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: h9b13723af93b1dd4
Venue: VLDB
Year: 2018
Pagerank: 9.1414653e-05
Overall Rank: 2,031 | 86.39%
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
948	Democratizing Data Science through Interactive Curation of ML Pipelines	2019	SIGMOD	0.00012900728
1,416	Northstar: An Interactive Data Science System	2018	VLDB	0.00010707248
3,076	Oracle AutoML: A Fast and Predictive AutoML Pipeline	2020	VLDB	7.6586517e-05
3,340	VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition	2021	VLDB	7.3886578e-05
4,123	AutoOD: Automatic Outlier Detection	2023	SIGMOD	6.780889e-05
4,198	Rafiki: Machine Learning as an Analytics Service System	2019	VLDB	6.7303243e-05
5,230	Saga: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications	2023	SIGMOD	6.2059854e-05
5,466	HAIPipe: Combining Human-generated and Machine-generated Pipelines for Data Preparation	2023	SIGMOD	6.1038307e-05
7,297	SubStrat: A Subset-Based Optimization Strategy for Faster AutoML	2023	VLDB	5.5469403e-05
7,765	Ease.ml/ci and Ease.ml/meter in Action: Towards Data Management for Statistical Generalization	2019	VLDB	5.4400458e-05
7,911	MLBench: Benchmarking Machine Learning Services Against Human Experts	2018	VLDB	5.4124754e-05
8,435	SHiFT: An Efficient, Flexible Search Engine for Transfer Learning	2023	VLDB	5.3161281e-05
9,474	Ease.ml in Action: Towards Multi-tenant Declarative Learning Services	2018	VLDB	5.1581396e-05
9,589	Towards an Optimized GROUP BY Abstraction for Large-Scale Machine Learning	2021	VLDB	5.1377385e-05
11,986	Ease.ML: A Lifecycle Management System for MLDev and MLOps	2021	CIDR	4.9605343e-05
12,154	Ease.ml/snoopy in Action: Towards Automatic Feasibility Analysis for Machine Learning Application Development	2020	VLDB	4.9605343e-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
105	The MADlib Analytics Library or MAD Skills, the SQL	2012	VLDB	0.00033605348
415	SystemML: Declarative Machine Learning on Spark	2016	VLDB	0.00018619173
2,295	CPU Sharing Techniques for Performance Isolation in Multi-tenant Relational Database-as-a-Service	2014	VLDB	8.677224e-05
2,758	Implicit Parallelism through Deep Language Embedding	2015	SIGMOD	8.0283838e-05
3,005	Sharing Buffer Pool Memory in Multi-Tenant Relational Database-as-a-Service	2015	VLDB	7.7460817e-05
7,345	WOO: A Scalable and Multi-tenant Platform for Continuous Knowledge Base Synthesis	2013	VLDB	5.5318758e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	4,061	Database-Agnostic Workload Management	2019	CIDR
2	7,911	MLBench: Benchmarking Machine Learning Services Against Human Experts	2018	VLDB
3	7,765	Ease.ml/ci and Ease.ml/meter in Action: Towards Data Management for Statistical Generalization	2019	VLDB
4	12,154	Ease.ml/snoopy in Action: Towards Automatic Feasibility Analysis for Machine Learning Application Development	2020	VLDB
5	4,134	Resource Elasticity for Large-Scale Machine Learning	2015	SIGMOD
6	5,097	Releasing Cloud Databases from the Chains of Performance Prediction Models	2017	CIDR
7	5,808	Optimizing Machine Learning Workloads in Collaborative Environments	2020	SIGMOD
8	538	MLbase: A Distributed Machine-learning System	2013	CIDR
9	11,986	Ease.ML: A Lifecycle Management System for MLDev and MLOps	2021	CIDR
10	9,474	Ease.ml in Action: Towards Multi-tenant Declarative Learning Services	2018	VLDB