from Anna University, India. Chellammal Surianarayanan is an assistant professor of computer science at Government Arts and Science College, Tiruchirapalli, India. Her contributions include the development of an embedded system for lead shield integrity assessment system, portable automatic air sampling equipment, an embedded system of detection of lymphatic filariasis in its early stage, and the development of data logging software applications for atmospheric dispersion studies. She is a life member of the Computer Society of India and IAENG. She earned a Doctorate in Computer Science by developing computational optimization models for the discovery and selection of semantic services. Koteeswaran Seerangan is an associate professor in the Department of Computer Science and Engineering, School of Computing, and Dean of Research Studies at Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology, India. His research interests include big data and analytics, Internet of Things, and machine learning. He is a member of ACM and the IET, and a senior member of IEEE and life member of ISTE. He holds a PhD in computer science and engineering from Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology, India. George Ghinea is a professor in multimedia computing in the Department of Computer Science at Brunel University, London, UK. His research activities lie at the confluence of computer science, media and psychology. His work focuses on the area of perceptual multimedia quality and how one builds end-to-end communication systems incorporating user perceptual requirements. He has applied his expertise in areas such as eye-tracking, telemedicine, multi-modal interaction, and ubiquitous and mobile computing. He consults regularly for both public and private institutions. He is a member of the IEEE. He holds a PhD in computer science from the University of Reading, UK.
| SKU | Unavailable |
| ISBN 13 | 9781839534164 |
| ISBN 10 | 1839534168 |
| Title | Streaming Analytics |
| Author | Pethuru Raj Division Bangalore India) |
| Series | Computing And Networks |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Institution of Engineering and Technology |
| Year published | 2022-11-04 |
| Number of pages | 468 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |