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Parallel Analytics as a Service

Summary: Thrifty prototypes MPPDB-as-a-Service, consolidating thousands of tenants on shared hardware while preserving per-tenant SLAs. Tenant-driven design with clustered MPPDBs, replicated placement for HA, and routing to the right MPPDB delivers 99.9% SLA on 200GB–3.2TB workloads using ~19% of requested nodes. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4709
Venue
SIGMOD
Year
2013
Pagerank
6.9057396e-05
Overall Rank
4,096 | 71.90%
DOI
10.1145/2463676.2463714

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{wong_sigmod13,
        title = {{Parallel Analytics as a Service}},
        author = {Wong, Petrie and He, Zhian and Lo, Eric},
        series = {{SIGMOD} '13},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2463676.2463714},
        url = {https://dl.acm.org/doi/10.1145/2463676.2463714},
        year = {2013}
}

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