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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)

Paper ID
hbbca636382d35c57
Venue
SIGMOD
Year
2015
Pagerank
5.1257999e-05
Overall Rank
9,815 | 34.01%
DOI
10.1145/2723372.2723377

Incoming Non-self Citations Over Time

Authors

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
10,733 APEROL: Adaptive Parallel Edge-to-cloud Runtime Optimization for Layered Workflow Execution 2026 VLDB 4.9793485e-05
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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
940 Starfish: A Self-tuning System for Big Data Analytics 2011 CIDR 0.00012964445
2,527 Stubby: A Transformation-based Optimizer for MapReduce Workflows 2012 VLDB 8.3425785e-05
5,427 xPAD: A Platform for Analytic Data Flows 2013 SIGMOD 6.1340137e-05
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