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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
- 6245
- Venue
- SIGMOD
- Year
- 2021
- Pagerank
- 4.1905499e-05
- Overall Rank
- 11,491 | 20.14%
- 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 |
| 211 |
Gorilla: A Fast, Scalable, In-Memory Time Series Database |
2015 |
VLDB |
0.0003401421 |
| 339 |
OLTP-Bench: An Extensible Testbed for Benchmarking Relational Databases |
2014 |
VLDB |
0.00026895683 |
| 510 |
An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning |
2019 |
SIGMOD |
0.00021420477 |
| 914 |
Socrates: The New SQL Server in the Cloud |
2019 |
SIGMOD |
0.00015370799 |
| 1,321 |
Automated Demand-driven Resource Scaling in Relational Database-as-a-Service |
2016 |
SIGMOD |
0.00012605455 |
| 1,324 |
Starling: A Scalable Query Engine on Cloud Functions |
2020 |
SIGMOD |
0.00012585081 |
| 1,387 |
SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service |
2013 |
CIDR |
0.00012249858 |
| 1,422 |
Data Management Challenges in Production Machine Learning |
2017 |
SIGMOD |
0.00012050431 |
| 1,989 |
Amazon Aurora: On Avoiding Distributed Consensus for I/Os, Commits, and Membership Changes |
2018 |
SIGMOD |
9.8499087e-05 |
| 2,420 |
Lambada: Interactive Data Analytics on Cold Data Using Serverless Cloud Infrastructure |
2020 |
SIGMOD |
8.8474951e-05 |
| 2,589 |
Database Learning: Toward a Database that Becomes Smarter Every Time |
2017 |
SIGMOD |
8.4868591e-05 |
| 2,750 |
CPU Sharing Techniques for Performance Isolation in Multi-tenant Relational Database-as-a-Service |
2014 |
VLDB |
8.1788028e-05 |
| 3,222 |
WiSeDB: A Learning-based Workload Management Advisor for Cloud Databases |
2016 |
VLDB |
7.3531422e-05 |
| 3,431 |
Sharing Buffer Pool Memory in Multi-Tenant Relational Database-as-a-Service |
2015 |
VLDB |
7.0984188e-05 |
| 3,484 |
Characterizing Tenant Behavior for Placement and Crisis Mitigation in Multitenant DBMSs |
2013 |
SIGMOD |
7.0481876e-05 |
| 4,031 |
Taurus Database: How to be Fast, Available, and Frugal in the Cloud |
2020 |
SIGMOD |
6.5136841e-05 |
| 4,275 |
Revenue Maximization for Query Pricing |
2020 |
VLDB |
6.2895439e-05 |
| 5,265 |
Probabilistic Demand Forecasting at Scale |
2017 |
VLDB |
5.5950627e-05 |
| 5,729 |
Survivability of Cloud Databases - Factors and Prediction |
2018 |
SIGMOD |
5.3499416e-05 |
| 7,044 |
Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation |
2021 |
VLDB |
4.8475963e-05 |
| 7,079 |
JetScope: Reliable and Interactive Analytics at Cloud Scale |
2015 |
VLDB |
4.8353804e-05 |
| 9,733 |
Reliability Analytics for Cloud Based Distributed Databases |
2020 |
SIGMOD |
4.2901665e-05 |
| 9,948 |
Not for the Timid: On the Impact of Aggressive Over-booking in the Cloud |
2016 |
VLDB |
4.2391069e-05 |
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| 6,066 |
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VLDB |
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