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STAR: A Distributed Stream Warehouse System for Spatial Data

Authors:

Zhida Chen,

Gao Cong,

Walid G. ArefAuthors Info & Claims

SIGMOD '20: Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data

Pages 2761 - 2764

https://doi.org/10.1145/3318464.3384699

Published: 31 May 2020 Publication History

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Abstract

The proliferation of mobile phones and location-based services gives rise to an explosive growth of spatial data. This spatial data contains valuable information, and calls for data stream warehouse systems that can provide real-time analytical results with the latest integrated spatial data. In this demonstration, we present the STAR (Spatial Data Stream Warehouse) system. STAR is a distributed in-memory spatial data stream warehouse system that provides low-latency and up-to-date analytical results over a fast spatial data stream. STAR supports a rich set of aggregate queries for spatial data analytics, e.g., contrasting the frequencies of spatial objects that appear in different spatial regions, or showing the most frequently mentioned topics being tweeted in different cities. STAR processes aggregate queries by maintaining distributed materialized views. Additionally, STAR supports dynamic load adjustment that makes STAR scalable and adaptive. We demonstrate STAR on top of Amazon EC2 clusters using real data sets.

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Cited By

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Zheng LXiao QCai X(2024)A Universal Sketch for Estimating Heavy Hitters and Per-Element Frequency Moments in Data Streams with Bounded DeletionsProceedings of the ACM on Management of Data10.1145/36987992:6(1-28)Online publication date: 20-Dec-2024
https://dl.acm.org/doi/10.1145/3698799
Heddes MNunes IGivargis TNicolau A(2024)Convolution and Cross-Correlation of Count Sketches Enables Fast Cardinality Estimation of Multi-Join QueriesProceedings of the ACM on Management of Data10.1145/36549322:3(1-26)Online publication date: 30-May-2024
https://dl.acm.org/doi/10.1145/3654932
Chen GZou WJing WWei WScherer R(2023)Improving the Efficiency of the EMS-Based Smart City: A Novel Distributed Framework for Spatial DataIEEE Transactions on Industrial Informatics10.1109/TII.2022.319405619:1(594-604)Online publication date: Jan-2023
https://doi.org/10.1109/TII.2022.3194056
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Index Terms

STAR: A Distributed Stream Warehouse System for Spatial Data
1. Information systems
  1. Data management systems
    1. Database management system engines

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SIGMOD '20: Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data

June 2020

2925 pages

ISBN:9781450367356

DOI:10.1145/3318464

General Chairs:
David Maier
Portland State University, USA
,
Rachel Pottinger
University of British Columbia, Canada
,
Program Chairs:
AnHai Doan
University of Wisconsin, USA
,
Wang-Chiew Tan
Megagon Labs, USA
,
Publications Chairs:
Abdussalam Alawini
University of Illinois at Urbana-Champaign, USA
,
Hung Q. Ngo
RelationalAI, USA

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Association for Computing Machinery

New York, NY, United States

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Published: 31 May 2020

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Industry Alignment Fund-Industry Collaboration Projects Grant
NTU ACE grant
MOE Tier-2 grant

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SIGMOD/PODS '20

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SIGMOD

SIGMOD/PODS '20: International Conference on Management of Data

June 14 - 19, 2020

OR, Portland, USA

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Overall Acceptance Rate 785 of 4,003 submissions, 20%

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Zheng LXiao QCai X(2024)A Universal Sketch for Estimating Heavy Hitters and Per-Element Frequency Moments in Data Streams with Bounded DeletionsProceedings of the ACM on Management of Data10.1145/36987992:6(1-28)Online publication date: 20-Dec-2024
https://dl.acm.org/doi/10.1145/3698799
Heddes MNunes IGivargis TNicolau A(2024)Convolution and Cross-Correlation of Count Sketches Enables Fast Cardinality Estimation of Multi-Join QueriesProceedings of the ACM on Management of Data10.1145/36549322:3(1-26)Online publication date: 30-May-2024
https://dl.acm.org/doi/10.1145/3654932
Chen GZou WJing WWei WScherer R(2023)Improving the Efficiency of the EMS-Based Smart City: A Novel Distributed Framework for Spatial DataIEEE Transactions on Industrial Informatics10.1109/TII.2022.319405619:1(594-604)Online publication date: Jan-2023
https://doi.org/10.1109/TII.2022.3194056
Alam MTorgo LBifet A(2022)A Survey on Spatio-temporal Data Analytics SystemsACM Computing Surveys10.1145/350790454:10s(1-38)Online publication date: 10-Nov-2022
https://dl.acm.org/doi/10.1145/3507904
Daghistani AKhayat MFelemban MAref WGhafoor A(2022)Guard: Attack-Resilient Adaptive Load Balancing in Distributed Streaming SystemsIEEE Transactions on Dependable and Secure Computing10.1109/TDSC.2021.312307119:6(4172-4186)Online publication date: 1-Nov-2022
https://doi.org/10.1109/TDSC.2021.3123071
Wang JXiong ZHan QHan XYang D(2022) Top- k Socially Constrained Spatial Keyword Search in Large SIoT Networks IEEE Internet of Things Journal10.1109/JIOT.2021.31141559:12(9280-9289)Online publication date: 15-Jun-2022
https://doi.org/10.1109/JIOT.2021.3114155
Daghistani AAref WGhafoor AMahmood A(2021)SWARM: Adaptive Load Balancing in Distributed Streaming Systems for Big Spatial DataACM Transactions on Spatial Algorithms and Systems10.1145/34600137:3(1-43)Online publication date: 8-Jun-2021
https://dl.acm.org/doi/10.1145/3460013
Eldawy AHristidis VGhosh SSaeedan MSevim ASiddique ASingla SSivaram GVu TZhang YDemartini GZuccon GCulpepper JHuang ZTong H(2021)BeastProceedings of the 30th ACM International Conference on Information & Knowledge Management10.1145/3459637.3481897(3796-3807)Online publication date: 26-Oct-2021
https://dl.acm.org/doi/10.1145/3459637.3481897
Daghistani AAref WGhafoor A(2020)TrioStatProceedings of the 28th International Conference on Advances in Geographic Information Systems10.1145/3397536.3422220(78-86)Online publication date: 3-Nov-2020
https://dl.acm.org/doi/10.1145/3397536.3422220

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STAR: A Cache-based Distributed Warehouse System for Spatial Data Streams

STAR: A Cache-based Stream Warehouse System for Spatial Data

Fuzzy Spatial Data Warehouse: A Multidimensional Model

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