Diefficiency Metrics: Measuring the Continuous Efficiency of Query Processing Approaches thumbnail
slide-image
Pause
Mute
Subtitles not available
Playback speed
0.25
0.5
0.75
1
1.25
1.5
1.75
2
Full screen

Diefficiency Metrics: Measuring the Continuous Efficiency of Query Processing Approaches

Published on Nov 28, 20171383 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

Related categories

Chapter list

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