JetScope: Reliable and Interactive Analytics at Cloud Scale
Summary: JetScope: cloud-scale interactive analytics with a SQL-like declarative language for scalable, low-latency queries. Fine-grained fault tolerance with fast recovery that minimizes latency; optimized access methods and scheduling for deployments. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Eric Boutin (Microsoft)
- 2. Paul Brett (Microsoft)
- 3. Xiaoyu Chen (Microsoft)
- 4. Jaliya Ekanayake (Microsoft)
- 5. Tao Guan (Microsoft)
- 6. Anna Korsun (Microsoft)
- 7. Zhicheng Yin (Microsoft)
- 8. Nan Zhang (Microsoft)
- 9. Jingren Zhou (Microsoft)
BibTeX Citation
@article{boutin_vldb15,
title = {{JetScope: Reliable and Interactive Analytics at Cloud Scale}},
author = {Boutin, Eric and Brett, Paul and Chen, Xiaoyu and Ekanayake, Jaliya and Guan, Tao and Korsun, Anna and Yin, Zhicheng and Zhang, Nan and Zhou, Jingren},
journal = {PVLDB},
series = {{VLDB} '15},
volume = {8},
number = {12},
pages = {1680--1691},
doi = {10.14778/2824032.2824064},
url = {https://doi.org/10.14778/2824032.2824064},
year = {2015}
}
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,767 | Survivability of Cloud Databases - Factors and Prediction | 2018 | SIGMOD | 5.9997338e-05 |
| 7,086 | KEA: Tuning an Exabyte-Scale Data Infrastructure | 2021 | SIGMOD | 5.6002958e-05 |
| 7,315 | Bubble Execution: Resource-aware Reliable Analytics at Cloud Scale | 2018 | VLDB | 5.5529695e-05 |
| 7,930 | Runtime Variation in Big Data Analytics | 2023 | SIGMOD | 5.42309e-05 |
| 11,998 | Toto - Benchmarking the Efficiency of a Cloud Service | 2021 | SIGMOD | 4.9769913e-05 |
| 12,037 | Fangorn: Adaptive Execution Framework for Heterogeneous Workloads on Shared Clusters | 2021 | VLDB | 4.9769913e-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 |
|---|---|---|---|---|
| 6 | Pig Latin: A Not-So-Foreign Language for Data Processing | 2008 | SIGMOD | 0.0010515896 |
| 23 | Spark SQL: Relational Data Processing in Spark | 2015 | SIGMOD | 0.00055384955 |
| 31 | Hive - A Warehousing Solution Over a Map-Reduce Framework | 2009 | VLDB | 0.00049821554 |
| 48 | Weaving Relations for Cache Performance | 2001 | VLDB | 0.00043795812 |
| 49 | Dremel: Interactive Analysis of Web-Scale Datasets | 2010 | VLDB | 0.0004314366 |
| 327 | Impala: A Modern, Open-Source SQL Engine for Hadoop | 2015 | CIDR | 0.00020942751 |
| 432 | Shark: SQL and Rich Analytics at Scale | 2013 | SIGMOD | 0.00018331051 |
| 617 | F1: A Distributed SQL Database That Scales | 2013 | VLDB | 0.00015548752 |
| 1,073 | Interactive Analytical Processing in Big Data Systems: A Cross-Industry Study of MapReduce Workloads | 2012 | VLDB | 0.00012163258 |
| 1,381 | Scuba: Diving into Data at Facebook | 2013 | VLDB | 0.00010856731 |
| 1,885 | SQL-on-Hadoop: Full Circle Back to Shared-Nothing Database Architectures | 2014 | VLDB | 9.4345374e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 6,340 | The CloudMdsQL Multistore System | 2016 | SIGMOD |
| 2 | 9,823 | Supporting Scalable Analytics with Latency Constraints | 2015 | VLDB |
| 3 | 2,009 | PIQL: Success-Tolerant Query Processing in the Cloud | 2012 | VLDB |
| 4 | 7,233 | QueryScope: Visualizing Queries for Repeatable Database Tuning | 2008 | VLDB |
| 5 | 7,776 | Squall: Scalable Real-time Analytics | 2016 | VLDB |
| 6 | 932 | Starling: A Scalable Query Engine on Cloud Functions | 2020 | SIGMOD |
| 7 | 3,637 | Advanced Join Strategies for Large-Scale Distributed Computation | 2014 | VLDB |
| 8 | 30 | SCOPE: Easy and Efficient Parallel Processing of Massive Data Sets | 2008 | VLDB |
| 9 | 4,820 | Continuous Cloud-Scale Query Optimization and Processing | 2013 | VLDB |
| 10 | 7,315 | Bubble Execution: Resource-aware Reliable Analytics at Cloud Scale | 2018 | VLDB |