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IBM Systems Journal 
Volume 42, Number 1, 2003
Autonomic Computing
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Managing Web server performance with AutoTune agents - Author Bios

by Y. Diao, J. L. Hellerstein, S. Parekh, and J. P. Bigus

Biographical sketches of authors

Yixin Diao IBM Research Division, Thomas J. Watson Research Center, P.O. Box 704, Yorktown Heights, New York 10598 (electronic mail: diao@us.ibm.com). Dr. Diao is a research staff member at the IBM T. J. Watson Research Center. He received his Ph.D. degree in electrical engineering from Ohio State University in 2000. He has authored more than 20 papers, and his research interests include computer performance management, intelligent systems and control, adaptive systems, and stability analysis.

Joseph L. Hellerstein IBM Research Division, Thomas J. Watson Research Center, P.O. Box 704, Yorktown Heights, New York 10598 (electronic mail: hellers@us.ibm.com). Dr. Hellerstein is a research staff member at the IBM T. J. Watson Research Center, where he manages the adaptive systems department. He received his Ph.D. degree from the University of California in Los Angeles. Since then, his research has addressed various aspects of managing service levels, including: predictive detection, automated diagnosis, expert systems, and the application of control theory to resource management. Dr. Hellerstein has published approximately 60 papers and an Addison-Wesley book on expert systems.

Sujay Parekh IBM Research Division, Thomas J. Watson Research Center, P.O. Box 704, Yorktown Heights, New York 10598 (electronic mail: sujay@us.ibm.com). Mr. Parekh is a research associate at the IBM T. J. Watson Research Center. He received his B.S. degree in computer science and B.A. in mathematics at Cornell University in 1993, and his M.S. degree in computer science at the University of Washington in 1996. His research interests center around automating both simple and complex computing systems, and have included work in artificial intelligence planning, machine learning, computer architecture, scheduling algorithms, and feedback-driven control.

Joseph P. Bigus IBM Research Division, Thomas J. Watson Research Center, P.O. Box 704, Yorktown Heights, New York 10598 (electronic mail: bigus@us.ibm.com). Dr. Bigus is a Senior Technical Staff Member at the IBM T. J. Watson Research Center, where he is the project leader on the ABLE research project. He is a member of the IBM Academy of Technology and an IBM Master Inventor, with over 20 U.S. patents. Dr. Bigus was an architect of the IBM Neural Network Utility and Intelligent Miner for Data products. He received his M.S. and Ph.D. degrees in computer science from Lehigh University and a B.S. degree in computer science from Villanova University. Dr. Bigus's current research interests include learning algorithms and intelligent agents, as well as multiagent teams and their applications to adaptive system modeling and control, data mining, and decision support.