On cool and clear afternoons in the San Francisco Bay Area, I often see jet contrails going north to south. I imagine passengers jets from East Asia or cargo jets from Anchorage, Alaska flying to Los Angeles (LAX). While it would be logical to assume these lines trace straight line paths between airports, aircraft fly [...]
Archive for the ‘Applications’ Category
Highways in the Sky
Posted in Applications, tagged aerospace, ATM, UAV on March 4, 2010 | Leave a Comment »
NASA HRS Program and RTI
Posted in Applications on November 19, 2009 | Leave a Comment »
Yesterday’s press release on RTI’s success with the NASA Human Robotics Program is a great occasion for my first blog entry. (http://www.rti.com/company/news/NASA-space-robots.html)
NASA was RTI’s first customer. In fact, NASA funded the research at the Stanford Aerospace Robotics Laboratory that spawned the technology that became RTI and the DDS standard.
The progress in the NASA program during [...]
Developing Cyber Situational Awareness for Enterprise Health
Posted in Applications on June 16, 2009 | Leave a Comment »
Today’s distributed systems are capable of producing a large amount of information, both on the status of their own and external components. The challenge is not the lack of information but finding what is needed when it is needed.
Is Physics holding you back?
Posted in Applications, Best practices on April 28, 2009 | Leave a Comment »
One of the more interesting aspects of distributed application development is to be aware of the physics involved in the deployment. Any signal experiences a propagation delay resulting from the finite speed of light, which is about 300,000 kilometers per second, or 1 nanosecond per foot. While getting a faster middleware such as RTI Data Distribution Service is part of the solution, the comprehensive way to address this issue is by distributing the intelligence in the network.
Designing information models for distributed applications
Posted in Applications, Best practices, Future directions on April 20, 2009 | Leave a Comment »
The technologists in edge environment spend significant time tuning the network links, but they often miss opportunities to make optimal use of available bandwidth by not focusing (enough) on tuning the data model. This (relative) lack of attention to the data model, while regrettable, can be better understood if we account that until recently, edge devices were weak (could not collect or process enough information), few (not choking the network, though bandwidth is always an issue), or not (richly) context-aware (taking advantage of other information available on the network) The science of tuning the information model for a distributed application can benefit from the advances in building information models for the enterprise applications.