Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads

Summary: Ease.ml is a declarative ML service that automates model selection and data movement for shared clusters. It formalizes multi-tenant model selection and combines multi-armed bandits with Bayesian optimization, achieving up to 4.1× speedups over prior systems. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 11957
Venue: VLDB
Year: 2018
Pagerank: 9.2843642e-05
Overall Rank: 2,029 | 86.09%
DOI: 10.1145/3177732.3177737

Incoming Non-self Citations Over Time

Authors

1. Tian Li (ETH Zurich)
2. Jie Zhong (University of Rochester)
3. Ji Liu (University of Rochester)
4. Wentao Wu (Microsoft)
5. Ce Zhang (ETH Zurich)

BibTeX Citation

@article{li_vldb18,
        title = {{Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads}},
        author = {Li, Tian and Zhong, Jie and Liu, Ji and Wu, Wentao and Zhang, Ce},
        journal = {PVLDB},
        series = {{VLDB} '18},
        volume = {11},
        number = {5},
        pages = {607--620},
        doi = {10.1145/3177732.3177737},
        url = {https://doi.org/10.1145/3177732.3177737},
        year = {2018}
}

Incoming Citations (Sorted by Pagerank)

Showing 16 of 16 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
1,004	Democratizing Data Science through Interactive Curation of ML Pipelines	2019	SIGMOD	0.00012701932
1,392	Northstar: An Interactive Data Science System	2018	VLDB	0.00010936065
3,012	Oracle AutoML: A Fast and Predictive AutoML Pipeline	2020	VLDB	7.8519448e-05
3,272	VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition	2021	VLDB	7.5775321e-05
4,062	AutoOD: Automatic Outlier Detection	2023	SIGMOD	6.9309994e-05
4,118	Rafiki: Machine Learning as an Analytics Service System	2019	VLDB	6.8908973e-05
7,127	SubStrat: A Subset-Based Optimization Strategy for Faster AutoML	2023	VLDB	5.6957765e-05
7,232	Saga: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications	2023	SIGMOD	5.6659017e-05
7,609	Ease.ml/ci and Ease.ml/meter in Action: Towards Data Management for Statistical Generalization	2019	VLDB	5.5841767e-05
7,763	MLBench: Benchmarking Machine Learning Services Against Human Experts	2018	VLDB	5.5500928e-05
8,177	HAIPipe: Combining Human-generated and Machine-generated Pipelines for Data Preparation	2023	SIGMOD	5.4730821e-05
8,244	SHiFT: An Efficient, Flexible Search Engine for Transfer Learning	2023	VLDB	5.4587712e-05
9,265	Ease.ml in Action: Towards Multi-tenant Declarative Learning Services	2018	VLDB	5.2965435e-05
9,371	Towards an Optimized GROUP BY Abstraction for Large-Scale Machine Learning	2021	VLDB	5.275595e-05
11,629	Ease.ML: A Lifecycle Management System for MLDev and MLOps	2021	CIDR	5.093636e-05
11,802	Ease.ml/snoopy in Action: Towards Automatic Feasibility Analysis for Machine Learning Application Development	2020	VLDB	5.093636e-05

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.

Rank	Cited Paper	Year	Venue	Pagerank
106	The MADlib Analytics Library or MAD Skills, the SQL	2012	VLDB	0.00033539462
415	SystemML: Declarative Machine Learning on Spark	2016	VLDB	0.0001888524
2,381	CPU Sharing Techniques for Performance Isolation in Multi-tenant Relational Database-as-a-Service	2014	VLDB	8.6607625e-05
2,717	Implicit Parallelism through Deep Language Embedding	2015	SIGMOD	8.2102313e-05
3,236	Sharing Buffer Pool Memory in Multi-Tenant Relational Database-as-a-Service	2015	VLDB	7.6108467e-05
7,204	WOO: A Scalable and Multi-tenant Platform for Continuous Knowledge Base Synthesis	2013	VLDB	5.6739087e-05

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#	Overall Rank	Paper	Year	Venue
1	4,053	Database-Agnostic Workload Management	2019	CIDR
2	7,763	MLBench: Benchmarking Machine Learning Services Against Human Experts	2018	VLDB
3	7,609	Ease.ml/ci and Ease.ml/meter in Action: Towards Data Management for Statistical Generalization	2019	VLDB
4	11,802	Ease.ml/snoopy in Action: Towards Automatic Feasibility Analysis for Machine Learning Application Development	2020	VLDB
5	4,049	Resource Elasticity for Large-Scale Machine Learning	2015	SIGMOD
6	4,987	Releasing Cloud Databases from the Chains of Performance Prediction Models	2017	CIDR
7	5,699	Optimizing Machine Learning Workloads in Collaborative Environments	2020	SIGMOD
8	532	MLbase: A Distributed Machine-learning System	2013	CIDR
9	11,629	Ease.ML: A Lifecycle Management System for MLDev and MLOps	2021	CIDR
10	9,265	Ease.ml in Action: Towards Multi-tenant Declarative Learning Services	2018	VLDB