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Toto - Benchmarking the Efficiency of a Cloud Service
Summary: Toto: a benchmark framework to measure cloud-service efficiency under co-location and contention with scalable, repeatable production workloads. Implemented in SQL DB staging clusters; enables densityâQoS tradeoffs across Kubernetes/Service Fabric.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 6244
- Venue
- SIGMOD
- Year
- 2021
- Pagerank
- 4.1945683e-05
- Overall Rank
- 11,487 | 20.09%
- DOI
-
10.1145/3448016.3457555
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 23 of 23 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 210 |
Gorilla: A Fast, Scalable, In-Memory Time Series Database |
2015 |
VLDB |
0.0003404384 |
| 340 |
OLTP-Bench: An Extensible Testbed for Benchmarking Relational Databases |
2014 |
VLDB |
0.00026841628 |
| 514 |
An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning |
2019 |
SIGMOD |
0.0002124895 |
| 918 |
Socrates: The New SQL Server in the Cloud |
2019 |
SIGMOD |
0.00015350181 |
| 1,322 |
Automated Demand-driven Resource Scaling in Relational Database-as-a-Service |
2016 |
SIGMOD |
0.00012610912 |
| 1,326 |
Starling: A Scalable Query Engine on Cloud Functions |
2020 |
SIGMOD |
0.00012576952 |
| 1,385 |
SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service |
2013 |
CIDR |
0.00012261812 |
| 1,420 |
Data Management Challenges in Production Machine Learning |
2017 |
SIGMOD |
0.00012057956 |
| 1,984 |
Amazon Aurora: On Avoiding Distributed Consensus for I/Os, Commits, and Membership Changes |
2018 |
SIGMOD |
9.8607096e-05 |
| 2,424 |
Lambada: Interactive Data Analytics on Cold Data Using Serverless Cloud Infrastructure |
2020 |
SIGMOD |
8.8380822e-05 |
| 2,588 |
Database Learning: Toward a Database that Becomes Smarter Every Time |
2017 |
SIGMOD |
8.4909562e-05 |
| 2,731 |
CPU Sharing Techniques for Performance Isolation in Multi-tenant Relational Database-as-a-Service |
2014 |
VLDB |
8.2108797e-05 |
| 3,216 |
WiSeDB: A Learning-based Workload Management Advisor for Cloud Databases |
2016 |
VLDB |
7.3601267e-05 |
| 3,436 |
Sharing Buffer Pool Memory in Multi-Tenant Relational Database-as-a-Service |
2015 |
VLDB |
7.0948913e-05 |
| 3,479 |
Characterizing Tenant Behavior for Placement and Crisis Mitigation in Multitenant DBMSs |
2013 |
SIGMOD |
7.0539055e-05 |
| 4,019 |
Taurus Database: How to be Fast, Available, and Frugal in the Cloud |
2020 |
SIGMOD |
6.5238856e-05 |
| 4,279 |
Revenue Maximization for Query Pricing |
2020 |
VLDB |
6.2953388e-05 |
| 5,257 |
Probabilistic Demand Forecasting at Scale |
2017 |
VLDB |
5.6003925e-05 |
| 5,719 |
Survivability of Cloud Databases - Factors and Prediction |
2018 |
SIGMOD |
5.3550742e-05 |
| 7,047 |
Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation |
2021 |
VLDB |
4.8521181e-05 |
| 7,067 |
JetScope: Reliable and Interactive Analytics at Cloud Scale |
2015 |
VLDB |
4.8440936e-05 |
| 9,734 |
Reliability Analytics for Cloud Based Distributed Databases |
2020 |
SIGMOD |
4.2942813e-05 |
| 9,946 |
Not for the Timid: On the Impact of Aggressive Over-booking in the Cloud |
2016 |
VLDB |
4.2431724e-05 |
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| 5,719 |
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| 6,062 |
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VLDB |
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