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Diefficiency Metrics: Measuring the Continuous Efficiency of Query Processing Approaches
Published on 2017-11-281396 Views
During empirical evaluations of query processing techniques, metrics like execution time, time for the first answer, and throughput are usually reported. Albeit informative, these metrics are unable t
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Presentation
Diefficiency Metrics: Measuring the Continuous Efficiency of Query Processing Approaches00:00
Motivation 00:17
Motivation - 100:53
Motivation - 201:27
Motivation - 302:46
Related work02:54
Current Performance Metrics02:59
Our Approach: Measuring Continuous Efficiency03:47
Diefficiency Metrics03:55
Answer Distribution Function 04:33
Metric dief@k05:20
Metric dief@k - 106:38
Extensions of dief@t and dief@k07:38
Extensions of dief@t and dief@k - 108:28
Properties of dief@t and dief@k09:00
Experimental Settings09:55
Comparing dief@t with Other Metrics10:25
Comparing dief@t with Other Metrics - 111:39
Measuring Answer Rate with dief@k11:54
Measuring Answer Rate with dief@k - 113:06
Conclusions13:41
Available resources14:30