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BlinkDB: Queries with Bounded Errors and Bounded Response Times on Very
  Large Data
v1v2 (latest)

BlinkDB: Queries with Bounded Errors and Bounded Response Times on Very Large Data

European Conference on Computer Systems (EuroSys), 2012
25 March 2012
Sameer Agarwal
Aurojit Panda
Barzan Mozafari
Samuel Madden
Ion Stoica
ArXiv (abs)PDFHTML

Papers citing "BlinkDB: Queries with Bounded Errors and Bounded Response Times on Very Large Data"

50 / 61 papers shown
Niyama : Breaking the Silos of LLM Inference Serving
Niyama : Breaking the Silos of LLM Inference Serving
Kanishk Goel
Jayashree Mohan
Nipun Kwatra
Ravi Anupindi
Ramachandran Ramjee
355
4
0
28 Mar 2025
Towards Establishing Guaranteed Error for Learned Database Operations
Towards Establishing Guaranteed Error for Learned Database OperationsInternational Conference on Learning Representations (ICLR), 2024
Sepanta Zeighami
Cyrus Shahabi
136
4
0
09 Nov 2024
Private Approximate Query over Horizontal Data Federation
Private Approximate Query over Horizontal Data Federation
Ala eddine Laouir
Abdessamad Imine
FedML
100
1
0
17 Jun 2024
Biathlon: Harnessing Model Resilience for Accelerating ML Inference
  Pipelines
Biathlon: Harnessing Model Resilience for Accelerating ML Inference PipelinesProceedings of the VLDB Endowment (PVLDB), 2024
Chaokun Chang
Eric Lo
Chunxiao Ye
186
2
0
18 May 2024
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and ApplicationsACM Computing Surveys (ACM Comput. Surv.), 2023
Vasileios Leon
Muhammad Abdullah Hanif
Giorgos Armeniakos
Xun Jiao
Mohamed Bennai
K. Pekmestzi
Dimitrios Soudris
247
17
0
20 Jul 2023
Turbo: Effective Caching in Differentially-Private Databases
Turbo: Effective Caching in Differentially-Private DatabasesSymposium on Operating Systems Principles (SOSP), 2023
Kelly Kostopoulou
Pierre Tholoniat
Asaf Cidon
Roxana Geambasu
Mathias Lécuyer
284
2
0
28 Jun 2023
Reinforced Approximate Exploratory Data Analysis
Reinforced Approximate Exploratory Data AnalysisAAAI Conference on Artificial Intelligence (AAAI), 2022
Shaddy Garg
Subrata Mitra
Tong Yu
Yash Gadhia
A. Kashettiwar
150
6
0
12 Dec 2022
Efficient Transmission and Reconstruction of Dependent Data Streams via
  Edge Sampling
Efficient Transmission and Reconstruction of Dependent Data Streams via Edge Sampling
Joel Wolfrath
A. Chandra
114
4
0
12 Aug 2022
Device-centric Federated Analytics At Ease
Device-centric Federated Analytics At Ease
Li Zhang
Junji Qiu
Shangguang Wang
Mengwei Xu
FedML
93
2
0
23 Jun 2022
Electra: Conditional Generative Model based Predicate-Aware Query
  Approximation
Electra: Conditional Generative Model based Predicate-Aware Query ApproximationAAAI Conference on Artificial Intelligence (AAAI), 2022
Nikhil Sheoran
Subrata Mitra
Vibhor Porwal
Siddharth Ghetia
Jatin Varshney
Tung Mai
Anup B. Rao
Vikas Maddukuri
255
14
0
28 Jan 2022
Mr. Plotter: Unifying Data Reduction Techniques in Storage and
  Visualization Systems
Mr. Plotter: Unifying Data Reduction Techniques in Storage and Visualization Systems
Sam Kumar
Michael P. Andersen
David Culler
65
3
0
23 Jun 2021
GraphGuess: Approximate Graph Processing System with Adaptive Correction
GraphGuess: Approximate Graph Processing System with Adaptive CorrectionEuropean Conference on Parallel Processing (Euro-Par), 2021
M. Ramezani
M. Kandemir
A. Sivasubramaniam
164
1
0
11 Apr 2021
FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series
  Relational Data
FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational DataProceedings of the VLDB Endowment (PVLDB), 2021
Shuyuan Yan
Bolin Ding
Wenting Guo
Jingren Zhou
Zhewei Wei
Xiaowei Jiang
Sheng Xu
AI4TS
89
2
0
09 Jan 2021
Approximate Query Processing for Group-By Queries based on Conditional
  Generative Models
Approximate Query Processing for Group-By Queries based on Conditional Generative Models
Meifan Zhang
Hongzhi Wang
139
6
0
08 Jan 2021
Are We Ready For Learned Cardinality Estimation?
Are We Ready For Learned Cardinality Estimation?Proceedings of the VLDB Endowment (PVLDB), 2020
Xiaoying Wang
Changbo Qu
Weiyuan Wu
Jiannan Wang
Qingqing Zhou
352
142
0
12 Dec 2020
Approximating Aggregated SQL Queries With LSTM Networks
Approximating Aggregated SQL Queries With LSTM NetworksIEEE International Joint Conference on Neural Network (IJCNN), 2020
Nir Regev
Lior Rokach
A. Shabtai
308
3
0
25 Oct 2020
Leam: An Interactive System for In-situ Visual Text Analysis
Leam: An Interactive System for In-situ Visual Text AnalysisConference on Innovative Data Systems Research (CIDR), 2020
Sajjadur Rahman
P. Griggs
cCaugatay Demiralp
126
8
0
08 Sep 2020
STULL: Unbiased Online Sampling for Visual Exploration of Large
  Spatiotemporal Data
STULL: Unbiased Online Sampling for Visual Exploration of Large Spatiotemporal DataIEEE Conference on Visual Analytics Science and Technology (VAST), 2020
Guizhen Wang
Jingjing Guo
Mingjie Tang
J. Q. Neto
Calvin Yau
Anas Daghistani
M. Karimzadeh
Walid G. Aref
D. Ebert
AI4TS
63
8
0
29 Aug 2020
DeepSampling: Selectivity Estimation with Predicted Error and Response
  Time
DeepSampling: Selectivity Estimation with Predicted Error and Response Time
Tin Vu
Ahmed Eldawy
58
3
0
16 Aug 2020
On Distribution Testing in the Conditional Sampling Model
On Distribution Testing in the Conditional Sampling ModelACM-SIAM Symposium on Discrete Algorithms (SODA), 2020
Shyam Narayanan
137
10
0
20 Jul 2020
LAQP: Learning-based Approximate Query Processing
LAQP: Learning-based Approximate Query ProcessingInformation Sciences (Inf. Sci.), 2020
Meifan Zhang
Hongzhi Wang
VLM
157
12
0
05 Mar 2020
Sampling for Deep Learning Model Diagnosis (Technical Report)
Sampling for Deep Learning Model Diagnosis (Technical Report)
Parmita Mehta
S. Portillo
Magdalena Balazinska
Andrew J. Connolly
LM&MAMLAU
94
2
0
22 Feb 2020
Mosaic: A Sample-Based Database System for Open World Query Processing
Mosaic: A Sample-Based Database System for Open World Query ProcessingConference on Innovative Data Systems Research (CIDR), 2019
Laurel J. Orr
Samuel K. Ainsworth
Walter Cai
Kevin Jamieson
Magdalena Balazinska
Dan Suciu
295
7
0
17 Dec 2019
BoPF: Mitigating the Burstiness-Fairness Tradeoff in Multi-Resource
  Clusters
BoPF: Mitigating the Burstiness-Fairness Tradeoff in Multi-Resource Clusters
T. Le
Xiao Sun
Mosharaf Chowdhury
Zhenhua Liu
138
3
0
07 Dec 2019
An analysis of the graph processing landscape
An analysis of the graph processing landscape
Miguel E. Coimbra
Alexandre P. Francisco
L. Veiga
GNN
204
1
0
26 Nov 2019
Similarity Driven Approximation for Text Analytics
Similarity Driven Approximation for Text Analytics
Guangyan Hu
Zelong Li
S. Rigo
Thu D. Nguyen
161
0
0
16 Oct 2019
Differential Approximation and Sprinting for Multi-Priority Big Data
  Engines
Differential Approximation and Sprinting for Multi-Priority Big Data EnginesInternational Middleware Conference (Middleware), 2019
Robert Birke
Isabelly Rocha
Marten van Dijk
V. Schiavoni
Pascal Felber
L. Chen
104
3
0
12 Sep 2019
Adaptive Learning of Aggregate Analytics under Dynamic Workloads
Adaptive Learning of Aggregate Analytics under Dynamic Workloads
Fotis Savva
Christos Anagnostopoulos
Peter Triantafillou
194
7
0
13 Aug 2019
RSATree: Distribution-Aware Data Representation of Large-Scale Tabular
  Datasets for Flexible Visual Query
RSATree: Distribution-Aware Data Representation of Large-Scale Tabular Datasets for Flexible Visual QueryIEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2019
Honghui Mei
Wei Chen
Yating Wei
Yuanzhe Hu
Shuyue Zhou
Bingru Lin
Ying Zhao
Jiazhi Xia
171
20
0
06 Aug 2019
Hillview: A trillion-cell spreadsheet for big data
Hillview: A trillion-cell spreadsheet for big dataProceedings of the VLDB Endowment (PVLDB), 2019
M. Budiu
Parikshit Gopalan
L. Suresh
Udi Wieder
Han Kruiger
Marcos K. Aguilera
190
14
0
10 Jul 2019
Kyrix: Interactive Visual Data Exploration at Scale
Kyrix: Interactive Visual Data Exploration at ScaleConference on Innovative Data Systems Research (CIDR), 2019
Wenbo Tao
Xiaoyu Liu
Çağatay Demiralp
Remco Chang
Michael Stonebraker
106
21
0
12 May 2019
Terra: Scalable Cross-Layer GDA Optimizations
Terra: Scalable Cross-Layer GDA Optimizations
Jie You
Mosharaf Chowdhury
AI4CE
60
2
0
17 Apr 2019
Approximate Query Processing using Deep Generative Models
Approximate Query Processing using Deep Generative Models
Saravanan Thirumuruganathan
Shohedul Hasan
Nick Koudas
Gautam Das
424
58
0
24 Mar 2019
Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training
  Workloads
Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads
Myeongjae Jeon
Shivaram Venkataraman
Amar Phanishayee
Junjie Qian
Wencong Xiao
Fan Yang
GNN
268
418
0
17 Jan 2019
Explaining Aggregates for Exploratory Analytics
Explaining Aggregates for Exploratory Analytics
Fotis Savva
Christos Anagnostopoulos
Peter Triantafillou
204
18
0
29 Dec 2018
BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic
  Guarantees
BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees
Yongjoo Park
Jingyi Qing
Xiaoyang Shen
Barzan Mozafari
VLM
142
31
0
26 Dec 2018
Progressive Data Science: Potential and Challenges
Progressive Data Science: Potential and Challenges
Cagatay Turkay
Nicola Pezzotti
Carsten Binnig
Hendrik Strobelt
Barbara Hammer
Daniel A. Keim
Jean-Daniel Fekete
Themis Palpanas
Yunhai Wang
Florin Rusu
AI4TSAI4CE
205
36
0
19 Dec 2018
A Bandit Approach to Maximum Inner Product Search
A Bandit Approach to Maximum Inner Product Search
Rui Liu
Tianyi Wu
Barzan Mozafari
204
16
0
15 Dec 2018
A Survey on Spark Ecosystem for Big Data Processing
A Survey on Spark Ecosystem for Big Data Processing
Shanjian Tang
Bingsheng He
Ce Yu
Yusen Li
Kun Li
110
11
0
18 Nov 2018
Model-based Approximate Query Processing
Model-based Approximate Query Processing
Moritz Kulessa
Alejandro Molina
Carsten Binnig
Benjamin Hilprecht
Kristian Kersting
AI4TS
105
15
0
15 Nov 2018
On the Performance and Convergence of Distributed Stream Processing via
  Approximate Fault Tolerance
On the Performance and Convergence of Distributed Stream Processing via Approximate Fault Tolerance
Zhinan Cheng
Qun Huang
P. Lee
217
9
0
12 Nov 2018
Physical Representation-based Predicate Optimization for a Visual
  Analytics Database
Physical Representation-based Predicate Optimization for a Visual Analytics Database
Michael R. Anderson
Michael Cafarella
G. Ros
T. Wenisch
212
69
0
11 Jun 2018
Approximate Distributed Joins in Apache Spark
Approximate Distributed Joins in Apache Spark
D. Quoc
Istemi Ekin Akkus
Pramod Bhatotia
Spyros Blanas
Ruichuan Chen
Christof Fetzer
T. Strufe
106
7
0
15 May 2018
Approximate Edge Analytics for the IoT Ecosystem
Approximate Edge Analytics for the IoT Ecosystem
Z. Wen
D. Quoc
Pramod Bhatotia
Ruichuan Chen
Myungjin Lee
141
2
0
15 May 2018
In-Browser Split-Execution Support for Interactive Analytics in the
  Cloud
In-Browser Split-Execution Support for Interactive Analytics in the Cloud
Kareem El Gebaly
Jimmy J. Lin
71
1
0
24 Apr 2018
SLAQ: Quality-Driven Scheduling for Distributed Machine Learning
SLAQ: Quality-Driven Scheduling for Distributed Machine Learning
Haoyu Zhang
Logan Stafman
Andrew Or
M. Freedman
144
148
0
13 Feb 2018
Big Data Visualization Tools
Big Data Visualization Tools
Nikos Bikakis
248
77
0
25 Jan 2018
A Berkeley View of Systems Challenges for AI
A Berkeley View of Systems Challenges for AI
Ion Stoica
Basel Alomair
Raluca A. Popa
D. Patterson
Michael W. Mahoney
...
Joseph E. Gonzalez
Ken Goldberg
A. Ghodsi
David Culler
Pieter Abbeel
208
209
0
15 Dec 2017
A Random Sample Partition Data Model for Big Data Analysis
A Random Sample Partition Data Model for Big Data Analysis
Salman Salloum
Yulin He
J. Huang
Xiaoliang Zhang
Tamer Z. Emara
Chenghao Wei
Heping He
150
80
0
12 Dec 2017
Visualization of Big Spatial Data using Coresets for Kernel Density
  Estimates
Visualization of Big Spatial Data using Coresets for Kernel Density Estimates
Yan Zheng
Y. Ou
A. Lex
J. M. Phillips
79
25
0
13 Sep 2017
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