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Automating problem determination: A first step toward self-healing computing systems

developerWorks

Brad Topol (btopol@us.ibm.com), Senior Software Engineer, IBM
Ric Telford (rtelford@us.ibm.com), Vice President, Autonomic Computing, IBM
Thomas Studwell (studwell@us.ibm.com), Senior Technical Staff Member, IBM
David Ogle (daveogle@us.ibm.com), Senior Technical Staff Member, IBM
Donna Pierson (donnap@us.ibm.com), Marketing Management, IBM
Jim Thoensen (thoensen@us.ibm.com), System Administration Support eServer Hosting, IBM
John Sweitzer (jsweitze@us.ibm.com), Distinguished Engineer, IBM
Marie Chow (mchow@us.ibm.com), Director, Market Management, IBM
Mary Ann Hoffmann IBM
Pamela M. Durham (pdurham@us.ibm.com), Manager, Autonomic Computing Architecture, IBM
Sulabha Sheth (ssheth@us.ibm.com), Global Alliance Manager, IBM

Oct 2003

Problem determination in sophisticated e-business systems using traditional tools and methods is a costly and arduous challenge; however, with the help of the autonomic approach to problem determination, more and more laborintensive tasks will be relegated to technology. For companies, this means gradually incorporating a new autonomic problem determination architecture that will break through complexity barriers. Using a holistic, autonomic approach to problem determination, IBM has developed a solution that is designed to overcome complexity in e-business infrastructures using concrete, non-disruptive solutions. This technology sets the stage for self-healing systems.



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About the authors

Brad Topol is a Senior Software Engineer with the Software Group Advanced Design and Technology team at IBM in Research Triangle Park, North Carolina. He received a Ph.D. degree in Computer Science from the Georgia Institute of Technology in 1998. Currently, he is the development lead for the Automated Problem Determination Serviceability Tool. Over the years, Brad has been actively involved in advanced technology projects in the areas of autonomic computing, Web services, grid computing, Web content transformation, and aspect-oriented programming.


Ric Telford, the Director for Autonomic Computing at IBM, has many years of experience developing emerging businesses and deploying new technologies, including on-demand and utility computing, and security. His newest passion is autonomic computing.


Thomas Studwell is a Senior Technical Staff Member in the IBM Autonomic Computing Architecture organization. Tom is responsible for promoting IBM's Autonomic computing technologies in open industry standards. Tom is a contributing participant in the OASIS Web Services Distributed Management Technical Committee and was responsible for submitting IBM's Common Base Event specification to the WSDM TC. Tom is a member of the IEEE and has a number of patents and publications in computing technologies.












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