This paper introduces the concept of letting an RDBMS Optimizer optimize its own environment. In our project, we have used the DB2 Optimizer to tackle the index selection problem, a variation of the knapack problem. This paper will discuss our implementation of index recommendation, the user interface, and provide measurements on the quality of the recommended indexes.
As the cost of both hardware and software falls due to technological advancements and economies of scale, the cost of ownership for database applications is increasingly dominated by the cost of people to manage them. Databases are growing rapidly in scale and complexity, while skilled database administrators (DBAs) are becoming rarer and more expensive. This paper describes the self-managing or autonomic technology in IBM's DB2 Universal Database® for UNIX and Windows to illustrate how self-managing technology can reduce complexity, helping to reduce the total cost of ownership (TCO) of DBMSs and improve system performance.
As the cost of both hardware and software falls due to technological advancements and economies of scale, the cost of ownership for database applications is increasingly dominated by the cost of people to manage them. Databases are growing rapidly in scale and complexity, while skilled database administrators (DBAs) are becoming rarer and more expensive. The scope of responsibility of DBAs is indeed daunting. This paper describes the self-managing technology in IBM DB2 Universal Database to illustrate how self-managing technology can enhance the usability of enterprise middleware and reduce the total cost of ownership (TCO).
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