Embedded E-cast

Deployment of sensors, smart devices and mobile computing is exploding. As a result, an enterprises most valuable information no longer lives in a centralized data center or cloud: it is produced and consumed at the network edge.

Markets are experiencing an explosion in the number of connected sensors, devices, systems and subsystems. As system integration complexity and performance requirements increase, better technologies, architectures and integration techniques are required to meet the growing demands.

There's "meeting the requirements" and then there's anticipating the unthinkable. Today's development costs often outweigh the investments in protecting against future risks or threats.

What does verification mean when it comes to safety critical software? Can simulation and formal methods be used, and when and how? What about legacy code? DO-178C becomes the guidance for the new state-of-the-art in software development for critical systems, and brings important changes in the use of modeling, objects, and more. Find out why new methodologies are important, what the changes to the standard are, and how to get code compliant with the new requirements.

It's been called the "apology" strategy: letting customers find faults in code. In safety critical systems, apologies don't work when lives and property are at risk.

Looking for a technology that provides comprehensive and flexible control over data security -- including integrity, confidentiality, authenticity, nonrepudiation, and access control -- at both the transport and messaging level? RTIs security model for Data Distribution Service (DDS), is an industry-standard publish-subscribe data bus targeting real-time performance requirements. This technology will deliver dramatically better performance than other product offerings with similar security capabilities.

Cloud computing is a hot topic in enterprise networking, where it can reduce costs by moving applications onto virtual resources. This same concept can help telecom equipment manufacturers (TEMS) reduce their development cost, and provide flexibility in deploying their products.

UAS developers are challenged to adapt designs beyond originally conceived mission capabilities. Challenges range from supporting multi-UAS operational coordination and controlling swarms of unmanned aircraft to integrating and re-configuring for next generation UAS systems.

Real-Time Innovations continues to pioneer the development of robust and proven products and solutions designed to address the ever-growing need for efficient data distribution in distributed systems. Developing heterogeneous distributed systems is a complex challenge.

All data are not created equal. Different types of data and connection architectures require different infrastructure configurations.

MontaVista provides a Linux-based programming environment that can scale from high-performance bare metal dedicated spaces, to an RTOS-like multi-threaded run-time, up to a fully virtualized Linux SMP process model. Application developers can now deploy a single operating system, Linux, across all of the cores on a multi-core processor and avoid the complexity of multiple run-times (e.

FPGA technology continues to stretch the boundaries of whats possible, and designers need to keep up with the latest ideas, techniques, and applications to remain competitive. Conference Concepts and OpenSystems Media are pleased to present the 2011 FPGA Virtual Summit, with experts gathered from across the industry to discuss ideas and trends in topics like video processing, tools to shorten design cycles, verification, and military applications.

Join Wind Rivers chief architect Dan Noal, Android expert Chris Buerger, and Avayas Senior Product Manager of New Products, David DeLorenzo for a real world discussion on what it takes to bring Android into the embedded device world. This expert panel will provide insight into whats trending now with Android for embedded.

Data Distribution Service (DDS) is an industry-standard publish-subscribe data bus that can be distributed logically or physically across local processor cores, backplane buses, or networks, making it well suited for today's multicore, bladed, and/or cloud computing platform solutions. DDS also provides network interoperability, code portability, and increased system capability while decreasing hardware requirements and lifecycle costs.