Learning-Driven Data Fabrics for Sustainability
Springer International Publishing (Verlag)
978-3-032-09089-8 (ISBN)
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This book explores the distinct problems, trends, and future trajectories for constructing cohesive, sustainable data infrastructures that correspond with the United Nations Sustainable Development Goals (SDGs). In the contemporary digital ecosystem, the amalgamation of data across diverse platforms and environments from cloud to edge to IoT has become imperative for fostering creativity, sustainability, and efficiency. Learning-Driven Data Fabric for Sustainable Cloud-to-Thing Continuum examines the optimization of integration through sophisticated data fabrics enhanced by machine learning and AI. This book initiates its exploration by analyzing the fundamental concepts of a learning-driven data fabric that integrates cloud and IoT ecosystems, facilitating real-time decision-making and minimizing energy consumption. It offers comprehensive insights into how intelligent data management throughout the cloud-to-thing continuum may be utilized to enhance resource efficiency, facilitate smart city planning, and promote advancements in sectors such as healthcare, transportation, and agriculture. This book emphasizes how data fabrics may advance objectives related to affordable and clean energy (SDG 7), industrial innovation (SDG 9), and sustainable cities and communities (SDG 11), with sustainability as its central theme. This book illustrates how learning-driven data architectures are revolutionizing businesses and tackling global challenges through real-world case studies and upcoming trends. Subjects encompass edge computing, real-time data analytics, safe data transmission, and the reduction of carbon footprints via effective data processing. This study examines how data fabrics might alleviate the risks associated with cyberattacks and data breaches, while ensuring regulatory compliance and fostering sustainable, ethical AI operations. This book offers a detailed framework for utilizing data fabric technologies to create sustainable, safe, and intelligent cloud-to-thing ecosystems, regardless of whether you are a data scientist, IoT specialist, cloud architect, or policymaker. This book promotes data-driven decision-making throughout the infrastructure, enabling organizations to design scalable and sustainable solutions that advance global development objectives.
Dr. Prithi Samuel is currently working as an assistant professor in the Department of Computational Intelligence at SRM Institute of Science and Technology, Kattankulathur Campus, Chennai. She has completed her Ph.D. in Information and Communication Engineering from Anna University, Chennai. She has got over 17 years of teaching experience in reputed engineering colleges in Tamil Nadu. She is a pioneer researcher in the areas of Automata Theory, Machine Learning, Deep Learning, Computational Intelligence Techniques, and the Internet of Things. She has published papers in leading International Journals and International Conferences and published books and book chapters in Wiley, Taylor and Francis, Springer and Elsevier. She is an active IEEE, ACM Member and holds an ISTE and IAENG lifetime membership.
Dr. A. Daniel is working as an associate professor in Amity University Madhya Pradesh. He has 14 years of experience in Academic field. He has 40 publications on Scopus and 11 papers in SCIE. He has published 13 patents including 2 grants. He published 5 Scopus indexed Edited books also. He has membership in various professional bodies.
Dr. Balamurugan Balusamy is currently working as an associate dean student in Shiv Nadar University, Delhi-NCR. Prior to this assignment he was Professor, School of Computing Sciences & Engineering and Director International Relations at Galgotias University, Greater Noida, India. His contributions focuses on Engineering Education, Block chain and Data Sciences. His Academic degrees and twelve years of experience working as a Faculty in a global University like VIT University, Vellore has made him more receptive and prominent in his domain. He does have 200 plus high impact factor papers in Springer, Elsevier and IEEE. He has done more than 80 Edited and authored books and collaborated with eminent professors across the world from top QS ranked university. Prof. Balamurugan Balusamy has served up to the position of Associate Professor in his stint of 12 years of experience with VIT University, Vellore.
Dr. Liza Macasukit Gernal is a distinguished academic with over two decades of experience in the field, having contributed her expertise in various countries such as the Philippines, Oman, and the United Arab Emirates. Dr. Gernal holds a Ph.D. in Management from the prestigious University of Liverpool in the United Kingdom, as well as a Doctor in Management from Liceo de Cagayan University in the Philippines. To further her academic journey, she is a candidate for her AQ Bridge to Business program at the University of Toledo in Ohio, USA. Dr. Gernal is renowned for her groundbreaking research, which delves into the profound impact of human activities on ecosystems. Her work has gained widespread recognition and acclaim within academic circles and has played a pivotal role in shaping policy discussions on environmental sustainability and resource management.
Dr. Chander Prabha is currently working as a professor in the Department of Computer Science and Engineering at Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India. She had done her Ph.D. (Computer Science Engineering) in 2017 and her ME in 2004. More than 20+ Years of Academic/Research Experience with many Publications at various National and International Conferences and International Journals. She has published many book chapters in CRC Press, Elsevier, IGI, and Wiley. She is the guest editor journal of Artificial Intelligence and Internet of Things, Near East University, Turkey. Recently, she is selected as a member of the Editorial Board of PLOS One Journal having an H-Index of 435. Also serves as an editor and reviewer of many international conferences and Journals of repute. Many online certifications are also there in her credit.
1. Learning-Driven Data Fabric Evolution: A Thorough Overview.- 2. Cloud-to-Thing Continuum: Connecting IoT Devices and Cloud Infrastructures.- 3. Advances and Considerations for Machine Learning Integration in Data Fabric.- 4. Data Interoperability: Enabling Smooth Cross-Platform Communication.- 5. Security Issues in Data Fabric Driven by Learning.- 6. Scalability Considerations: Fulfilling the Increasing Data Requirements.- 7. Dynamics of Edge Computing in the Cloud-To-Thing Continuum.- 8. Learning-Driven Data Fabric: Innovations and Applications for Real-Time Insights.- 9. Psychological Resilience in Data-Driven Workflows.- 10. Learning-Driven Data Fabric Innovations: Current Advancements.- 11. Adaptive Data Fabric: Flexible Adaptation to Changing Circumstances.- 12. Human-Machine Cooperation in Data Fabric Driven by Learning.- 13. Privacy-Preserving Data Fabric: Judging Between Confidentiality and Utility.- 14. Learning-Driven Data Fabric Governance: Standards and Regulatory Compliance.- 15. Human-Machine Synergy in Learning-Driven Data Fabrics.
| Erscheinungsdatum | 29.11.2025 |
|---|---|
| Reihe/Serie | Sustainable Artificial Intelligence-Powered Applications |
| Zusatzinfo | IV, 238 p. 67 illus., 58 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 210 x 279 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Naturwissenschaften ► Biologie ► Ökologie / Naturschutz | |
| Naturwissenschaften ► Geowissenschaften | |
| Schlagworte | Artificial Intelligence (AI) • Clean energy technologies • Cloud-to-Thing Continuum • data integration • edge computing • Industry 4.0, Data Management • Intelligent Data Processing • Internet of Things (IoT) • Learning-Driven Data Fabric • Machine Learning (ML) • real-time data analytics • smart cities • Smart Healthcare Systems • Sustainable Development Goals (SDGs) • Sustainable Digital Ecosystems |
| ISBN-10 | 3-032-09089-X / 303209089X |
| ISBN-13 | 978-3-032-09089-8 / 9783032090898 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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