Feedback Computing 2012
The 7th International Workshop on Feedback Computing
In conjunction with ICAC 2012
San Jose, California,  September 17, 2012
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Built upon the success of the International Workshop on Feedback Control Implementation and
Design in Computing Systems and Networks (FeBID) starting in 2006, this year we debut the
Feedback Computing workshop. Our goal is to provide a forum for creating new ideas and
agendas to broaden the theoretical foundations and applications of feedback in computing

From theory’s perspective, while FeBID focused primarily on classic control theory as the
analytic foundation for feedback, the new workshop scope acknowledges the need for a
broader perspective on feedback in computing systems. We believe classic control-theoretical
techniques represent one of several viable foundations for understanding the performance
characteristics of systems that involve feedback, such as convergence, stability and latency
(among other performance metrics). Meanwhile, qualitatively different foundations are also
developed for this purpose in other communities, such as machine learning, mathematical
optimization, cyber-physical computing, game theory, and evolutionary graph theory. As
computing systems grow more complex to encompass clouds, social networks, distributed
sensing systems, and data centers, new modeling, analysis and management techniques are
needed to understand their behavior and predict or influence performance at scale. The
proposed workshop will be unique in offering a single venue for exchange of ideas and insights
exploring the feedback concept in computing contexts.

From application’s perspective, while being highly synergetic with the ICAC conference, the
workshop differentiates from the main conference with its focus on the design and use of the
feedback based design patterns. These patterns can come from control engineers using
formal mathematical models and control-theoretical techniques widely adopted in other areas
of engineering. They can also come from software and system engineers with simple and
workable feedback embedded heuristics in computing system design. Alternatively, they can
come from game theory, graph theory, AI, or other sources that have essentially feedback and
dynamic system concepts implemented. The objective of this workshop is to foster
collaborations between the relevant communities and between academia and industry, as well
as to study and create new control patterns and integrated applications that make a real world

See more information of the FeBID workshops at the link
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