An analytical model for multi-tier internet services and its applications
SIGMETRICS '05 Proceedings of the 2005 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Dynamic Provisioning of Multi-tier Internet Applications
ICAC '05 Proceedings of the Second International Conference on Automatic Computing
Argon: performance insulation for shared storage servers
FAST '07 Proceedings of the 5th USENIX conference on File and Storage Technologies
Lachesis: robust database storage management based on device-specific performance characteristics
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Multi-tenant databases for software as a service: schema-mapping techniques
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Modeling and exploiting query interactions in database systems
Proceedings of the 17th ACM conference on Information and knowledge management
Proceedings of the ACM/IFIP/USENIX 2007 International Conference on Middleware
QShuffler: Getting the Query Mix Right
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Predicting Multiple Metrics for Queries: Better Decisions Enabled by Machine Learning
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Supporting Database Applications as a Service
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Query interactions in database workloads
Proceedings of the Second International Workshop on Testing Database Systems
Predicting completion times of batch query workloads using interaction-aware models and simulation
Proceedings of the 14th International Conference on Extending Database Technology
Interaction-aware scheduling of report-generation workloads
The VLDB Journal — The International Journal on Very Large Data Bases
Towards Elastic Multi-Tenant Database Replication with Quality of Service
UCC '12 Proceedings of the 2012 IEEE/ACM Fifth International Conference on Utility and Cloud Computing
Characterizing tenant behavior for placement and crisis mitigation in multitenant DBMSs
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
Performance and resource modeling in highly-concurrent OLTP workloads
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
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Database consolidation is gaining wide acceptance as a means to reduce the cost and complexity of managing database systems. However, this new trend poses many interesting challenges for understanding and predicting system performance. The consolidated databases in multi-tenant settings share resources and compete with each other for these resources. In this work we present an experimental study to highlight how these interactions can be fairly complex. We argue that individual database staging or workload profiling is not an adequate approach to understanding the performance of the consolidated system. Our initial investigations suggest that machine learning approaches that use monitored data to model the system can work well for important tasks.