Linux based software for Data Collection from Campbell Data Loggers - PowerPoint PPT Presentation

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Linux based software for Data Collection from Campbell Data Loggers

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A Web-based Interface for ARM Data Stream Dependency Tool. Chaomei Lo, Sutanay Choudhury, Brian Ermold, Todd Halter, Matt Macduff ... – PowerPoint PPT presentation

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Title: Linux based software for Data Collection from Campbell Data Loggers


1
A Web-based Interface for ARM Data Stream
Dependency Tool
Chaomei Lo, Sutanay Choudhury, Brian Ermold, Todd
Halter, Matt Macduff
Objective
This web-based interface tool is used to
retrieve the information on ARM data
streams and present it in a tree diagram.
Current Status
  • User can specify a data stream based on a site
    and a facility name and
  • retrieve the following information
  • Track all datastreams that are used to create
    this datastream.
  • Track all datastreams that use this datastream
    as input.
  • Track what type of process created this
    datastream (VAP, INGEST,
  • Collection, etc.)
  • Track which process (process name) created this
    datastream.

Implementation
CLIENT SIDE DESIGN Adobe flex 2, a rich internet
application (RIA) framework is used to create an
expressive, high performance web browser based
interface. SERVER SIDE DESIGN Java Servlet
technology with Apache Tomcat Servlet container.
DATA SOURCE Retrieved from ARCF DSDB database,
the combination of XML and JSON technologies are
used to serialize the data across the network.
GRAPH LAYOUT Implemented Sugiyamas graph layout
algorithm in Java.
Proposed Future Extensions
  • Be integrated with DOD, BODS, DSView and other
    ARM information systems.
  • Track if an input datastream is required or
    recommended.
  • Track if a datastream is active/inactive, exists,
    and the reason.
  • Track which fields in a datastream were used to
    create the next datastream.
  • Track which datastreams provide a particular
    field.
  • Track priority of multiple input datastreams used
    for the same type of information.
  • Track which VAPs not to run when a datastream is
    down.
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