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: Improvements in distribution of meteorological data using application layer multicast
  name:
    name part: Shah, Saurin Bipin
    name part: 1982-
    role:
      role term: creator
  name:
    name part: Pike, Scott M.
    role:
      role term: thesis advisor.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: txu
    date issued: 2007
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: remote
  abstract: The Unidata Program Center is an organization working with the University Center for Atmospheric Research (UCAR), in Colorado. It provides a broad variety of meteorological data, which is used by researchers in many real-world applications.This data is obtained from observation stations and distributed to various universities worldwide, using Unidata's own Internet Data Distribution (IDD) system, and software called the Local Data Manager (LDM). The existing solution for data distribution has many limitations, like high end-to end latency of data delivery, increased bandwidth usage at some nodes, poor scalability for future needs and manual intervention for adjusting to changes or faults in the network topology. Since the data is used in so many applications, the impact of these limitations is often substantial. This thesis removes these limitations by suggesting improvements in the IDD system and the LDM. We present new algorithms for constructing an application-layer data distribution network. This distribution network will form the basis of the improved LDM and the IDD system, and will remove most of the limitations given above. Finally, we perform simulations and show that our algorithms achieve better average end-to-end latency as compared to that of the existing solution. We also compare the performance of our algorithms with a randomized solution. We find that for smaller topologies (where the number of nodes in the system are less than 38) the randomized solution constructs efficient distribution networks. However, if the number of nodes in the system increases (more than 38), our solution constructs efficient distribution networks than the randomized solution. We also evaluate the performance of our algorithms as the number of nodes in the system increases and as the number of faults in the system increases. We find that even if the number of faults in the system increases, the average end-to-end latency decreases, thus showing that the distribution topolog…
  note: by Saurin Bipin Shah.
  note: "Major Subject: Computer Science"
  note: Title from author supplied metadata (automated record created on Apr. 27, 2007.)
  note: Vita.
  note: Abstract.
  note: Electronic resource.
  note: Mode of access: World Wide Web.
  note: System requirements: World Wide Web access and Adobe Acrobat Reader.
  note: M. S. Texas A&M University 2006.
  note: Includes bibliographical references.
  note: Text (Thesis).
  subject:
    topic: Major computer science
  subject:
    topic: Application Layer Multicast
  subject:
    topic: Data distribution
  subject:
    topic: Multicast
  subject:
    topic: Meteorological
  identifier: http://hdl.handle.net/1969.1/4798
  record info:
    record content source: TXA
    record creation date: 070602
    record change date: 20151105052449.0
    record identifier: in00002244907