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Distributed Query Processing on the Web [PDF]

open access: yesProceedings of 16th International Conference on Data Engineering (Cat. No.00CB37073), 2005
CurrentWeb querying systems are based on a "data shipping" mode wherein data is downloaded from remote sites to the user-site, queries are processed locally against these documents, and then further data is downloaded from the network based on these results.
Gupta, Nalin   +2 more
openaire   +2 more sources

Research on Join Operation of Temporal Big Data in Distributed Environment [PDF]

open access: yesJisuanji 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
doaj   +1 more source

A VOMR-TREE BASED PARALLEL RANGE QUERY METHOD ON DISTRIBUTED SPATIAL DATABASE [PDF]

open access: yesISPRS 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
doaj   +1 more source

Mass data processing and multidimensional database management based on deep learning

open access: yesOpen Computer Science, 2022
With the rapid development of the Internet of Things, the requirements for massive data processing technology are getting higher and higher. Traditional computer data processing capabilities can no longer deliver fast, simple, and efficient data analysis
Shen Haijie   +7 more
doaj   +1 more source

A PID-Based kNN Query Processing Algorithm for Spatial Data

open access: yesSensors, 2022
As a popular spatial operation, the k-Nearest Neighbors (kNN) query is widely used in various spatial application systems. How to efficiently process a kNN query on spatial big data has always been an important research topic in the field of spatial data
Baiyou Qiao   +3 more
doaj   +1 more source

Distributed Processing of Location-Based Aggregate Queries Using MapReduce

open access: yesISPRS International Journal of Geo-Information, 2019
The location-based aggregate queries, consisting of the shortest average distance query (SAvgDQ), the shortest minimal distance query (SMinDQ), the shortest maximal distance query (SMaxDQ), and the shortest sum distance query (SSumDQ) are new types of ...
Yuan-Ko Huang
doaj   +1 more source

Distributed Query Plan Generation Using Multiobjective Genetic Algorithm

open access: yesThe Scientific World Journal, 2014
A distributed query processing strategy, which is a key performance determinant in accessing distributed databases, aims to minimize the total query processing cost.
Shina Panicker, T. V. Vijay Kumar
doaj   +1 more source

MSP: Multiple Sub-graph Query Processing using Structure-based Graph Partitioning Strategy and Map-Reduce

open access: yesJournal of King Saud University: Computer and Information Sciences, 2019
In a distributed environment, the volume of graph database increases quickly because graphs emerge from several autonomous sources. Sub-graph query processing is a challenging problem in distributed environment.
Shaik Fathimabi   +2 more
doaj   +1 more source

DISPAQ: Distributed Profitable-Area Query from Big Taxi Trip Data

open access: yesSensors, 2017
One of the crucial problems for taxi drivers is to efficiently locate passengers in order to increase profits. The rapid advancement and ubiquitous penetration of Internet of Things (IoT) technology into transportation industries enables us to provide ...
Fadhilah Kurnia Putri   +3 more
doaj   +1 more source

QIACO: A Quantum Dynamic Cost Ant System for Query Optimization in Distributed Database

open access: yesIEEE Access, 2021
Query optimization is considered as the most significant part in a model of distributed database. The optimizer tries to find an optimal join order, which reduces the query execution cost. Several factors may affect the cost of query execution, including
Sayed A. Mohsin   +2 more
doaj   +1 more source

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