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HotAC 2009 : Fourth Workshop on Hot Topics in Autonomic Computing | |||||||||||||
Link: http://www.aqualab.cs.northwestern.edu/HotACIV | |||||||||||||
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Call For Papers | |||||||||||||
Fourth Workshop on Hot Topics in Autonomic Computing (HotAC IV)
June 15, 2009, Barcelona, Spain http://www.aqualab.cs.northwestern.edu/HotACIV The fourth Workshop on Hot Topics in Autonomic Computing (HotAC IV) will bring together a broad range of researchers from computer systems, databases, networking, machine learning, and other fields to discuss new ideas and developments in managing complex large-scale systems. The goal of the workshop is to promote community-wide discussion of potentially high-impact ideas in improving the manageability and reliability of computing systems. HotAC IV will be held on June 15, 2009, the first day of the 6th International Conference on Autonomic Computing (ICAC 2009). The focus of this year's workshop is on experimentation in autonomic computing. Through a highly interactive workshop, our goal is to define the critical role that experimentation can play in shaping the young and evolving field of autonomic computing, and to outline promising research directions. Attendance at the workshop is limited and will be by invitation only. If you are interested in attending, please submit a high-quality abstract on one of the listed themes or some other theme related to experimentation in autonomic computing. The abstract should summarize the challenging and important problem being addressed, your ideas or findings, and the potential implications to the evolving field of autonomic computing. Abstracts are limited to two pages in length. Topics of interest include (but are not limited to): * Measurement methodology and best practices for complex systems * Methodology and best practices for empirical modeling of complex systems (including self-managing systems) * Testing and validating self-managing systems * Metrics for evaluating the performance, reliability, and adaptivity of self-managing systems * Benchmarks for self-managing systems * Foundations of experimental autonomic computing (design of experiments, active learning, and others) * Automation of trial-and-error approaches for system management * Lessons from experimental computer science that can be applied to self-managing systems * New real-world data and observations about self-managing systems * Empirical studies that give a deeper understanding of the manageability needs of complex systems * Empirical studies that strengthen or contradict previous studies or established theory in autonomic computing Rather than publishing workshop proceedings, the attendees will contribute to a written report on the key research challenges in this field, to be published in one of the main computer science magazines (such as the Communications of the ACM, IEEE Computer, or USENIX ;login), and to a discussion summary that will be presented at ICAC 2009. Important Dates --------------- Abstract submission: March 26, 2009, 11:59 CST (GMT-6) Notification of acceptance: April 20, 2009 Workshop: June 15, 2009 Workshop Co-Chairs ------------------ Shivnath Babu, Duke University Fabian Bustamante, Northwestern University Program Committee ----------------- Ricardo Bianchini, Rutgers University Surajit Chaudhuri, Microsoft Research Raj Jain, Washington University in St. Louis Jeff Kephart, IBM Research Ratul Mahajan, Microsoft Research Daniel Menasce, George Mason University Karsten Schwan, Georgia Institute of Technology Charles Sutton, University of California, Berkeley |
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