An Efficient Distributed SPARQL Query Processing Scheme Considering Communication Costs in Spark Environments [PDF]
Applied Sciences, 2021 Various distributed processing schemes were studied to efficiently utilize a large scale of RDF graph in semantic web services. This paper proposes a new distributed SPARQL query processing scheme considering communication costs in Spark environments to ...
Jongtae Lim +5 more
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A Distributed Query Processing Engine [PDF]
, 2003 Wireless sensor networks (WSNs) are formed of tiny, highly energy-constrained sensor nodes that are equipped with wireless transceivers. They may be mobile and are usually deployed in large numbers in unfamiliar environments. The nodes communicate with one another by autonomously creating ad-hoc networks which are subsequently used to gather sensor ...
Chatterjea, Supriyo, Havinga, Paul J.M.
openaire +4 more sources
An Effective Framework for Distributed Geospatial Query Processing in Grids
Advances in Electrical and Computer Engineering, 2010 The emergence of Internet has greatly revolutionized the way that geospatial information is collected, managed, processed and integrated. There are several important research issues to be addressed for distributed geospatial applications.
Zhou Huang +3 more
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Query Optimization for Distributed Spatio-Temporal Sensing Data Processing
Sensors, 2022 The unprecedented development of Internet of Things (IoT) technology produces humongous amounts of spatio-temporal sensing data with various geometry types.
Xin Li +3 more
doaj +1 more source
Efficient Group K Nearest-Neighbor Spatial Query Processing in Apache Spark
ISPRS International Journal of Geo-Information, 2021 Aiming at the problem of spatial query processing in distributed computing systems, the design and implementation of new distributed spatial query algorithms is a current challenge.
Panagiotis Moutafis +3 more
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A technique for parallel query optimization using MapReduce framework and a semantic-based clustering method [PDF]
PeerJ Computer Science, 2021 Query optimization is the process of identifying the best Query Execution Plan (QEP). The query optimizer produces a close to optimal QEP for the given queries based on the minimum resource usage.
Elham Azhir +4 more
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LocationSpark: In-memory Distributed Spatial Query Processing and Optimization
Frontiers in Big Data, 2020 Due to the ubiquity of spatial data applications and the large amounts of spatial data that these applications generate and process, there is a pressing need for scalable spatial query processing.
Mingjie Tang +5 more
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Research on Dynamic Data Partition of Database Management System in Distributed Information Network [PDF]
Jisuanji gongcheng, 2017 For database management system in distributed information network,whether data is partitioned reasonably affects not only load balancing of the system but also the communication overhead between nodes.Aiming at this problem,this paper proposes a query ...
MA Yang,LIU Mengchi
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Research on Join Operation of Temporal Big Data in Distributed Environment [PDF]
Jisuanji gongcheng, 2019 Distributed system is an ideal choice for processing temporal large data join operation,but the existing distributed system cannot support the original temporal join query and cannot meet the processing requirements of temporal large data with low ...
ZHANG Wei,WANG Zhijie
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A VOMR-TREE BASED PARALLEL RANGE QUERY METHOD ON DISTRIBUTED SPATIAL DATABASE [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Spatial index impacts upon the efficiency of spatial query seriously in distributed spatial database. In this paper, we introduce a parallel spatial range query algorithm, based on VoMR-tree index, which incorporates Voronoi diagrams into MR-tree ...
Z. Fu, Z. Fu, S. Liu
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