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Computation Reuse in Analytics Job Service at Microsoft

Summary: CloudViews: computation reuse for Microsoft’s SCOPE analytics service. Online materialized views capture recurring workloads; a feedback loop uses compile-time/run-time stats to estimate utility vs. cost, enabling online, no-offline materialization. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5490
Venue
SIGMOD
Year
2018
Pagerank
6.3800823e-05
Overall Rank
4,171 | 71.02%
DOI
10.1145/3183713.3190656

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 30 of 30 citing papers.

Rank Citing Paper Year Venue Pagerank
1,699 Are We Ready For Learned Cardinality Estimation? 2021 VLDB 0.00010848882
1,921 Selecting Subexpressions to Materialize at Datacenter Scale 2018 VLDB 0.00010085899
2,080 Towards a Learning Optimizer for Shared Clouds 2019 VLDB 9.5954034e-05
3,623 Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings 2020 SIGMOD 6.9017341e-05
3,966 Apache Hive: From MapReduce to Enterprise-grade Big Data Warehousing 2019 SIGMOD 6.5782437e-05
4,226 Hyper Dimension Shuffle: Efficient Data Repartition at Petabyte Scale in SCOPE 2019 VLDB 6.3382156e-05
4,687 Deploying a Steered Query Optimizer in Production at Microsoft 2022 SIGMOD 5.9915268e-05
5,575 Optimizing Data Pipelines for Machine Learning in Feature Stores 2023 VLDB 5.4253204e-05
5,994 Steering Query Optimizers: A Practical Take on Big Data Workloads 2021 SIGMOD 5.2367998e-05
6,152 Crystal: A Unified Cache Storage System for Analytical Databases 2021 VLDB 5.1802666e-05
6,278 The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward 2021 VLDB 5.1241654e-05
6,883 PilotScope: Steering Databases with Machine Learning Drivers 2024 VLDB 4.8918682e-05
6,986 CrocodileDB: Efficient Database Execution through Intelligent Deferment 2020 CIDR 4.8672517e-05
7,459 Lachesis: Automatic Partitioning for UDF-Centric Analytics 2021 VLDB 4.7199075e-05
7,652 Machine Learning for Cloud Data Systems: the Progress so far and the Path Forward 2021 VLDB 4.6831938e-05
7,685 AutoToken: Predicting Peak Parallelism for Big Data Analytics at Microsoft 2020 VLDB 4.6753414e-05
7,809 Sibyl: Forecasting Time-Evolving Query Workloads 2024 SIGMOD 4.6415559e-05
8,005 Pangea: Monolithic Distributed Storage for Data Analytics 2019 VLDB 4.6044087e-05
8,196 SparkCruise: Workload Optimization in Managed Spark Clusters at Microsoft 2021 VLDB 4.5568952e-05
8,288 View Selection over Knowledge Graphs in Triple Stores 2021 VLDB 4.5392079e-05
8,378 Towards Building Autonomous Data Services on Azure 2023 SIGMOD 4.5275731e-05
8,579 Towards Query Optimizer as a Service (QOaaS) in a Unified LakeHouse Ecosystem: Can One QO Rule Them All? 2025 CIDR 4.4877266e-05
8,754 Hyperspace: The Indexing Subsystem of Azure Synapse 2021 VLDB 4.4520434e-05
8,780 GEqO: ML-Accelerated Semantic Equivalence Detection 2023 SIGMOD 4.4485568e-05
9,138 Phoebe: A Learning-based Checkpoint Optimizer 2021 VLDB 4.3842765e-05
9,349 Hippo: Sharing Computations in Hyper-Parameter Optimization 2022 VLDB 4.3497707e-05
9,734 SparkCruise: Handsfree Computation Reuse in Spark 2019 VLDB 4.2901665e-05
9,764 QURE: AI-Assisted and Automatically Verified UDF Inlining 2025 SIGMOD 4.2815042e-05
9,803 Cquirrel: Continuous Query Processing over Acyclic Relational Schemas 2021 VLDB 4.2777144e-05
13,210 PikePlace: Generating Intelligence for Marketplace Datasets 2023 VLDB -
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Outgoing Citations (Sorted by Pagerank)

Showing 26 of 26 cited papers.

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

Rank Cited Paper Year Venue Pagerank
11 Implementing Data Cubes Efficiently 1996 SIGMOD 0.0011695087
22 SCOPE: Easy and Efficient Parallel Processing of Massive Data Sets 2008 VLDB 0.00084679526
70 Hive - A Warehousing Solution Over a Map-Reduce Framework 2009 VLDB 0.00059744625
71 How Good Are Query Optimizers, Really? 2016 VLDB 0.00059446482
160 Automated Selection of Materialized Views and Indexes for SQL Databases 2000 VLDB 0.00040053897
179 Efficient and Extensible Algorithms for Multi Query Optimization 2000 SIGMOD 0.00037637319
181 LEO - DB2's LEarning Optimizer 2001 VLDB 0.00036970794
221 Efficient Mid-Query Re-Optimization of Sub-Optimal Query Execution Plans 1998 SIGMOD 0.00033182072
609 Goods: Organizing Google's Datasets 2016 SIGMOD 0.00019223217
650 Robust Query Processing through Progressive Optimization 2004 SIGMOD 0.0001865144
826 Main-Memory Scan Sharing For Multi-Core CPUs 2008 VLDB 0.00016161625
947 MRShare: Sharing Across Multiple Queries in MapReduce 2010 VLDB 0.00015112344
1,027 Cooperative Scans: Dynamic Bandwidth Sharing in a DBMS 2007 VLDB 0.0001458537
1,268 Proactive Re-Optimization 2005 SIGMOD 0.00012914584
1,360 Data Warehouse Configuration 1997 VLDB 0.0001239983
1,475 Efficient Exploitation of Similar Subexpressions for Query Processing 2007 SIGMOD 0.00011765071
2,211 ReStore: Reusing Results of MapReduce Jobs 2012 VLDB 9.2823037e-05
2,695 An Architecture for Recycling Intermediates in a Column-store 2009 SIGMOD 8.2827669e-05
2,928 Shared Workload Optimization 2014 VLDB 7.881485e-05
3,709 Multi-Query Optimization in MapReduce Framework 2014 VLDB 6.8211506e-05
5,012 Dynamically Optimizing Queries over Large Scale Data Platforms 2014 SIGMOD 5.7543101e-05
5,298 MQJoin: Efficient Shared Execution of Main-Memory Joins 2016 VLDB 5.5762694e-05
5,309 Continuous Cloud-Scale Query Optimization and Processing 2013 VLDB 5.5714729e-05
7,205 Kodiak: Leveraging Materialized Views For Very Low-Latency Analytics Over High-Dimensional Web-Scale Data 2016 VLDB 4.7965293e-05
7,690 ROBUS: Fair Cache Allocation for Data-parallel Workloads 2017 SIGMOD 4.6723821e-05
7,838 Dependency-Driven Analytics: a Compass for Uncharted Data Oceans 2017 CIDR 4.6338262e-05
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