Aonix Teams with RTI on Data Distribution for Secure Systems

Aonix, the provider of the PERC product line for embedded and real-time Java developers, announced that it is partnering with Real-Time Innovations (RTI) to provide integrated standards-based data distribution services to PERC Ultra for the Wind River Systems VxWorks MILS platform. The companies have also formed a partnering agreement paving the way to jointly market RTI Data Distribution Service and Aonix PERC technologies to their mutual customers.

Lead by demand from a major aerospace customer, the integration of the PERC virtual machine with RTI Data Distribution Service, will make it possible for the users to leverage fast and reliable data access within their security-sensitive applications. The customer will run RTI Data Distribution Service using Aonix PERC, the real-time virtual machine for embedded Java developers, featuring reliable garbage collection, predictable performance, and compatibility with a broad range of off-the-shelf components. The combination provides for a full real-time distributed data solution in an internal R&D application to demonstrate the feasibility of ensuring secure access to data across multiple partitions in a real-time system.

“Thanks to Aonix technology and RTI expertise in real-time data distribution, customers will be able to implement complex secure systems more efficiently,” explained David Barnett, vice president of marketing at RTI. “Operating RTI Data Distribution Service in a Java environment is a testament to the robustness of the middleware and the flexibility of the Aonix virtual machine.”

“Security is a significant challenge facing many market segments,” said Gary Cato, Director of Marketing at Aonix. “This is especially true of suppliers to the military in the Aerospace and Defense segment. The combination of RTI Data Distribution Services in a secure environment together with Java provides significant advantages to system performance and security while streamlining development and reducing maintenance costs of long life-cycle applications.”

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