The Big Data Interagency Working Group (BD IWG) works to facilitate and further the goals of the White House Big Data R&D Initiative.
The CPS IWG is to coordinate programs, budgets, and policy recommendations for Cyber Physical Systems (CPS) research and development (R&D).
Cyber Security and Information Assurance (CSIA) Interagency Working Group coordinates the activities of the CSIA Program Component Area.
The Health Information Technology Research and Development Interagency Working Group coordinates programs, budgets and policy recommendations for Health IT R&D.
HCI&IM focuses on information interaction, integration, and management research to develop and measure the performance of new technologies.
HCSS R&D supports development of scientific foundations and enabling software and hardware technologies for the engineering, verification and validation, assurance, and certification of complex, networked, distributed computing systems and cyber-physical systems (CPS).
The HEC IWG coordinates the activities of the High End Computing (HEC) Infrastructure and Applications (I&A) and HEC Research and Development (R&D) Program Component Areas (PCAs).
LSN members coordinate Federal agency networking R&D in leading-edge networking technologies, services, and enhanced performance.
The purpose of the SPSQ IWG is to coordinate the R&D efforts across agencies that transform the frontiers of software science and engineering and to identify R&D areas in need of development that span the science and the technology of software creation and sustainment.
Formed to ensure and maximize successful coordination and collaboration across the Federal government in the important and growing area of video and image analytics
The Wireless Spectrum R&D (WSRD) Interagency Working Group (IWG) has been formed to coordinate spectrum-related research and development activities across the Federal government.
Challenges for Building Complex Real-time Computing Systems
Michael W. Masters U.S. Naval Surface Warfare Center, Dahlgren Division
Lonnie R. Welch School of EECS Ohio University
In the early years of computing, real-time systems consisted of single computers interfaced to a few sensors and effectors, and perhaps to a user control device as well. While such systems still exist, and have become almost ubiquitous in a myriad of everyday devices, the world of real-time computing has expanded in scope and complexity in ways comparable to the proliferation of computers for many other aspects of business, economic and social life. Perhaps the most recent evidence of this expansion is the employment of distributed processing to achieve the objectives of real-time system designers. With the expanded use of computers, particularly in distributed real-time embedded systems (DREs), issues of complexity have emerged that were not faced by early real-time system designers. Complex aggregations of computers operating as a distributed system have assumed a distinctly different character from early real-time systems, exhibiting far more variation in form as well as in the underlying technology base. Dealing with this complexity has become a major driver for innovation in both system architecture and computing technology. The challenge designers face today is, how to design, build, deploy and maintain ever larger and more capable distributed real-time embedded systems to meet the demands of a changing world. Modern real-time systems are likely to be more than just systems; they are rapidly becoming large-scale systems of systems. Because of their long life and high cost, complex real-time systems cannot be recreated as new starts when new requirements emerge. They must evolve and undergo changes and upgrades in place. Furthermore, since the technology base on which DREs are built is changing rapidly, complex real-time systems must allow for the convenient insertion of new computing equipment and supporting software products. For these reasons, flexibility of design has become a paramount concern.
This paper will present major challenges and promising solutions for the problem of building real-time open architectures. Based on our experience within the Navy shipboard computing systems domain, we will consider technical characteristics, change management, system flexibility and dynamic resource management.
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