 | 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.
Get the article | Description | Name | Size | Download method |
|---|
| Paper in PDF format | Problem_Determination_WP_Final_100703.pdf | 404 KB | HTTP |
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. |
Rate this content
|  | |  |