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Data Science and Big Data Analytics In Smart Environments at Meripustak

Data Science and Big Data Analytics In Smart Environments by Marta Chinnici and Florin Pop and Catalin Negru, Taylor & Francis/CRC Press

Books from same Author: Marta Chinnici and Florin Pop and Catalin Negru

Books from same Publisher: Taylor & Francis/CRC Press

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  • General Information  
    Author(s)Marta Chinnici and Florin Pop and Catalin Negru
    PublisherTaylor & Francis/CRC Press
    ISBN9780367407131
    Pages292
    BindingHardback
    LanguageEnglish
    Publish YearJuly 2021

    Description

    Taylor & Francis/CRC Press Data Science and Big Data Analytics In Smart Environments by Marta Chinnici and Florin Pop and Catalin Negru

    Most applications generate large datasets, like social networking and social influence programs, smart cities applications, smart house environments, Cloud applications, public web sites, scientific experiments and simulations, data warehouse, monitoring platforms, and e-government services. Data grows rapidly, since applications produce continuously increasing volumes of both unstructured and structured data. Large-scale interconnected systems aim to aggregate and efficiently exploit the power of widely distributed resources. In this context, major solutions for scalability, mobility, reliability, fault tolerance and security are required to achieve high performance and to create a smart environment. The impact on data processing, transfer and storage is the need to re-evaluate the approaches and solutions to better answer the user needs. A variety of solutions for specific applications and platforms exist so a thorough and systematic analysis of existing solutions for data science, data analytics, methods and algorithms used in Big Data processing and storage environments is significant in designing and implementing a smart environment.Fundamental issues pertaining to smart environments (smart cities, ambient assisted leaving, smart houses, green houses, cyber physical systems, etc.) are reviewed. Most of the current efforts still do not adequately address the heterogeneity of different distributed systems, the interoperability between them, and the systems resilience. This book will primarily encompass practical approaches that promote research in all aspects of data processing, data analytics, data processing in different type of systems: Cluster Computing, Grid Computing, Peer-to-Peer, Cloud/Edge/Fog Computing, all involving elements of heterogeneity, having a large variety of tools and software to manage them. The main role of resource management techniques in this domain is to create the suitable frameworks for development of applications and deployment in smart environments, with respect to high performance. The book focuses on topics covering algorithms, architectures, management models, high performance computing techniques and large-scale distributed systems.show more



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