Benchmarking adaptive indexing
TPCTC'10 Proceedings of the Second TPC technology conference on Performance evaluation, measurement and characterization of complex systems
CoPhy: a scalable, portable, and interactive index advisor for large workloads
Proceedings of the VLDB Endowment
Semi-automatic index tuning: keeping DBAs in the loop
Proceedings of the VLDB Endowment
Kaizen: a semi-automatic index advisor
SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
Automated physical designers: what you see is (not) what you get
DBTest '12 Proceedings of the Fifth International Workshop on Testing Database Systems
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Online approaches to physical design tuning have received considerable attention in the recent literature, with a focus on the problem of online index selection. However, it is difficult to draw conclusions on the relative merits of the proposed techniques, as they have been evaluated in isolation using different methodologies. In this paper, we make two concrete contributions to address this issue. First, we propose a benchmark for evaluating the performance of an online tuning algorithm in a principled fashion. Second, using the benchmark, we present a comparison of two representative online tuning algorithms that are implemented in the same database system. The results provide interesting insights on the behavior of these algorithms and validate the usefulness of the proposed benchmark.