Supreet had a great post recently about the importance of giving your data model significant design attention, just as you do your system’s performance, determinism, and functionality. (Indeed, you can hardly separate these things.) I’d like to take that theme a bit further, and talk about some of the things RTI Data Distribution Service can [...]
Archive for April, 2009
Data Transparency: Why You Should Care
Posted in Best practices, Standards on April 30, 2009 | 2 Comments »
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.
RTI Message Service: Less is More
Posted in Product news, Standards on April 22, 2009 | Leave a Comment »
RTI Message Service isn’t just the fastest JMS solution out there; it’s also the easiest to use.
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.