rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Big Data Platforms and Applications
    sub title: Case Studies, Methods, Techniques, and Performance Evaluation
  name:
    name part: Pop, Florin.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Neagu, Gabriel.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: sz
    date issued: 2021
    edition: 1st ed. 2021.
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (XVII, 290 pages 97 illustrations, 60 illustrations in color.)
  abstract: This book provides a review of advanced topics relating to the theory, research, analysis and implementation in the context of big data platforms and their applications, with a focus on methods, techniques, and performance evaluation. The explosive growth in the volume, speed, and variety of data being produced every day requires a continuous increase in the processing speeds of servers and of entire network infrastructures, as well as new resource management models. This poses significant challenges (and provides striking development opportunities) for data intensive and high-performance computing, id est, how to efficiently turn extremely large datasets into valuable information and meaningful knowledge. Features: * Presents a comprehensive review of the latest developments in big data platforms * Proposes state-of-the-art technological solutions for important issues in big data processing, resource and data management, fault tolerance, and monitoring and controlling * Covers basic theory, new methodologies, innovation trends, experimental results, and implementations of real-world applications The task of context data management is further complicated by the variety of sources such data derives from, resulting in different data formats, with varying storage, transformation, delivery, and archiving requirements. At the same time rapid responses are needed for real-time applications. With the emergence of cloud infrastructures, achieving highly scalable data management in such contexts is a critical problem, as the overall application performance is highly dependent on the properties of the data management service. Dr. Florin Pop is a professor at the Department of Computer Science and Engineering at the University Politehnica of Bucharest, Romania, and a senior researcher (1st degree) at the Department of Intelligent and Distributed Data Intensive Systems at the National Institute for Research and Development in Informatics, Bucharest, Romania. Dr. Gabriel Neagu i…
  table of contents: 1. Data Center for Smart Issues: Energy and Sustainability Issue -- 2 Apache Spark for Digitalization, Analysis and Optimization of Discrete Manufacturing Process -- 3. An Empirica Study on Teleworking among Slovakia's Office-Based Academics -- 4. DSS for Pro-Active Flood Management of Water Reservoir Systems -- 5. exhiSTORY: Small Self-Organizing Exhibits -- 6. IoT Cloud Design Patterns -- 7. Cloud-based mHealth Streaming for IoT Processing -- 8. A System for Monitoring Water Quality Parameters in Rivers: Challenges and Solutions.
  note: edited by Florin Pop, Gabriel Neagu.
  subject:
    topic: Computer communication systems
  subject:
    topic: Big data
  subject:
    topic: Data structures (Computer science)
  subject:
    topic: Data mining
  subject:
    topic: Information technology
  subject:
    topic: Business-Data processing
  subject:
    topic: Computer Communication Networks
  subject:
    topic: Big Data
  subject:
    topic: Data Storage Representation
  subject:
    topic: Data Mining and Knowledge Discovery
  subject:
    topic: IT in Business
  classification: TK5105.5-5105.9
  classification: 004.6
  related item:
    title info:
      title: Springer Nature eBook
  related item:
    title info:
      title: Computer Communications and Networks
  identifier: 9783030388362
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record creation date: 210928
    record change date: 20230330184845.3
    record identifier: in00004420149