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Bubble Execution: Resource-aware Reliable Analytics at Cloud Scale

Summary: Bubble Execution partitions large query DAGs into resource-budgeted, independently scheduled bubbles rather than gang-scheduling all tasks. It preserves streaming within bubbles and fault tolerance via boundary materialization, reducing failure-induced resource waste at cloud scale. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
11968
Venue
VLDB
Year
2018
Pagerank
5.6793679e-05
Overall Rank
7,182 | 50.73%
DOI
10.14778/3192965.3192967

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{yin_vldb18,
        title = {{Bubble Execution: Resource-aware Reliable Analytics at Cloud Scale}},
        author = {Yin, Zhicheng and Sun, Jin and Li, Ming and Ekanayake, Jaliya and Lin, Haibo and Friedman, Marc and Blakeley, José A. and Szyperski, Clemens and Devanur, Nikhil R.},
        journal = {PVLDB},
        series = {{VLDB} '18},
        volume = {11},
        number = {7},
        pages = {746--758},
        doi = {10.14778/3192965.3192967},
        url = {https://doi.org/10.14778/3192965.3192967},
        year = {2018}
}

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
2,822 Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings 2020 SIGMOD 8.0898536e-05
6,121 The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward 2021 VLDB 5.9688569e-05
7,589 Cost-Intelligent Data Analytics in the Cloud 2024 CIDR 5.5907048e-05
10,039 Towards Resource-adaptive Query Execution in Cloud Native Databases 2024 CIDR 5.1723558e-05
11,728 Fangorn: Adaptive Execution Framework for Heterogeneous Workloads on Shared Clusters 2021 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
24 Spark SQL: Relational Data Processing in Spark 2015 SIGMOD 0.00054865648
29 Database Architecture Optimized for the New Bottleneck: Memory Access 1999 VLDB 0.00052093615
30 SCOPE: Easy and Efficient Parallel Processing of Massive Data Sets 2008 VLDB 0.00051174276
51 Dremel: Interactive Analysis of Web-Scale Datasets 2010 VLDB 0.0004291425
330 Impala: A Modern, Open-Source SQL Engine for Hadoop 2015 CIDR 0.0002104801
425 Shark: SQL and Rich Analytics at Scale 2013 SIGMOD 0.00018704491
474 Dynamic Query Evaluation Plans 1989 SIGMOD 0.00017894953
872 Tenzing: A SQL Implementation On The MapReduce Framework 2011 VLDB 0.00013486409
1,747 SQL Server Column Store Indexes 2011 SIGMOD 9.8494706e-05
4,742 Continuous Cloud-Scale Query Optimization and Processing 2013 VLDB 6.5269203e-05
6,822 JetScope: Reliable and Interactive Analytics at Cloud Scale 2015 VLDB 5.7627651e-05
Previous Page 1 / 1 Next

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