ITC/USA 2010 Conference Proceedings / The Forty-Sixth Annual International Telemetering Conference and Technical Exhibition / October 25-28, 2010 / Town and Country Resort & Convention Center, San Diego, California / The integrated Network-Enhanced Telemetry (iNET) project has developed standards to enhance telemetry systems for the twenty-first century. A foundational component of these standards is the Metadata Description Language (MDL). MDL is an eXtensible Markup Language (XML)-based language for describing requirements, design choices, and configuration parameters of a Telemetry Network System (TmNS). Within a TmNS, MDL guides the exchange of information between applications and the configuration of network devices. Recent initial evaluations assessed MDL in terms of the expressive power of the language and the level of effort in developing applications that utilize MDL Instance Documents. Performing these initial evaluations required the generation of MDL Instance Documents to describe scenarios representative of both near-term and future telemetry systems that express different levels of iNET interoperability. These initial evaluations determined quantitative metrics such as file size, memory requirements, and required parsing time for MDL Instance Documents, and further evaluations judged the efficacy and complexity of MDL for describing and configuring a TmNS.
| Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/604283 |
| Date | 10 1900 |
| Creators | Moore, Michael S., Price, Jeremy C., Cormier, Andrew R., Thibodeaux, Ryan J., Abbott, Ben A., Malatesta, William A. |
| Contributors | Southwest Research Institute, Naval Air Systems Command (NAVAIR) |
| Publisher | International Foundation for Telemetering |
| Source Sets | University of Arizona |
| Language | en_US |
| Detected Language | English |
| Type | text, Proceedings |
| Rights | Copyright © held by the author; distribution rights International Foundation for Telemetering |
| Relation | http://www.telemetry.org/ |
Page generated in 0.0019 seconds