Boral H. and DeWitt D. J., A methodology for database system performance evaluation, in Proc. of the 1984 SIGMOD Conference, Boston, 1984.  @ NUS  Home/Search   Document Details and Download   Summary   Related Articles   Check

....in the sense that database users base their purchasing decisions partially relying on benchmark results, and database designers measure the performance of their systems by using an appropriate benchmark. There has been muchwork in the area of database benchmarking; e.g. the Wisconsin Benchmark #Boral and DeWitt, 1984#, the OO1 Benchmark #Catell 1 and Skeen, 1992#, and the OO7 Benchmark #Carey et al. 1993#. However, there have been only a few attempts to evaluate the performance of ADBMSs, the most important of which are the BEAST Benchmark #Geppert et al. 1995#, and the ACT 1 Benchmark #Zimmermann et al. ....

Boral H. and DeWitt D. J., A methodology for database system performance evaluation, in Proc. of the 1984 SIGMOD Conference, Boston, 1984.

....parameter settings. The principal resources all DBMS configurations compete for are CPU cycles and disk accesses. QUS consists of three groups of jobs. Two of them are queries and the other is updates. Since the mix of jobs plays an important role in system performance (as Boral and DeWitt show in [4]) we chose small and large queries. The first two experiments included in this paper correspond to low and high workloads. The small size query set (SQS) consists of 8 selections on the base relations with tuple selectivity of 5 (2 of them are done on clustered attributes) and 4 2 way join ....

H. Boral and D. DeWitt. A Methodology for Database System Performance Evaluation. In Proceedings of SIGMOD--Conference on the Management of Data, Boston, MA, June 1984.

....in the sense that database users base their purchasing decisions partially relying on benchmark results, and database designers measure the performance of their systems by using an appropriate benchmark. There has been much work in the area of database benchmarking; e.g. the Wisconsin Benchmark [BD84] the OO1 Benchmark [CS92] and the OO7 Benchmark [CDN93] However, there have been only a few attempts to evaluate the performance of ADBMSs, the most important of which are the BEAST Benchmark [GGD95] and the ACT 1 Benchmark [ZBD95] In this paper, we describe the OBJECTIVE 1 Benchmark ....

H. Boral and D. J. DeWitt. A methodology for database system performance evaluation. In Proc. of the 1984 SIGMOD Conference, pages 176--185, Boston, June 1984.

....which in the following are named mix 1, mix 2 and mix 3. The characteristics of these mixes are summarized in table 2. Mix 1 represents the workload of an on line transaction processing (OLTP) environment and was produced by a commercial database system running the Wisconsin multiuser benchmark [4]. Mix 1 consists of two different kinds of short transactions having a relatively high rate of accesses to shared data. Transactions of the first kind are read only transactions. Transactions of the second kind are update transactions, but with a very low rate of write operations. Only 6.59 of ....

Boral H., DeWitt D. J.: A Methodology for Database System Performance Evaluation. In Proc. of the ACM SIGMOD Conf., June 1984.

....in the sense that database users base their purchasing decisions partially relying on benchmark results, and database designers measure the performance of their systems by using an appropriate benchmark. There has been much work in the area of database benchmarking; e.g. the Wisconsin Benchmark [5], the OO1 Benchmark [10] and the OO7 Benchmark [8] However, there have been only a few attempts to evaluate the performance of ADBMSs, the most important of which are the BEAST Benchmark [26] and the ACT 1 Benchmark [37] In this thesis, we describe the OBJECTIVE 1 Benchmark which is a simple ....

H. Boral and D. J. DeWitt. A methodology for database system performance evaluation. In Proc. of the 1984 SIGMOD Conference, pages 176--185, Boston, June 1984.

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Boral, H. and Dewitt, D., A Methodology for Database System Performance Evaluation, Proceedings of the International Conference on Management of Data, 1984.

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