United States of America (Press Release) April 14, 2008 --
SAN JOSE, CA, Embedded Systems Conference–April 15, 2008 – Real-Time Innovations (RTI), The Real-Time Middleware Experts, announced today support for lossy networks in RTI Data Distribution Service 4.3. Lossy networks – those that have uncertain or sporadic connectivity – are common in a variety of applications, such as defense, unmanned vehicles, oil production and other resource-management applications.
Most distributed systems today rely on messaging middleware that uses the Transmission Control Protocol (TCP) for inter-application and inter-node communication. TCP is popular because it provides reliable delivery of messages and data. However, TCP has characteristics that make it undesirable for use in real-time applications where the underlying network itself is not reliable.
RTI provides a built-in transport that is Internet Protocol (IP)-based and employs the User Datagram Protocol (UDP). RTI also provides a completely tunable reliability model to optimize transport utilization over transient, high-delay, bandwidth-limited and lossy networks.
“RTI’s support for reliable messaging and data distribution over unreliable networks gives developers an off-the-shelf, standards-compliant alternative to developing proprietary communication software,” said David Barnett, vice president of Marketing at RTI. “RTI can be used in systems that are deployed in challenging, non-enterprise environments, such as the battlefield, air and space. These applications and networks are not supported by traditional enterprise messaging and integration middleware.”
One of the many ways the RTI reliability model provides higher utilization of low-bandwidth networks is that it allows the frequency of heartbeats and acknowledgements to be fine-tuned. The result is efficient and reliable transport for unreliable networks that can be tuned as network conditions and bandwidth requirements fluctuate. In environments that typically experience up to three percent packet loss, RTI can achieve greater than 90 percent network utilization, which is far superior to TCP performance.
The URL for this release is located at
http://www.rti.com/corporate/news/reliable-real-time-messaging.html
Most distributed systems today rely on messaging middleware that uses the Transmission Control Protocol (TCP) for inter-application and inter-node communication. TCP is popular because it provides reliable delivery of messages and data. However, TCP has characteristics that make it undesirable for use in real-time applications where the underlying network itself is not reliable.
RTI provides a built-in transport that is Internet Protocol (IP)-based and employs the User Datagram Protocol (UDP). RTI also provides a completely tunable reliability model to optimize transport utilization over transient, high-delay, bandwidth-limited and lossy networks.
“RTI’s support for reliable messaging and data distribution over unreliable networks gives developers an off-the-shelf, standards-compliant alternative to developing proprietary communication software,” said David Barnett, vice president of Marketing at RTI. “RTI can be used in systems that are deployed in challenging, non-enterprise environments, such as the battlefield, air and space. These applications and networks are not supported by traditional enterprise messaging and integration middleware.”
One of the many ways the RTI reliability model provides higher utilization of low-bandwidth networks is that it allows the frequency of heartbeats and acknowledgements to be fine-tuned. The result is efficient and reliable transport for unreliable networks that can be tuned as network conditions and bandwidth requirements fluctuate. In environments that typically experience up to three percent packet loss, RTI can achieve greater than 90 percent network utilization, which is far superior to TCP performance.
The URL for this release is located at
http://www.rti.com/corporate/news/reliable-real-time-messaging.html

Supports distributed applications running over satellite, wireless and other transient, high-delay, low-bandwidth and lossy networks
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