short-paper

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

Get Access

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.

References

[1]

Michael Carey, Steven Jacobs, and Vassilis Tsotras. 2016. Breaking BAD: a data serving vision for big active data. In DEBS. 181--186.

Google Scholar

[2]

Zhida Chen, Gao Cong, Zhenjie Zhang, Tom ZJ Fuz, and Lisi Chen. 2017. Distributed publish/subscribe query processing on the spatio-textual data stream. In ICDE. IEEE, 1095--1106.

Google Scholar

[3]

Tyson Condie, Neil Conway, Peter Alvaro, Joseph M Hellerstein, Khaled Elmeleegy, and Russell Sears. 2010. MapReduce online. In NSDI, Vol. 10.

Google Scholar

[4]

Lukasz Golab, Theodore Johnson, J Spencer Seidel, and Vladislav Shkapenyuk. 2009. Stream warehousing with DataDepot. In SIGMOD. ACM, 847--854.

Google Scholar

[5]

Ahmed R Mahmood, Anas Daghistani, Ahmed M Aly, Mingjie Tang, Saleh Basalamah, Sunil Prabhakar, and Walid G Aref. 2018. Adaptive processing of spatial-keyword data over a distributed streaming cluster. In SIGSPATIAL. ACM, 219--228.

Google Scholar

[6]

Varun Pandey, Andreas Kipf, Thomas Neumann, and Alfons Kemper. 2018. How Good Are Modern Spatial Analytics Systems? PVLDB, Vol. 11, 11 (2018), 1661--1673.

Digital Library

Google Scholar

Cited By

View all

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
Show More Cited By

Index Terms

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

Recommendations

STAR: A Cache-based Distributed Warehouse System for Spatial Data Streams
SIGSPATIAL '21: Proceedings of the 29th International Conference on Advances in Geographic Information Systems

The proliferation of mobile phones and location-based services has given rise to an explosive growth in spatial data. In order to enable spatial data analytics, spatial data needs to be streamed into a data stream warehouse system that can provide real-...
STAR: A Cache-based Stream Warehouse System for Spatial Data
The proliferation of mobile phones and location-based services has given rise to an explosive growth in spatial data. To enable spatial data analytics, spatial data needs to be streamed into a data stream warehouse system that can provide real-time ...
Fuzzy Spatial Data Warehouse: A Multidimensional Model
ENC '07: Proceedings of the Eighth Mexican International Conference on Current Trends in Computer Science

Data warehouses have been used for a large variety of applications in order to provide support for the information decision support systems during knowledge discover process. Geographical Information Systems have gotten the benefits from data ...

Comments

Information & Contributors

Information

Published In

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

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 31 May 2020

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Short-paper

Funding Sources

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

Conference

SIGMOD/PODS '20

Sponsor:

SIGMOD

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

June 14 - 19, 2020

OR, Portland, USA

Acceptance Rates

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

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

8
Total Citations
View Citations
369
Total Downloads

Downloads (Last 12 months)25
Downloads (Last 6 weeks)4

Reflects downloads up to 09 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

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

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

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

Comments

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Funding Sources

Conference

Acceptance Rates

Other Metrics

Article Metrics

Other Metrics

Cited By

Login options

Full Access

PDF

eReader

Abstract

References

Cited By

Index Terms

Recommendations

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

Comments

Information

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Funding Sources

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Get Access

Login options

Full Access

View options

PDF

eReader

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations