A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Filters
Parallel Processing of Sensor Network Data Using Column-oriented Databases
2013
AASRI Procedia
Preserved Fulltext
The performance analysis shows that the proposed algorithm outperforms join algorithms for sensor data that are based on relational databases. ...
First, unlike relational databases, only relevant columns are shipped to the join region for final join processing. Second, parallel join processing of sensor data also improves performance. ...
A join algorithm based on column-oriented database was proposed to perform join processing of data in sensor networks [7] . ...
doi:10.1016/j.aasri.2013.10.051
fatcat:tliavm5qzjaf7joltp6jzzceea
Effective Spatial Data Partitioning for Scalable Query Processing
[article]
2015
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The main objective of our work is to provide a comprehensive guidance for optimal spatial data partitioning to support scalable and fast spatial data processing in massively parallel data processing frameworks ...
The algorithms developed in this work are open source and can be easily integrated into different high performance spatial data processing systems. ...
We are also grateful for the support from Amazon AWS in Education, Pitney Bowes, and Google Summer of Code. ...
arXiv:1509.00910v1
fatcat:rjrv4spanrec7eernjnhoy2tki
Feasibility Study of Geo-spatial Analysis Using Grid Computing
[chapter]
2004
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
To do network analysis and spatial statistical analysis on Grid platform could be no significant improvement of performance. ...
In this paper, we tested and analyzed the feasibility of using Grid platform for spatial analysis functionalities in Geographic Information System (GIS). ...
This publication is an output from the research projects "CAS Hundred Talents Program", "Digital Earth" (KZCX2-312) funded by Chinese Academy of Sciences and "Dynamic Monitoring of Beijing Olympic Environment ...
doi:10.1007/978-3-540-25944-2_123
fatcat:nn5j3wu5ijgmncu5o3hg54gf7m
High performance spatial query processing for large scale scientific data
2012
Proceedings of the on SIGMOD/PODS 2012 PhD Symposium - PhD '12
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2012; you can also visit the original URL.
The file type is application/pdf.
, a query translator which automates translation of the spatial queries into MapReduce programs and an execution engine which parallelizes and executes queries on Hadoop. ...
However, the vast amount of spatially oriented morphological information poses major challenges for analytical medical imaging. ...
query translator which can automate translation of spatial queries into parallel executable programs. ...
doi:10.1145/2213598.2213603
dblp:conf/sigmod/AjiW12
fatcat:ny6qktwfkrgspmrqq273xkzz3y
Service ORiented Computing EnviRonment (SORCER) for deterministic global and stochastic aircraft design optimization: part 1
2017
Advances in aircraft and spacecraft science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
With rapid growth in the complexity of large scale engineering systems, the application of multidisciplinary analysis and design optimization (MDO) in the engineering design process has garnered much attention ...
Jones" algorithm DIRECT, is a highly parallelizable derivative-free deterministic global optimization algorithm. QNSTOP is a parallel quasi-Newton algorithm for stochastic optimization problems. ...
The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of Air ...
doi:10.12989/aas.2017.4.3.297
fatcat:nguhiftnrbfercluhs5f262j7e
Page 2848 of Mathematical Reviews Vol. , Issue 94e
[page]
1994
Mathematical Reviews
Preserved Fulltext
The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
optimization of object-oriented query languages. ...
The lack of a generally accepted object-oriented data model and the trend towards extensible systems demand an extensible framework for object-oriented query optimization. ...
An Effective Data Placement Strategy for XML Documents
[chapter]
2001
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Performance analysis on the algorithm presented in the paper shows that the new data placement strategy exhibits low workload skew and a high degree of parallelism. ...
Parallelism is a promising solution for structured document processing and data placement is a major factor for system performance improvement in parallel processing. ...
In parallel object-oriented database systems, data placement strategy is also critical to the system performance and is far more complex. ...
doi:10.1007/3-540-45754-2_4
fatcat:ss2fbks5vrd7vaxseg6lnjzzha
GeoComputation 2009
[chapter]
2009
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2011; you can also visit the original URL.
The file type is application/pdf.
The tremendous computing requirements of today's algorithms and the high costs of high-performance supercomputers drive us to share computing resources. ...
Image resampling, which is frequently used in remote sensing processing procedures, is a time-consuming task. Parallel computing is an effective way to speed up ...
Parallel computing is an effective way to speed up this processing; however, recent parallel image resampling algorithms with massive time-consuming global processes like I/O, always lead to low efficiency ...
doi:10.1007/978-3-642-01973-9_38
fatcat:tafxqi442vhqhj2uiw44gidtdm
High performance spatial queries for spatial big data
2015
SIGSPATIAL Special
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Hadoop-GIS supports multiple types of spatial queries on MapReduce through skew-aware spatial partitioning, on-demand indexing, customizable spatial query engine RESQUE, implicit parallel spatial query ...
Support of high performance queries on large volumes of spatial data has become increasingly important in many application domains, including geospatial problems in numerous disciplines, location based ...
For K-nearest neighbors search, Hadoop-GIS provides two algorithms for an application scenario where the query is processed over a set of query objects and the cardinality of one set of objects is much ...
doi:10.1145/2766196.2766199
fatcat:esmpfrnt6bc35pqcmh2g66jfdm
CIM/E Oriented Graph Database Model Architecture and Parallel Network Topology Processing
[article]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Based on this model, the parallel network topology processing algorithm is established and conducted by applying graph computation. ...
With the rapid growth of data size and system complexity, the traditional relational database is not the best option to store and process the data. ...
Algorithm A: CIM/E oriented Parallel Substation Topology Processing while (all bus bar vertices are not processed) Start from bus bar vertices of all substations (one bus bar per substation) while (all ...
arXiv:1803.05935v1
fatcat:d374qayjknfavg5mzsme7oeq4m
SharkDB: an in-memory column-oriented storage for trajectory analysis
2017
World wide web (Bussum)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Motivated by the success of column store and recent development of inmemory databases, we try to explore the potential opportunities of boosting the performance of trajectory data processing by designing ...
The last decade has witnessed the prevalence of sensor and GPS technologies that produce a high volume of trajectory data representing the motion history of moving objects. ...
But, when the duration of query time is increasing, the power of parallel processing starts to release, as we can see, the performance of multi-thread MBR-KMP algorithm is stable. ...
doi:10.1007/s11280-017-0466-9
fatcat:jbj6u6a56vdwxkzbxsddggkx3m
Design of a Hardware Accelerator for Fingerprint Alignment
2007
2007 International Conference on Field Programmable Logic and Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The hardware processor permits to speed up the alignment phase and to reach real-time performance, which is not guaranteed when developing the same algorithm under a purely-software platform. ...
Most of the difficulties rely on the complexity and the high computational power needed to develop a fingerprint matching algorithm reliable enough to guarantee the accuracy of the result even when only ...
With these wide read data buses the developed system takes advantage of the parallel processing power available in the FPGA. ...
doi:10.1109/fpl.2007.4380695
dblp:conf/fpl/FonsFCL07
fatcat:bi3fhmi6avgwbm6gyj7twkia3i
A Survey on Trajectory Big Data Processing
2018
International Journal of Performability Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Furthermore, this paper reviews an extensive collection of existing applications of movement objects, including trajectory data mining and frequent trajectory. ...
Recently, numerous researchers have addressed many problems regarding trajectory data, which is based on storage and queries processing. ...
Heilongjiang Providence LC2016026 and MOE-Microsoft Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology. ...
doi:10.23940/ijpe.18.02.p13.320333
fatcat:m74w3cfajrbzpamzpghfyrm6am
Editorial: enabling technologies for programming extreme scale systems
2012
Journal of Supercomputing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
This special issue is intended to foster stateof-the-art research in the area of extreme scale parallel systems including the topics of parallel algorithm design, data flow analysis, virtualization, energy ...
Multi-core architecture presents a new trend, and core-based parallel processing algorithms will continue to become more important. ...
for monitoring continuous queries by leveraging the parallel processing capability of the Graphics Processing Unit. ...
doi:10.1007/s11227-012-0745-2
fatcat:w74ggqhcibc27llbaq4nqe3oiq
HiBuffer: Buffer Analysis of 10-Million-Scale Spatial Data in Real Time
2018
ISPRS International Journal of Geo-Information
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Moreover, a fully optimized hybrid parallel processing architecture is proposed for the real-time buffer analysis of large-scale spatial data. ...
The parallel scalability of HiBuffer was also tested, showing that HiBuffer achieves high performance of parallel acceleration. ...
Fan [6] proposed a parallel buffer algorithm based on area merging to improve the performance of buffer analysis on processing large datasets. ...
doi:10.3390/ijgi7120467
fatcat:ucuuq5zah5axvkv6uctddt43ji
« Previous
Showing results 1 — 15 out of 39,320 results