scholarly journals KT-Store: A Key-Order and Write-Order Hybrid Key-Value Store with High Write and Range-Query Performance

2018 ◽  
pp. 64-76
Author(s):  
Haobo Wang ◽  
Yinliang Yue ◽  
Shuibing He ◽  
Weiping Wang
Keyword(s):  
Range Query ◽  
Query Performance

A Novel Air Index for Range Queries in Road Networks

2017 ◽  
Vol 9 (2) ◽  
Author(s):  
M. Veeresha ◽  
M. Sugumaran
Keyword(s):  
Network Coding ◽  
Road Networks ◽  
Search Space ◽  
Range Query ◽  
Experimental Results ◽  
Cache Management ◽  
Range Queries ◽  
Query Performance ◽  
Air Index

Objective of the present work is to improve range query performance using Hybrid Spatial Air Index (HSAI). HSAI has been designed with combination of both cache management and network coding for processing range queries in road networks. HSAI has been utilized the advantage of both cache management and network coding and reduce client search space. The experiments have been conducted for evaluating performance, the experimental results show that HSAI outperform.

Range Query Processing in OLAP Skyline Cubes

2016 ◽  
Vol 136 (4) ◽  
pp. 576-587 ◽  
Author(s):  
Hideki Sato ◽  
Takayuki Usami
Keyword(s):  
Query Processing ◽  
Range Query ◽  
Range Query Processing

scholarly journals Accurate Range Query with Privacy Preservation for Outsourced Location-Based Service in IoT

2021 ◽  
pp. 1-1
Author(s):  
Zhaoman Liu ◽  
Lei Wu ◽  
Weizhi Meng ◽  
Hao Wang ◽  
Wei Wang
Keyword(s):  
Privacy Preservation ◽  
Range Query ◽  
Location Based Service

SOREL: Efficient and Secure ORE-based Range Query over Outsourced Data

2021 ◽  
pp. 1-1
Author(s):  
Songnian Zhang ◽  
Suprio Ray ◽  
Rongxing Lu
Keyword(s):  
Range Query ◽  
Outsourced Data

scholarly journals A Hybrid Approach Combining R*-Tree and k-d Trees to Improve Linked Open Data Query Performance

2021 ◽  
Vol 11 (5) ◽  
pp. 2405
Author(s):  
Yuxiang Sun ◽  
Tianyi Zhao ◽  
Seulgi Yoon ◽  
Yongju Lee
Keyword(s):  
Flash Memory ◽  
Query Language ◽  
Hybrid Approach ◽  
Open Data ◽  
Main Memory ◽  
Linked Open Data ◽  
Index Structure ◽  
Identification Algorithm ◽  
Distributed Computing Systems ◽  
Query Performance

Semantic Web has recently gained traction with the use of Linked Open Data (LOD) on the Web. Although numerous state-of-the-art methodologies, standards, and technologies are applicable to the LOD cloud, many issues persist. Because the LOD cloud is based on graph-based resource description framework (RDF) triples and the SPARQL query language, we cannot directly adopt traditional techniques employed for database management systems or distributed computing systems. This paper addresses how the LOD cloud can be efficiently organized, retrieved, and evaluated. We propose a novel hybrid approach that combines the index and live exploration approaches for improved LOD join query performance. Using a two-step index structure combining a disk-based 3D R*-tree with the extended multidimensional histogram and flash memory-based k-d trees, we can efficiently discover interlinked data distributed across multiple resources. Because this method rapidly prunes numerous false hits, the performance of join query processing is remarkably improved. We also propose a hot-cold segment identification algorithm to identify regions of high interest. The proposed method is compared with existing popular methods on real RDF datasets. Results indicate that our method outperforms the existing methods because it can quickly obtain target results by reducing unnecessary data scanning and reduce the amount of main memory required to load filtering results.

Location Privacy-Preserving Task Recommendation with Geometric Range Query in Mobile Crowdsensing

2021 ◽  
pp. 1-1
Author(s):  
Chuan Zhang ◽  
Liehuang Zhu ◽  
Chang Xu ◽  
Jianbing Ni ◽  
Cheng Huang ◽  
...  
Keyword(s):  
Location Privacy ◽  
Range Query ◽  
Privacy Preserving ◽  
Mobile Crowdsensing
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