| 书目名称 | Fog Data Analytics for IoT Applications | | 副标题 | Next Generation Proc | | 编辑 | Sudeep Tanwar | | 视频video | | | 概述 | Presents case studies to demonstrate the process model for tackling future challenges associated with FDA.Discusses the layered architecture of FDA and also compares the life cycle of both big data an | | 丛书名称 | Studies in Big Data | | 图书封面 |  | | 描述 | This book discusses the unique nature and complexity of fog data analytics (FDA) and develops a comprehensive taxonomy abstracted into a process model. The exponential increase in sensors and smart gadgets (collectively referred as smart devices or Internet of things (IoT) devices) has generated significant amount of heterogeneous and multimodal data, known as big data. To deal with this big data, we require efficient and effective solutions, such as data mining, data analytics and reduction to be deployed at the edge of fog devices on a cloud. Current research and development efforts generally focus on big data analytics and overlook the difficulty of facilitating fog data analytics (FDA). This book presents a model that addresses various research challenges, such as accessibility, scalability, fog nodes communication, nodal collaboration, heterogeneity, reliability, and quality of service (QoS) requirements, and includes case studies demonstrating its implementation. Focusing on FDAin IoT and requirements related to Industry 4.0, it also covers all aspects required to manage the complexity of FDA for IoT applications and also develops a comprehensive taxonomy. | | 出版日期 | Book 2020 | | 关键词 | Big Data; Fog Data Analytics; Data Collection; Data Reduction; Data Analysis; Data Security & Privacy; Sys | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-15-6044-6 | | isbn_softcover | 978-981-15-6046-0 | | isbn_ebook | 978-981-15-6044-6Series ISSN 2197-6503 Series E-ISSN 2197-6511 | | issn_series | 2197-6503 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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发表于 2025-3-21 18:48:37
