IReS: Intelligent, Multi-Engine Resource Scheduler for Big Data Analytics Workflows
Summary: Intelligent resource scheduler for multi-engine big-data analytics. IReS models task costs across diverse compute/data engines and maps workflow fragments to the best engine per user policy, enabling heterogeneous runtimes and data stores. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Katerina Doka (National Technical University of Athens)
- 2. Nikolaos Papailiou (National Technical University of Athens)
- 3. Dimitrios Tsoumakos (Ionian University)
- 4. Christos Mantas (National Technical University of Athens)
- 5. Nectarios Koziris (National Technical University of Athens)
BibTeX Citation
@inproceedings{doka_sigmod15,
title = {{IReS: Intelligent, Multi-Engine Resource Scheduler for Big Data Analytics Workflows}},
author = {Doka, Katerina and Papailiou, Nikolaos and Tsoumakos, Dimitrios and Mantas, Christos and Koziris, Nectarios},
series = {{SIGMOD} '15},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2723372.2723377},
url = {https://dl.acm.org/doi/10.1145/2723372.2723377},
year = {2015}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,551 | APEROL: Adaptive Parallel Edge-to-cloud Runtime Optimization for Layered Workflow Execution | 2026 | VLDB | 5.093636e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 923 | Starfish: A Self-tuning System for Big Data Analytics | 2011 | CIDR | 0.00013189886 |
| 2,486 | Stubby: A Transformation-based Optimizer for MapReduce Workflows | 2012 | VLDB | 8.5143189e-05 |
| 5,319 | xPAD: A Platform for Analytic Data Flows | 2013 | SIGMOD | 6.2671857e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 13,557 | Big Data Science Needs Big Data Middleware | 2015 | CIDR |
| 2 | 3,275 | Optimizing Analytic Data Flows for Multiple Execution Engines | 2012 | SIGMOD |
| 3 | 12,170 | Palette: Enabling Scalable Analytics for Big-Memory, Multicore Machines | 2014 | SIGMOD |
| 4 | 2,913 | Constance: An Intelligent Data Lake System | 2016 | SIGMOD |
| 5 | 9,011 | ERIS Live: A NUMA-Aware In-Memory Storage Engine for Tera-Scale Multiprocessor Systems | 2014 | SIGMOD |
| 6 | 12,118 | ShareInsights - An Unified Approach to Full-stack Data Processing | 2015 | SIGMOD |
| 7 | 9,983 | Rheem: Enabling Multi-Platform Task Execution | 2016 | SIGMOD |
| 8 | 12,011 | Flower: A Data Analytics Flow Elasticity Manager | 2017 | VLDB |
| 9 | 11,031 | Accordion: Balancing Performance and Cost in Cloud-Native Data Analysis with Intra-Query Runtime Elasticity | 2025 | VLDB |
| 10 | 7,082 | REEF: Retainable Evaluator Execution Framework | 2013 | VLDB |