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Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities
Summary: Tutorial survey of multi-tenant cloud data service architectures, highlighting trends, scalability, and isolation challenges. Discusses elasticity, SLA provisioning, performance isolation and cost-reduction techniques, and outlines research problems.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 6406
- Venue
- SIGMOD
- Year
- 2022
- Pagerank
- 4.7723197e-05
- Overall Rank
- 7,296 | 49.25%
- DOI
-
10.1145/3514221.3522566
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 12 of 62 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 3,142 |
Active Learning for ML Enhanced Database Systems |
2020 |
SIGMOD |
7.4815444e-05 |
| 3,436 |
Sharing Buffer Pool Memory in Multi-Tenant Relational Database-as-a-Service |
2015 |
VLDB |
7.0948913e-05 |
| 3,809 |
Changing the Face of Database Cloud Services with Personalized Service Level Agreements |
2015 |
CIDR |
6.7409982e-05 |
| 3,954 |
Efficiently Approximating Selectivity Functions using Low Overhead Regression Models |
2020 |
VLDB |
6.5926838e-05 |
| 4,088 |
Towards Predicting Query Execution Time for Concurrent and Dynamic Database Workloads |
2013 |
VLDB |
6.4603918e-05 |
| 4,802 |
Resource Elasticity for Large-Scale Machine Learning |
2015 |
SIGMOD |
5.9114415e-05 |
| 5,505 |
A Top-Down Approach to Achieving Performance Predictability in Database Systems |
2017 |
SIGMOD |
5.4734224e-05 |
| 5,688 |
PREDIcT: Towards Predicting the Runtime of Large Scale Iterative Analytics |
2013 |
VLDB |
5.3702808e-05 |
| 6,268 |
Speedup Your Analytics: Automatic Parameter Tuning for Databases and Big Data Systems |
2019 |
VLDB |
5.133857e-05 |
| 6,278 |
Uncertainty Aware Query Execution Time Prediction |
2014 |
VLDB |
5.1309442e-05 |
| 9,946 |
Not for the Timid: On the Impact of Aggressive Over-booking in the Cloud |
2016 |
VLDB |
4.2431724e-05 |
| 9,947 |
Cumulon: Matrix-Based Data Analytics in the Cloud with Spot Instances |
2016 |
VLDB |
4.2431724e-05 |
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| 6,699 |
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VLDB |
4.9566258e-05 |
| 2,731 |
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2014 |
VLDB |
8.2108797e-05 |
| 7,543 |
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VLDB |
4.715241e-05 |
| 9,598 |
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VLDB |
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