An Architecture for Cost Optimization in the Processing of Big Geospatial Data in Public Cloud Providers

被引：2

作者：

Bachiega Junior, Joao ^{[1
]}

Sousa Reis, Marco Antonio ^{[1
]}

Holanda, Maristela ^{[1
]}

Araujo, Aleteia P. F. ^{[1
]}

机构：

[1] Univ Brasilia, Dept Comp Sci, Brasilia, DF, Brazil

来源：

2018 IEEE INTERNATIONAL CONGRESS ON BIG DATA (IEEE BIGDATA CONGRESS) | 2018年

关键词：

Spatial Data; Big Geospatial Data; Cost Analysis; Public Cloud; Cloud Computing;

D O I：

10.1109/BigDataCongress.2018.00032

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Cloud computing is a suitable platform for running applications to process big data. Currently, with the increase in the volume of geographic and spatial data volume, conceptualized as Big Geospatial Data, a variety of tools have been developed to efficiently process this data. The index applied to the dataset is an important aspect. This paper presents an architecture, supported by a Knownlegde Base and an Inference Engine, to process big geospatial data in public cloud providers with the ultimate goal of optimizing costs. The tests executed demonstrated that the rules created are capable of optimizing the total costs for processing large geospatial data up to 71%.

引用

页码：190 / 197

页数：8

共 50 条

[41] Parallel Processing Strategies for Geospatial Data in a Cloud Computing Infrastructure
Kempeneers, Pieter
Kliment, Tomas
Marletta, Luca
Soille, Pierre
[J]. REMOTE SENSING, 2022, 14 (02)
[42] A Virtual Network Performance Optimization Strategy for Cloud-based Big Data Processing
Pan Lulu
[J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ADVANCES IN MECHANICAL ENGINEERING AND INDUSTRIAL INFORMATICS, 2015, 15 : 1538 - 1541
[43] End-Edge-Cloud Collaborative System: A Video Big Data Processing and Analysis Architecture
Xing, Peiyin
Wang, Yaowei
Peng, Peixi
Tian, Yonghong
Huang, Tiejun
[J]. THIRD INTERNATIONAL CONFERENCE ON MULTIMEDIA INFORMATION PROCESSING AND RETRIEVAL (MIPR 2020), 2020, : 233 - 236
[44] Revisiting spatial optimization in the era of geospatial big data and GeoAI
Cao, Kai
Zhou, Chenghu
Church, Richard
Li, Xia
Li, Wenwen
[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2024, 129
[45] A reference architecture for serverless big data processing
Werner, Sebastian
Tai, Stefan
[J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2024, 155 : 179 - 192
[46] A Cloud Service Architecture for Analyzing Big Monitoring Data
Samneet Singh
Yan Liu
[J]. Tsinghua Science and Technology, 2016, 21 (01) : 55 - 70
[47] ArchaDIA: An Architecture for Big Data as a Service in Private Cloud
de Sousa Reis, Marco Antonio
Favacho de Araujo, Aleteia Patricia
[J]. CLOSER: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND SERVICES SCIENCE, 2019, : 187 - 197
[48] A Crowd-Cloud Architecture for Big Data Analytics
Mehta, Varun
Shaikh, Zoheb
Kaza, Kesav
Mustafa, H. D.
Merchant, S. N.
[J]. 2016 TWENTY SECOND NATIONAL CONFERENCE ON COMMUNICATION (NCC), 2016,
[49] A System Architecture for Running Big Data Workflows in the Cloud
Kashlev, Andrey
Lu, Shiyong
[J]. 2014 IEEE INTERNATIONAL CONFERENCE ON SERVICES COMPUTING (SCC 2014), 2014, : 51 - 58
[50] A Cloud Service Architecture for Analyzing Big Monitoring Data
Singh, Samneet
Liu, Yan
[J]. TSINGHUA SCIENCE AND TECHNOLOGY, 2016, 21 (01) : 55 - 70

← 1 2 3 4 5 →