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LEARNING-BASED HIGH-THROUGHPUT DISPATCHING FOR TRAJECTORY STREAMS
2015
Services Transactions on Cloud Computing
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This paper focuses on the scalability challenges for analyzing large-volume mobile data streams, as mobile data streams convey valuable spatio-temporal information (termed as trajectory or semantic trajectory ...
By taking the spatial connectivity implied by trajectory streams into consideration, a trajectory preserving partitioning method is proposed for improving the quality of geo-partitioning. ...
The mobility preserved geo-partitioning service associates the trajectory data with map and mines the optimal geo-area boundaries. ...
doi:10.29268/stcc.2015.3.1.3
fatcat:pxuechmepfdsjak4e6jsbyj7ge
LEARNING-BASED HIGH-THROUGHPUT DISPATCHING FOR TRAJECTORY STREAMS
2015
Services Transactions on Cloud Computing
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This paper focuses on the scalability challenges for analyzing large-volume mobile data streams, as mobile data streams convey valuable spatio-temporal information (termed as trajectory or semantic trajectory ...
By taking the spatial connectivity implied by trajectory streams into consideration, a trajectory preserving partitioning method is proposed for improving the quality of geo-partitioning. ...
Framework for Scalable Mobile Data StreamsProcessing.
Figure 3 . 3 Figure 3. Component Diagram of Trajectory Preserving Partitioning. ...
doi:10.29268/stcc.2015.0003
fatcat:myiktbvmcvhida2yunvcy66e5y
Real-time streaming mobility analytics
2013
2013 IEEE International Conference on Big Data
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In this paper we deploy distributed streaming algorithms and infrastructures to process large scale mobility data for fast reaction time prediction. ...
We evaluate our methods on a data set derived from the Orange D4D Challenge data representing sample traces of Ivory Coast mobile phone users. ...
ACKNOWLEDGMENT Among several colleagues who draw our attention to the scalability issues of mobility data and inspired our research, we are especially grateful, in alphabetic order, to Tamas Bodis (Vodafone ...
doi:10.1109/bigdata.2013.6691639
dblp:conf/bigdataconf/GarzoBSTW13
fatcat:tm62xe56lnfo3frg2gtmrgr6a4
ICDE conference 2015 detailed author index
2015
2015 IEEE 31st International Conference on Data Engineering
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Making Sense of Trajectory Data: A Partition-and-Summarization Approach 975 Approximate Keyword Search in Semantic Trajectory Database Zhou, Yongluan 795 Scalable SPARQL Querying Using Path Partitioning ...
Time Series Data with Max-Error
Guarantees
Luo, Jun
1376
Growing the Charging Station Network for Electric Vehicles with Trajectory Data
Analytics
Luo, Ping
891
Online Frequent Episode Mining ...
doi:10.1109/icde.2015.7113260
fatcat:ep7pomkm55f45j33tkpoc5asim
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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With the rapid development of mobile Internet, location services and other technologies and the popularization of mobile devices, e.g., traffic trajectories [2], social media [3], remote sensing image ...
With the widespread use of mobile and sensing devices, and the popularity of online map-based services, such as navigation services, the volume of spatio-temporal data is growing rapidly. ...
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
Enabling Location-Based Services 2.0: Challenges and Opportunities
2014
2014 IEEE 15th International Conference on Mobile Data Management
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We present the challenges and opportunities that LBS . will pose for mobile data management. ...
Future location-based applications/services will use the data generated by the new mobile devices for providing enhanced user experience. is paper presents a vision of such next-generation location-based ...
., "Trajectory Clustering: A partition-and-group framework, " in SIGMOD, , pp. -. [ ] M. ...
doi:10.1109/mdm.2014.45
dblp:conf/mdm/SatheMBK14
fatcat:23via46c2zb65ixrrb7lznqqrm
Prospective Data Model and Distributed Query Processing for Mobile Sensing Data Streams
[chapter]
2020
Lecture Notes in Computer Science
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With the rapid advancements of sensor technologies and mobile computing, Mobile Crowd-Sensing (MCS) has emerged as a new paradigm to collect massive-scale rich trajectory data. ...
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. ...
It builds a time series aware data structure (TimeSeriesRDD) that allows to associate a time range to each partition and preserves the temporal order of data. ...
doi:10.1007/978-3-030-38081-6_6
fatcat:lsgk352djne7vlsppexsd4ppa4
2020 Index IEEE Transactions on Knowledge and Data Engineering Vol. 32
2021
IEEE Transactions on Knowledge and Data Engineering
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., +, TKDE Dec. 2020 2351-2362
Scalable Multiway Stream Joins in Hardware. ...
., +, TKDE March 2020 588-601 Microsoft Windows Scalable Multiway Stream Joins in Hardware. ...
doi:10.1109/tkde.2020.3038549
fatcat:75f5fmdrpjcwrasjylewyivtmu
Mobile media communication, processing, and analysis: A review of recent advances
2013
2013 IEEE International Symposium on Circuits and Systems (ISCAS2013)
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To identify the opportunities and challenges in fast growing mobile media computing, we discuss several emerging topics including mobile visual search, retargeting, mobile video streaming, and cloud based ...
According to the infrastructure of mobile devices vs. servers, we come up with essential concerns in mobile media computing such as wireless bandwidth consumption, mobile energy saving, media adaptation ...
To address the challenging issues in mobile streaming, scalable Video Coding (SVC) [31] has provided a workable solution. ...
doi:10.1109/iscas.2013.6571985
dblp:conf/iscas/GaoD0YWTCK13
fatcat:mhnjsvlrfvdr3nchgkqhk4i4zi
TrajParquet: A Trajectory-Oriented Column File Format for Mobility Data Lakes
2023
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems
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In this paper, we propose TrajParquet, a format for columnar storage of trajectory data, which is highly efficient and scalable. ...
We evaluate TrajParquet using real-world data sets and in comparison with extensions of GeoParquet and SpatialParquet, suitable for handling spatio-temporal data. ...
This is particularly evident in domains that handle big and complex data, such as scientific, social, and mobility data. ...
doi:10.1145/3589132.3625623
fatcat:qullipmb6jf4tnsqqaisubzfxy
Scalable selective traffic congestion notification
2015
Proceedings of the 4th ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems - MobiGIS '15
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horizon and spatio-temporal resolution and (ii) can in real-time process 1.14 million object trajectories. ...
A simple but efficient SQL-based prototype implementation of the system that can naturally be ported to Big Data processing frameworks is also explained in detail. ...
The provision of trajectory preprocessing utilities is gratefully acknowledged to Christian Borgelt. Helpful comments on this work are also acknowledged to Adrian C. Prelipcean and Can Yang. ...
doi:10.1145/2834126.2834134
dblp:conf/gis/Gidofalvi15
fatcat:x27bvgmmtjag5otimyyhgf5ptm
No Tradeoff between Confidentiality and Performance: An Analysis on H.264/SVC Partial Encryption
[chapter]
2012
Lecture Notes in Computer Science
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Partial encryption is often used as a tradeoff between security and performance to protect scalable video data. ...
We conduct experiments to show that partially encrypted H.264/SVC (scalable video coding) streams leak significant content information from the enhancement layers in all three scalability dimensions. ...
Review on Partial Encryption Partial encryption is to preserve multimedia property (e.g., format-compliance, scalability) by treating different data in a multimedia stream differently according to their ...
doi:10.1007/978-3-642-32805-3_6
fatcat:gwcokreftvgffj5sjbbcahdrda
Increasing Maritime Situation Awareness via Trajectory Detection, Enrichment and Recognition of Events
[chapter]
2018
Lecture Notes in Computer Science
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Hence, this derived stream of trajectory synopses can keep in pace with the incoming raw streaming data. ...
, and enriching the data stream with contextual information for further analysis. ...
doi:10.1007/978-3-319-90053-7_13
fatcat:mwpj6jpozfdmxmtbde3t3qqknq
A Survey on Trajectory Big Data Processing
2018
International Journal of Performability Engineering
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Rapid advancements of location-based information provided by publicly available GPS-enabled mobiles devices boost the generation of massive trajectory data. ...
As the massive trajectory data processing exceeds the power of centralized approaches used previously, in this paper, we survey various existing tools used to process large-scale trajectory data in a distributed ...
Moreover, the spatial query that should be adopted can be mapped into partition based query processing framework, preserving the correct query semantics. ...
doi:10.23940/ijpe.18.02.p13.320333
fatcat:m74w3cfajrbzpamzpghfyrm6am
Segmentation techniques for the summarization of individual mobility data
2017
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
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This survey focuses on the use of segmentation methods for extracting behavioral information from individual mobility data, in particular from spatial trajectories. ...
Segmentation techniques partition a sequence of data points in a series of disjoint sub-sequences -segments -based on some criteria. ...
(ii) Data streams are unbounded sequences of data of arbitrary type. The clustering task groups the data points as they arrive, under the memory constraints imposed by the data streaming context. ...
doi:10.1002/widm.1214
fatcat:4jgua5vjangzdjgvkli7zxzk4a
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