Abstract
When database systems running on top of public cloud services run into performance problems, it is hard to identify the concrete infrastructure service for which provisioning additional resources would solve said performance problem. In this work, we present AISLE, which develops a model for expected service levels and includes metrics which assess values from service level monitoring to identify these cloud services. Using AISLE, we develop such a model for the Amazon EBS service and evaluate our approach in experiments with Apache Cassandra running on top of EBS-backed EC2 instances.
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CITATION STYLE
Kuhlenkamp, J., Rudolph, K., & Bermbach, D. (2015). AISLE: Assessment of provisioned service levels in public IaaS-based database systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9435, pp. 154–168). Springer Verlag. https://doi.org/10.1007/978-3-662-48616-0_10
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