2013 IEEE 29th International Conference on Data Engineering (ICDE) (2010)
Long Beach, CA, USA
Mar. 1, 2010 to Mar. 6, 2010
Ashraf Aboulnaga , David R. Cheriton School of Computer Science, University of Waterloo, Ontario, Canada
Sean Tozer , David R. Cheriton School of Computer Science, University of Waterloo, Ontario, Canada
Tim Brecht , David R. Cheriton School of Computer Science, University of Waterloo, Ontario, Canada
In three-tiered web applications, some form of admission control is required to ensure that throughput and response times are not significantly harmed during periods of heavy load. We propose Q-Cop, a prototype system for improving admission control decisions that considers a combination of the load on the system, the number of simultaneous queries being executed, the actual mix of queries being executed, and the expected time a user may wait for a reply before they or their browser give up (i.e., time out). Using TPC-W queries, we show that the response times of different types of queries can vary significantly depending not just on the number of queries being processed but on the mix of other queries that are running simultaneously. We develop a model of expected query execution times that accounts for the mix of queries being executed and integrate this model into a three-tiered system to make admission control decisions. Our results show that this approach makes more informed decisions about which queries to reject and as a result significantly reduces the number of requests that time out. Across the range of workloads examined an average of 47% fewer requests are unsuccessful than the next best approach.
Ashraf Aboulnaga, Sean Tozer, Tim Brecht, "Q-Cop: Avoiding bad query mixes to minimize client timeouts under heavy loads", 2013 IEEE 29th International Conference on Data Engineering (ICDE), vol. 00, no. , pp. 397-408, 2010, doi:10.1109/ICDE.2010.5447850