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Anser: Adaptive Information Sharing Framework of AnalyticDB
Summary: Anser adds a system-wide information-sharing layer to AnalyticDB to manage runtime statistics across nodes for holistic adaptive processing. Its scheduler optimizes data and information exchanges in physical plans to speed complex analytical queries while preserving interactive-query latency.
(summarized by gpt-5-mini on Feb 09 2026)
- Paper ID
- 13194
- Venue
- VLDB
- Year
- 2023
- Pagerank
- 4.1905499e-05
- Overall Rank
- 11,269 | 21.68%
- DOI
-
10.14778/3611540.3611553
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Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 22 of 22 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 51 |
Including Group-By in Query Optimization |
1994 |
VLDB |
0.00067060283 |
| 66 |
Spark SQL: Relational Data Processing in Spark |
2015 |
SIGMOD |
0.00061707583 |
| 116 |
Eddies: Continuously Adaptive Query Processing |
2000 |
SIGMOD |
0.00046191288 |
| 181 |
LEO - DB2's LEarning Optimizer |
2001 |
VLDB |
0.00036970794 |
| 218 |
Aggregate-Query Processing in Data Warehousing Environments |
1995 |
VLDB |
0.00033489004 |
| 221 |
Efficient Mid-Query Re-Optimization of Sub-Optimal Query Execution Plans |
1998 |
SIGMOD |
0.00033182072 |
| 230 |
A Performance Evaluation of Four Parallel Join Algorithms in a Shared-Nothing Multiprocessor Environment |
1989 |
SIGMOD |
0.00032145125 |
| 424 |
Amazon Redshift and the Case for Simpler Data Warehouses |
2015 |
SIGMOD |
0.00023604384 |
| 509 |
Dynamic Query Evaluation Plans |
1989 |
SIGMOD |
0.00021463676 |
| 730 |
AnalyticDB-V: A Hybrid Analytical Engine Towards Query Fusion for Structured and Unstructured Data |
2020 |
VLDB |
0.00017443615 |
| 1,268 |
Proactive Re-Optimization |
2005 |
SIGMOD |
0.00012914584 |
| 1,273 |
Amazon Redshift Re-invented |
2022 |
SIGMOD |
0.00012870386 |
| 1,313 |
Cost-Based Optimization for Magic: Algebra and Implementation |
1996 |
SIGMOD |
0.00012629432 |
| 1,581 |
Execution Strategies for SQL Subqueries |
2007 |
SIGMOD |
0.00011262795 |
| 3,016 |
Adaptive and Big Data Scale Parallel Execution in Oracle |
2013 |
VLDB |
7.7060968e-05 |
| 3,153 |
AnalyticDB: Real-time OLAP Database System at Alibaba Cloud |
2019 |
VLDB |
7.4706916e-05 |
| 3,623 |
Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings |
2020 |
SIGMOD |
6.9017341e-05 |
| 3,777 |
Instance-Optimized Data Layouts for Cloud Analytics Workloads |
2021 |
SIGMOD |
6.7713324e-05 |
| 4,945 |
Lifting the Burden of History from Adaptive Query Processing |
2004 |
VLDB |
5.8115261e-05 |
| 5,833 |
Adaptive Query Processing: Why, How, When, What Next |
2006 |
SIGMOD |
5.3083853e-05 |
| 6,142 |
Closing The Query Processing Loop in Oracle 11g |
2008 |
VLDB |
5.186791e-05 |
| 8,502 |
New Query Optimization Techniques in the Spark Engine of Azure Synapse |
2022 |
VLDB |
4.491819e-05 |
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