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A Survey of Spatio-Temporal Big Data Indexing Methods in Distributed Environment
2022
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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How to construct an effective index for the application requirements of spatio-temporal data in a distributed environment has become one of the hotspots of spatio-temporal big data research. ...
Many spatio-temporal indexing methods have been proposed to support efficient query processing of spatio-temporal data. ...
Li, with special thank A. Eldawy, Assistant Professor, with the University of California Riverside. This article was produced by the IEEE Publication Technology Group. ...
doi:10.1109/jstars.2022.3175657
fatcat:tjklpbkfffasjhwillift47k2i
Scout
2017
Proceedings of the 2017 ACM International Conference on Management of Data - SIGMOD '17
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This demo presents Scout; a full-fledged interactive data visualization system with native support for spatio-temporal data. ...
Scout supports a variety of spatio-temporal queriesrange, k-NN, and join. We use real data sets to demonstrate scalability and important features of Scout. ...
SIGMOD In this demo, we present Scout; a scalable interactive visualization system for exploring big spatio-temporal data. ...
doi:10.1145/3035918.3056444
dblp:conf/sigmod/ChavanM17
fatcat:nimibnvmsnabpfkyvnzyjlz74u
A Survey on Spatio-temporal Data Analytics Systems
[article]
2021
arXiv
pre-print
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Due to the surge of spatio-temporal data volume, the popularity of location-based services and applications, and the importance of extracted knowledge from spatio-temporal data to solve a wide range of ...
for mining spatio-temporal data. ...
BIG SPATIO-TEMPORAL DATA PROCESSING INFRASTRUCTURES With the rise of big spatial and spatio-temporal data and its application domains, there is demand for highly scalable and distributed data processing ...
arXiv:2103.09883v1
fatcat:ndpqz67bvnghpng36o3liqlr2q
Demonstration of Taghreed: A system for querying, analyzing, and visualizing geotagged microblogs
2015
2015 IEEE 31st International Conference on Data Engineering
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This paper demonstrates Taghreed; a full-fledged system for efficient and scalable querying, analyzing, and visualizing geotagged microblogs, such as tweets. ...
Taghreed is the first system that addresses all these challenges collectively for geotagged microblogs data. ...
However, TweeQL just provides a wrapping interface for Twitter streaming APIs without addressing the actual data management issues for microblogs big data. ...
doi:10.1109/icde.2015.7113390
dblp:conf/icde/0001AAMGGBM15
fatcat:khpz6ryvgbeqjijnsq65xvt2qm
Query Processing Techniques for Big Spatial-Keyword Data
2017
Proceedings of the 2017 ACM International Conference on Management of Data - SIGMOD '17
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We describe the main models for big spatialkeyword processing, and list the popular spatial-keyword queries. ...
We live in the era of big data and the big data model is currently been used to address scalability issues in various application domains. ...
It is important to have a big spatio-temporal and keyword system that is able to process, index, and query spatial-temporal-keyword data in a scalable manner. ...
doi:10.1145/3035918.3054773
dblp:conf/sigmod/MahmoodA17
fatcat:h444z7zuazayhcjc2syjygz6mu
A Survey on IoT Big Data Analytic Systems: Current and Future
2021
IEEE Internet of Things Journal
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We explore Hadoop-and Spark-based batch processing systems for spatio-temporal and trajectory data. We also review fog-and edge-aware stream processing systems. ...
IoT data, known as IoT big data. ...
Finally, ST-Hadoop is shipped with support for fundamental spatio-temporal queries: spatio-temporal range, kNN, and join queries. ...
doi:10.1109/jiot.2021.3131724
fatcat:cgvglkxiavdg3a6uv2zljl4ofm
Mobile Big Data Analytics: Research, Practice, and Opportunities
2014
2014 IEEE 15th International Conference on Mobile Data Management
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The rapid expansion of broadband mobile networks by Telecom Operators, has introduced a versatile global infrastructure that internally generates vast amounts of spatio-temporal network-level data (e.g ...
It will also identify and debate the key challenges and opportunities, in terms of applications, queries, architectures, to which the mobile data management and mobile data mining communities should contribute ...
Mobile telecoms have traditionally generated vast amounts of spatio-temporal mobile broadband data about their customers (e.g., user id, location, device type, etc.), but this data has been kept internal ...
doi:10.1109/mdm.2014.73
dblp:conf/mdm/Zeinalipour-YaztiK14
fatcat:6y5btbkx7nayjowaygrucfws6y
MAP-Vis: A Distributed Spatio-Temporal Big Data Visualization Framework Based on a Multi-Dimensional Aggregation Pyramid Model
2020
Applied Sciences
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Research has shown that the development of distributed computing frameworks provides a feasible solution for big spatio-temporal data management and visualization. ...
During the exploration and visualization of big spatio-temporal data, massive volume poses a number of challenges to the achievement of interactive visualization, including large memory consumption, high ...
Acknowledgments: The authors are grateful to the editor and reviewers for their careful and valuable suggestions.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/app10020598
fatcat:wmwsr2rfvvde3nyjt7oflvisji
Big Data Meets HPC Log Analytics: Scalable Approach to Understanding Systems at Extreme Scale
[article]
2017
arXiv
pre-print
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This paper introduces a HPC log data analytics framework that is based on a distributed NoSQL database technology, which provides scalability and high availability, and the Apache Spark framework for rapid ...
With rapid increases in the scale and complexity of HPC systems, log data processing is becoming a big data challenge. ...
Big Data Processing using the Frontend The big data processing unit intends to serve a wide range of users for intensive analytic processing. ...
arXiv:1708.06884v1
fatcat:4rfifckkizcyvf6v65vn5a7lhe
Stream-Mode FPGA Acceleration of Complex Pattern Trajectory Querying
[chapter]
2013
Lecture Notes in Computer Science
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In this paper, we present a study on FPGA-based architectures processing complex patterns on streams of spatio-temporal data. ...
Here we explore the challenges in handling several constructs of the assumed pattern query language, with a study on the trade-offs between expressiveness, scalability and matching accuracy. ...
In [3] , it is investigated the use of GPUs for the fast computation of proximity area views over streams of spatio-temporal data. ...
doi:10.1007/978-3-642-40235-7_12
fatcat:y5uvzddfibb33bvixkyig7bl34
Storing and Querying Large-Scale Spatio-Temporal Graphs with High-Throughput Edge Insertions
[article]
2020
arXiv
pre-print
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Real-world graphs often contain spatio-temporal information and evolve over time. ...
Compared with static graphs, spatio-temporal graphs have very different characteristics, presenting more significant challenges in data volume, data velocity, and query processing. ...
Spark accesses data in Cassandra for query processing, and saves the query results to HDFS. • ST-Hadoop+Spark (a big data system specially optimized for spatio-temporal data). ...
arXiv:1904.09610v2
fatcat:6ysnlkkc5vam7nwscdqdk52mdy
EAGLE—A Scalable Query Processing Engine for Linked Sensor Data
2019
Sensors
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In this article, we introduce EAGLE, a spatio–temporal query engine for querying sensor data based on the linked data model. ...
We also extend SPARQL with a set of new query operators in order to support spatio–temporal computing in the linked sensor data context. ...
This query required a heavy spatio-temporal computation on a large number of historical observation data items for a given year. ...
doi:10.3390/s19204362
fatcat:kfjbets2bbgc5iixqgbtfcaa7a
Trajectory Clustering and k-NN for Robust Privacy Preserving k-NN Query Processing in GeoSpark
2020
Algorithms
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To this end, we focused on trajectory data representation so as to be applicable to the GeoSpark environment, and a GeoSpark-based approach is designed for the efficient management of real spatio-temporal ...
It is believed that the advancing distributed environments will provide users with several solutions for efficient spatio-temporal data management. ...
However, in highly dynamic spatio-temporal applications, where the moving objects data varies frequently over time, a fundamental query is the so-called Continuous k-NN (CkNN) [6] . ...
doi:10.3390/a13080182
fatcat:cqqosen2fjc67ebizgmci4nsrq
ST-Diary
2015
Proceedings of the 8th ACM SIGSPATIAL International Workshop on Location-Based Social Networks - LBSN'15
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This work presents a crowdsourced geo-spatial multimedia data aggregation tool that allows users to develop diary chapters relevant to forthcoming users' spatio-temporal activities. ...
Our proposed solution provides users with the ability to add POIs through an authoring environment with multiple dimensions, such as spatio-temporal filters, multimedia categories, and event types. ...
Such multimedia diary can be a worthful tool for large crowds especially when participants perform important spatio-temporal activities. ...
doi:10.1145/2830657.2830664
dblp:conf/gis/AhmadAMRRSBW15
fatcat:ggxura44snh5xekszcrt7gfvom
Prospective Data Model and Distributed Query Processing for Mobile Sensing Data Streams
[chapter]
2020
Lecture Notes in Computer Science
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In this paper, we put forward a proposal that offers an abstract view of any spatio-temporal data series as well as their manipulation. ...
We explore an implementation within a distributed framework and envision the adaptation of data organization methods combining aggressive indexing and partitioning over time and space. ...
We need a platform that integrates a range of big data technologies to combine the processing of historical and real-time data. ...
doi:10.1007/978-3-030-38081-6_6
fatcat:lsgk352djne7vlsppexsd4ppa4
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