Microservice-Based Platform for Space Situational Awareness Data Analytics

The development, deployment, and maintenance of the current space situational awareness (SSA) information system have become increasingly complex. However, researchers cannot flexibly and conveniently apply the research results to practical applications due to the lack of basic research platforms fo...

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Main Authors: Wanjie Lu, Qing Xu, Chaozhen Lan, Liang Lyu, Yang Zhou, Qunshan Shi, Yinghao Zhao
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:International Journal of Aerospace Engineering
Online Access:http://dx.doi.org/10.1155/2020/8149034
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author Wanjie Lu
Qing Xu
Chaozhen Lan
Liang Lyu
Yang Zhou
Qunshan Shi
Yinghao Zhao
author_facet Wanjie Lu
Qing Xu
Chaozhen Lan
Liang Lyu
Yang Zhou
Qunshan Shi
Yinghao Zhao
author_sort Wanjie Lu
collection DOAJ
description The development, deployment, and maintenance of the current space situational awareness (SSA) information system have become increasingly complex. However, researchers cannot flexibly and conveniently apply the research results to practical applications due to the lack of basic research platforms for SSA. Inspired by X as a Service (XaaS), we propose the microservice-based platform for SSA data analytics to provide a scaffold-like platform for researchers. Based on microservice, the architecture for this platform is proposed to meet the requirements of flexible development and loosely coupled deployment. To facilitate the use of the platform, the hybrid data service layer is established to provide basic data for research and the functional service layer is designed to provide services for clients and applications. Due to the massive data processing requirements, the data analysis architecture and processing model, which can easily integrate various user-defined algorithms and significantly improve the computational efficiency, are proposed based on the Lambda architecture. To verify the platform’s effectiveness, two cases are established and implemented. The results show that this platform can provide a convenient, flexible, and efficient platform for the requirements of algorithm integration, experiment, and data display from users and researchers.
format Article
id doaj-art-371193660e544922a351efec0a0ab5e6
institution Kabale University
issn 1687-5966
1687-5974
language English
publishDate 2020-01-01
publisher Wiley
record_format Article
series International Journal of Aerospace Engineering
spelling doaj-art-371193660e544922a351efec0a0ab5e62025-02-03T06:06:55ZengWileyInternational Journal of Aerospace Engineering1687-59661687-59742020-01-01202010.1155/2020/81490348149034Microservice-Based Platform for Space Situational Awareness Data AnalyticsWanjie Lu0Qing Xu1Chaozhen Lan2Liang Lyu3Yang Zhou4Qunshan Shi5Yinghao Zhao6Information Engineering University, Zhengzhou 450052, ChinaInformation Engineering University, Zhengzhou 450052, ChinaInformation Engineering University, Zhengzhou 450052, ChinaInformation Engineering University, Zhengzhou 450052, ChinaInformation Engineering University, Zhengzhou 450052, ChinaInformation Engineering University, Zhengzhou 450052, ChinaInformation Engineering University, Zhengzhou 450052, ChinaThe development, deployment, and maintenance of the current space situational awareness (SSA) information system have become increasingly complex. However, researchers cannot flexibly and conveniently apply the research results to practical applications due to the lack of basic research platforms for SSA. Inspired by X as a Service (XaaS), we propose the microservice-based platform for SSA data analytics to provide a scaffold-like platform for researchers. Based on microservice, the architecture for this platform is proposed to meet the requirements of flexible development and loosely coupled deployment. To facilitate the use of the platform, the hybrid data service layer is established to provide basic data for research and the functional service layer is designed to provide services for clients and applications. Due to the massive data processing requirements, the data analysis architecture and processing model, which can easily integrate various user-defined algorithms and significantly improve the computational efficiency, are proposed based on the Lambda architecture. To verify the platform’s effectiveness, two cases are established and implemented. The results show that this platform can provide a convenient, flexible, and efficient platform for the requirements of algorithm integration, experiment, and data display from users and researchers.http://dx.doi.org/10.1155/2020/8149034
spellingShingle Wanjie Lu
Qing Xu
Chaozhen Lan
Liang Lyu
Yang Zhou
Qunshan Shi
Yinghao Zhao
Microservice-Based Platform for Space Situational Awareness Data Analytics
International Journal of Aerospace Engineering
title Microservice-Based Platform for Space Situational Awareness Data Analytics
title_full Microservice-Based Platform for Space Situational Awareness Data Analytics
title_fullStr Microservice-Based Platform for Space Situational Awareness Data Analytics
title_full_unstemmed Microservice-Based Platform for Space Situational Awareness Data Analytics
title_short Microservice-Based Platform for Space Situational Awareness Data Analytics
title_sort microservice based platform for space situational awareness data analytics
url http://dx.doi.org/10.1155/2020/8149034
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AT lianglyu microservicebasedplatformforspacesituationalawarenessdataanalytics
AT yangzhou microservicebasedplatformforspacesituationalawarenessdataanalytics
AT qunshanshi microservicebasedplatformforspacesituationalawarenessdataanalytics
AT yinghaozhao microservicebasedplatformforspacesituationalawarenessdataanalytics