Center for Autonomic Computing (University of Florida)
Center for Autonomic Computing (University of Arizona)
Collaborative Research: Center for Autonomic Computing (Rutgers University New Brunswick)
I/UCRC CGI: Center for Autonomic Computing at Mississippi State University (Mississippi State University)
The Center for Automated Computing, an NSF Industry/University Cooperative Research Center (I/UCRC), a collaboration of four universities and multiple industry partners, conducts research on autonomic computing and information-processing systems. These systems have the potential to ease the management challenges and reduce the cost of information technology infrastructure.
Autonomic computing refers to methods, architectures and technologies for developing computing systems capable of autonomously achieving desired behaviors, such as self-organization, self-healing, self-optimization (e.g., for power or speed), or self-protection. Such systems use self-management techniques that enable independent operation, minimize cost and risk, accommodate complexity and uncertainty, and command systems of systems with large numbers of components. Areas of research at the Center for Automated Computing include the specification, design, engineering and integration of autonomic computing and information processing systems. The research is applicable to both centralized and distributed systems, including the hardware, network, storage, virtualization, middleware, service, and information layers.
The I/UCRC program features industrially relevant research, strong industrial support and collaboration in research and education, and direct transfer of research results and technology to U.S. industry to improve its competitive posture in world markets.
An I/UCRC not only contributes to the nation's research infrastructure base; it also enhances the intellectual capacity of the engineering and science workforce through the integration of research and education. The program leverages NSF funding with industry resources to support graduate students performing industrially relevant and interdisciplinary research.