A modeling study of the TPC-C benchmark
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Goal-oriented buffer management revisited
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Managing Memory to Meet Multiclass Workload Response Time Goals
VLDB '93 Proceedings of the 19th International Conference on Very Large Data Bases
Goal-oriented dynamic buffer pool management for data base systems
ICECCS '95 Proceedings of the 1st International Conference on Engineering of Complex Computer Systems
A study of replacement algorithms for a virtual-storage computer
IBM Systems Journal
Physical Database Design: the database professional's guide to exploiting indexes, views, storage, and more
Low-overhead decision support for dynamic buffer reallocation
Computer Science - Research and Development
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The tasks of configuring and tuning large database management systems (DBMSs) have always been both complex and time-consuming. They require knowledge of the characteristics of the system, the data, and the workload, and of the interrelationships between them. The buffer pools, because they exist to reduce the number of disk accesses performed by a transaction, are a key resource in a DBMS. Current DBMSs, such as DB2 Universal Database, divide the buffer area into a number of independent buffer pools and database objects (tables and indices) are assigned to a specific buffer pool. The size of each buffer pool is set by configuration parameters and page replacement is local to each buffer pool. Tuning the size of the buffer pools to a workload is crucial to achieving good performance. In this paper we describe a self-tuning algorithm, called the Dynamic Reconfiguration algorithm (DRF), for managing the buffer pools in a DBMS and we present the results of a set of experiments to investigate the performance of an implementation of the algorithm for DB2 Universal Database.