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Workload-Aware Database Monitoring and Consolidation

Summary: Kairos is a workload-aware database consolidation system modeling hardware needs and predicting resources. Optimizes nonlinear optimization to minimize servers with balanced load, beating VM consolidation up to 12x and reducing deployments by 5.5x–17x. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4393
Venue
SIGMOD
Year
2011
Pagerank
0.00019886777
Overall Rank
573 | 96.02%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 31 of 31 citing papers.

Rank Citing Paper Year Venue Pagerank
371 Self-Driving Database Management Systems 2017 CIDR 0.00025382677
1,017 Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques 2012 VLDB 0.00014627121
1,091 E-Store: Fine-Grained Elastic Partitioning for Distributed Transaction Processing Systems 2015 VLDB 0.00014133147
1,321 Automated Demand-driven Resource Scaling in Relational Database-as-a-Service 2016 SIGMOD 0.00012605455
1,387 SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service 2013 CIDR 0.00012249858
2,239 Performance and Resource Modeling in Highly-Concurrent OLTP Workloads 2013 SIGMOD 9.2163469e-05
2,750 CPU Sharing Techniques for Performance Isolation in Multi-tenant Relational Database-as-a-Service 2014 VLDB 8.1788028e-05
3,466 AI Meets Database: AI4DB and DB4AI 2021 SIGMOD 7.0645718e-05
3,484 Characterizing Tenant Behavior for Placement and Crisis Mitigation in Multitenant DBMSs 2013 SIGMOD 7.0481876e-05
3,550 Parallel Analytics as a Service 2013 SIGMOD 6.9785983e-05
3,650 Accordion: Elastic Scalability for Database Systems Supporting Distributed Transactions 2014 VLDB 6.8746996e-05
3,730 RTP: Robust Tenant Placement for Elastic In-Memory Database Clusters 2013 SIGMOD 6.8074151e-05
4,003 DBSeer: Resource and Performance Prediction for Building a Next Generation Database Cloud 2013 CIDR 6.5406297e-05
4,659 Nova-LSM: A Distributed, Component-based LSM-tree Key-value Store 2021 SIGMOD 6.0076537e-05
4,966 Releasing Cloud Databases from the Chains of Performance Prediction Models 2017 CIDR 5.7949047e-05
6,066 Flexible Resource Allocation for Relational Database-as-a-Service 2023 VLDB 5.225259e-05
6,437 PLANET: Making Progress with Commit Processing in Unpredictable Environments 2014 SIGMOD 5.0554119e-05
6,702 Tenant Placement in Over-subscribed Database-as-a-Service Clusters 2022 VLDB 4.9518701e-05
7,044 Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation 2021 VLDB 4.8475963e-05
7,132 Incremental Elasticity For Array Databases 2014 SIGMOD 4.817779e-05
7,291 Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities 2022 SIGMOD 4.7677422e-05
7,623 Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads 2023 SIGMOD 4.6890662e-05
7,690 ROBUS: Fair Cache Allocation for Data-parallel Workloads 2017 SIGMOD 4.6723821e-05
8,031 A Demonstration of SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service 2013 SIGMOD 4.5983687e-05
8,735 Vertically Autoscaling Monolithic Applications with CaaSPER: Scalable Container-as-a-Service Performance Enhanced Resizing Algorithm for the Cloud 2024 SIGMOD 4.4520434e-05
8,795 Resource-Adaptive Query Execution with Paged Memory Management 2025 CIDR 4.4446768e-05
8,804 ArceKV: Towards Workload-driven LSM-compactions for Key-Value Store Under Dynamic Workloads 2026 VLDB 4.4424232e-05
9,948 Not for the Timid: On the Impact of Aggressive Over-booking in the Cloud 2016 VLDB 4.2391069e-05
9,958 Re-evaluating Designs for Multi-Tenant OLTP Workloads on SSD-based I/O Subsystems 2014 SIGMOD 4.2323889e-05
10,411 ABase: the Multi-Tenant NoSQL Serverless Database for Diverse and Dynamic Workloads in Large-scale Cloud Environments 2025 SIGMOD 4.1905499e-05
11,915 Thrifty: Offering Parallel Database as a Service using the Shared-Process Approach 2015 SIGMOD 4.1905499e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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