ADVANCED TELEMETRY PROCESSING SYSTEM (ATPS)
dc.contributor.author | Finegan, Brian H. | |
dc.contributor.author | Singer, Gary | |
dc.date.accessioned | 2016-05-06T22:02:17Z | en |
dc.date.available | 2016-05-06T22:02:17Z | en |
dc.date.issued | 1994-10 | en |
dc.identifier.issn | 0884-5123 | en |
dc.identifier.issn | 0074-9079 | en |
dc.identifier.uri | http://hdl.handle.net/10150/608547 | en |
dc.description | International Telemetering Conference Proceedings / October 17-20, 1994 / Town & Country Hotel and Conference Center, San Diego, California | en_US |
dc.description.abstract | The Advanced Telemetry Processing System (ATPS) is the result of a joint development project between Harris Corporation and Veda Systems, Incorporated. The mission of the development team was to produce a high-performance, cost-effective, supportable telemetry system; one that would utilize commercial-off-the-shelf (COTS) hardware and software, thereby eliminating costly customization typically required for range and telemetry applications. A critical element in the 'cost-effective, supportable' equation was the ability to easily incorporate system performance upgrades as well as future hardware and software technology advancements. The ATPS combines advanced hardware and software technology that includes a high-speed, top-down data management environment; a mature man-machine interface; a B1-level Trusted operating system and network; and stringent real-time multiprocessing capabilities into a single, fully integrated, 'open' platform. In addition, the system incorporates a unique direct memory transfer feature that allows incoming data to pass directly into local memory space where it can be displayed and analyzed, thereby reducing I/O bottleneck and freeing processors for other specialized tasks. | |
dc.description.sponsorship | International Foundation for Telemetering | en |
dc.language.iso | en_US | en |
dc.publisher | International Foundation for Telemetering | en |
dc.relation.url | http://www.telemetry.org/ | en |
dc.rights | Copyright © International Foundation for Telemetering | en |
dc.subject | B1-level Trusted operating system | en |
dc.subject | commercia-off-the-shelf | en |
dc.subject | real-time multiprocessing | en |
dc.title | ADVANCED TELEMETRY PROCESSING SYSTEM (ATPS) | en_US |
dc.type | text | en |
dc.type | Proceedings | en |
dc.contributor.department | Harris Computer Systems Corporation | en |
dc.contributor.department | Harris Corporation | en |
dc.identifier.journal | International Telemetering Conference Proceedings | en |
dc.description.collectioninformation | Proceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection. | en |
refterms.dateFOA | 2018-08-18T19:56:16Z | |
html.description.abstract | The Advanced Telemetry Processing System (ATPS) is the result of a joint development project between Harris Corporation and Veda Systems, Incorporated. The mission of the development team was to produce a high-performance, cost-effective, supportable telemetry system; one that would utilize commercial-off-the-shelf (COTS) hardware and software, thereby eliminating costly customization typically required for range and telemetry applications. A critical element in the 'cost-effective, supportable' equation was the ability to easily incorporate system performance upgrades as well as future hardware and software technology advancements. The ATPS combines advanced hardware and software technology that includes a high-speed, top-down data management environment; a mature man-machine interface; a B1-level Trusted operating system and network; and stringent real-time multiprocessing capabilities into a single, fully integrated, 'open' platform. In addition, the system incorporates a unique direct memory transfer feature that allows incoming data to pass directly into local memory space where it can be displayed and analyzed, thereby reducing I/O bottleneck and freeing processors for other specialized tasks. |