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 and Software Defined Networks
  name:
    name part: Taheri, Javid
    role:
      role term: editor.
  name:
    name part: Institution of Engineering and Technology
  type of resource: text
  origin info:
    place:
      place term: enk
    date issued: 2018
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: remote
    extent: 1 online resource (504 pages)
  abstract: This book, Big Data and Software Defined Networks, aims to investigate areas where Big Data and SDN could help each other in delivering more efficient services. SDN can help Big Data applications to overcome one of their major challenges: message passing among cooperative nodes. Through proper bandwidth allocation and prioritization, critical surges of Big Data flows can be better handled to effectively reduce their impacts on CDCs. Big Data, in turn, could also help SDN controllers to better analyse collected network information and make more efficient decisions about the allocation of resources to different network flows.
  target audience: specialized
  note: Javid Taheri (javid.taheri@kau.se) [Ed].
  subject:
    topic: Resource allocation
  subject:
    topic: Big Data
  subject:
    topic: bandwidth allocation
  subject:
    topic: information analysis
  subject:
    topic: message passing
  subject:
    topic: resource allocation
  subject:
    topic: software defined networking
  subject:
    topic: Big Data
  subject:
    topic: SDN controllers
  subject:
    topic: bandwidth allocation
  subject:
    topic: collected network information analysis
  subject:
    topic: cooperative nodes
  subject:
    topic: message passing
  subject:
    topic: network flows
  subject:
    topic: resource allocation
  subject:
    topic: software defined networks
  classification: TA7 .B543 2018
  related item:
    title info:
      title: Computing
  identifier: 9781785613050
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: UkSgIET
    record creation date: 180523
    record change date: 20210305125307.0
    record identifier: in00004090115
    language of cataloging:
      language term: eng