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 for Urban Sustainability
    sub title: A Human-Centered Perspective
  name:
    name part: Wang, Stephen Jia.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Moriarty, Patrick.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 160 p. 14 illus., 9 illus. in color. online resource.
  abstract: This book presents a practical framework for the application of big data, cloud, and pervasive and complex systems to sustainable solutions for urban environmental challenges. It covers the technologies, potential, and possible and impact of big data on energy efficiency and the urban environment. The book first introduces key aspects of big data, cloud services, pervasive computing, and mobile technologies from a pragmatic design perspective, including sample open source firmware. Cloud services, mobile and embedded platforms, interfaces, operating system design methods, networking, and middleware are all considered. The authors then explore in detail the framework, design principles, architecture and key components of developing energy systems to support sustainable urban environments. The included case study provides a pathway to improve the eco-efficiency of urban transport, demonstrating how to design an energy efficient next generation urban navigation system by leveraging vast cloud data sets on user-behavior. Ultimately, this resource maps big data's pivotal intersection with rapid global urbanization along the path to a sustainable future.
  table of contents: Part I Features of Big data Systems -- Big Data Introduction.-Big data Systems landscape/ overview -- Part II Developing Sustainable Big data systems -- The trends of Big data systems -- Platform Architecture -- Reference Architecture -- ISUNS system design (Case Study) -- Part III Future Development to Enhance Eco-efficiency -- Potential Applications for Big data systems -- Performance Evaluation.
  note: by Stephen Jia Wang, Patrick Moriarty.
  subject:
    topic: Renewable energy resources
  subject:
    topic: Sustainable development
  subject:
    topic: Software engineering
  subject:
    topic: Transportation engineering
  subject:
    topic: Traffic engineering
  subject:
    topic: Renewable and Green Energy
  subject:
    topic: Sustainable Development
  subject:
    topic: Software Engineering
  subject:
    topic: Transportation Technology and Traffic Engineering
  classification: TJ807-830
  classification: 621.042
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783319736105
  identifier: https://doi.org/10.1007/978-3-319-73610-5
  record info:
    record creation date: 180322
    record change date: 20191021223214.0
    record identifier: 978-3-319-73610-5