Policy Management for Autonomic Data Management

Mukesh Mohania

Date and time: 2.30pm-4.30pm, Thursday 25th November, 2004
Note non-standard day and time

Venue: 12.12.02
Note non-standard venue

Chair: James Harland

Abstract:

Most of the organizations are doing their businesses on-line and the popularity of e-Business has lead to an exponential and unstructured growth in the applications space coupled with an increase in the database size. Particularly, Internet enabled services have led to an increase in the size and complexity of the database making its administration task very complex. Moreover, organizations are increasingly concerned about the privacy of data that they manage. Thus, managing such large ever growing and privacy-preserving database is complex and time-consuming task. In this talk we will discuss a policy-based framework for autonomic database administration. We, at IBM India Research Lab, have developed a system that automatically manages data based on events. We will discuss the various features of our proposed system and then discuss the various algorithms that have been designed and implemented in our policy execution engine.

About the speaker:

Mukesh Mohania received his Ph.D. in Computer Science & Engineering from Indian Institute of Technology, Bombay, India in 1995. He was a faculty member in University of South Australia, Western Michigan University from 1995-2001. He was also associated with Kyoto University and Purdue University as Senior Research Fellow from 1996-2001. Currently, he is a manager in IBM India Research Lab and leading database team.

He has worked extensively in the areas of rule processing in distributed databases, data warehousing, semi/unstructured databases, XML data integration, data mining and autonomic computing. He has published more than 75 research papers in these areas in leading international journal, conferences and as book chapters. He has filed 5 patents in these areas.

Mukesh has organized several international conferences and workshops as programme chair and edited several conference proceedings. He has also been associated with many conferences as programme committee members, and with many journals as reviewer and editorial board member. He has received several research and infrasturcture grants from National Science Foudation (NSF), Australian Research Council (ARC), Defense Science and Technology Organization (Australia), University of South Australia and Purdue University (USA).

He was awarded Technical Achievement Award in the area of Web Database Management and Data Warehousing by Association of Database and Expert Systems Applications in Greenwich, U.K., 2000. He is also a IEEE senior member.

After the seminar:

This talk will be followed by a discussion about opportunities for research students at IBM India.

India Research Lab. (IRL) located in New Delhi, India, is one of IBM's eight research laboratories. Its mission is to conduct research in coordination with other IBM business units to deliver innovation to IBM product and services offerings.

IRL seeks both fresh and experienced applicants with an earned Ph.D. in CS/EE or a related area with an exceptional track record as demonstrated by publications and/or patents and/or business impact. Candidates with core expertise in the areas of Software Engineering, Distributed Computing and Programming Models, Data Management, Machine Learning, Information Retrieval, and Servers and Embedded Systems, and those who have expertise in applying Computer Science to the areas such as wireless services, customer relationship management, e-governance, life sciences/health care are particularly encouraged to apply. Strong interest in team-oriented industrial research is a must.

IRL is an equal opportunity employer and provides the work culture of one of the world's premiere industrial research organizations with a history of defining industry-shaping innovations.

For information about ongoing projects at IRL please visit http://www.research.ibm.com/irl.

Interested candidates should send their resume to mkmukesh@in.ibm.com.

Seminars are free and open to the general public. No booking is necessary.

If you are interested in giving a presentation in this seminar series, or to make suggestions for speakers, please contact James Harland, the seminar co-ordinator.