DOI QR코드

DOI QR Code

A Performance Evaluation of the e-Gov Standard Framework on PaaS Cloud Computing Environment: A Geo-based Image Processing Case

PaaS 클라우드 컴퓨팅 환경에서 전자정부 표준프레임워크 성능평가: 공간영상 정보처리 사례

  • KIM, Kwang-Seob (Dept. of Electronics and Information Engineering, Hansung University) ;
  • LEE, Ki-Won (Dept. of Electronics and Information Engineering, Hansung University)
  • 김광섭 (한성대학교 전자정보공학과) ;
  • 이기원 (한성대학교 전자정보공학과)
  • Received : 2018.08.13
  • Accepted : 2018.10.23
  • Published : 2018.12.31

Abstract

Both Platform as a Service (PaaS) as one of the cloud computing service models and the e-government (e-Gov) standard framework from the Ministry of the Interior and Safety (MOIS) provide developers with practical computing environments to build their applications in every web-based services. Web application developers in the geo-spatial information field can utilize and deploy many middleware software or common functions provided by either the cloud-based service or the e-Gov standard framework. However, there are few studies for their applicability and performance in the field of actual geo-spatial information application yet. Therefore, the motivation of this study was to investigate the relevance of these technologies or platform. The applicability of these computing environments and the performance evaluation were performed after a test application deployment of the spatial image processing case service using Web Processing Service (WPS) 2.0 on the e-Gov standard framework. This system was a test service supported by a cloud environment of Cloud Foundry, one of open source PaaS cloud platforms. Using these components, the performance of the test system in two cases of 300 and 500 threads was assessed through a comparison test with two kinds of service: a service case for only the PaaS and that on the e-Gov on the PaaS. The performance measurements were based on the recording of response time with respect to users' requests during 3,600 seconds. According to the experimental results, all the test cases of the e-Gov on PaaS considered showed a greater performance. It is expected that the e-Gov standard framework on the PaaS cloud would be important factors to build the web-based spatial information service, especially in public sectors.

클라우드 컴퓨팅 서비스 모델 중 하나인 PaaS(Platform as a Service)와 행정안전부 전자정부 표준프레임워크는 모두 웹 서비스 개발자가 개발 목적을 만족하는 핵심 기능 개발에 집중할 수 있도록 기본 공통자원을 제공하기 위한 컴퓨팅 환경이다. 웹 기반 공간정보 서비스를 구축하는 경우에도 이러한 기술들을 사용하면 미들웨어 소프트웨어 또는 플랫폼 공통 기능들을 바로 활용할 수 있다. 그러나 공간정보 서비스 개발 분야에서 이러한 기반 기술들의 적용 가능성을 검토하거나 적용 시스템의 성능을 평가한 연구는 아직 발표된 사례가 없다. 따라서 이번 연구에서는 공간정보 서비스에 대한 적용 가능성을 살펴보고자 성능평가 실험을 수행하였다. 실험 대상 시스템은 OGC WPS 2.0 표준을 적용한 공간영상 정보처리 서비스를 대상으로 하였다. 실험 시스템은 Cloud Foundry 오픈소스를 이용한 PaaS 환경을 구축한 뒤 전자정부 표준프레임워크를 적용한 웹 서비스로 설계, 구축하였다. 실제 성능 평가실험은 영상처리 기능을 PaaS 클라우드 환경에서 구동하는 경우와 PaaS에 전자정부 표준프레임워크를 같이 적용한 경우를 비교하는 방식으로 수행하였다. 실험 조건은 300명과 500명에 해당하는 동시 사용자가 3,600초 동안 이 시스템에 접속하여 정보처리를 요청하고 실험 환경으로 구축한 웹 서비스가 이에 대하여 응답하는 시간을 기록하는 방식으로 하였다. 성능 측정 결과 PaaS 클라우드 환경에서 전자정부 표준프레임워크를 기반으로 시스템 구축하였을 때 성능이 우수한 것을 확인할 수 있었다. 앞으로 공공 부분의 웹 기반 공간정보 응용 서비스 구축에서 PaaS 클라우드 컴퓨팅과 전자정부 표준프레임워크가 중요한 요소가 될 것으로 기대한다.

Keywords

References

  1. Chu, H.C., 2011. An Empirical study of framework for electronic government, Soongsil University, Korea.
  2. Dash, S. and S. K. Pani, 2016. E- Governance paradigm using cloud infrastructure: benefits and challenges, Proceeding of 2016 International Conference on Computational Modeling and Security, Bengaluru, India, Feb. 11-13, 85:843-855.
  3. Huang, W., W. Zhang and D. Zhang, 2017. Elastic spatial query processing in OpenStack cloud computing environment for time-constraint data analysis, ISPRS International Journal of Geo-Information 6(3):84. https://doi.org/10.3390/ijgi6030084
  4. Jang, I., 2018. Development of a learning management system based on eGovFrame framework, Chonnam National University, Korea.
  5. Jung, B.K., Z. Shin, M. Oh, H. Kwon, J.S. Ma, Y.W. Kim and H.Y. Kim, 2017. Verification test of cloud PaaS PaaS-TA on micro server, Proc. of 2017 Conference on The Institute of Electronics and Information Engineers, Inchon, Korea, Nov. 24-25, 938-941.
  6. Kang, S.G. and K.W. Lee, 2013. Testing implementation of remote sensing image analysis processing service on OpenStack of open source cloud platform, Journal of the Korean Association of Geographic Information Studies 16(4):141-152. https://doi.org/10.11108/kagis.2013.16.4.141
  7. Kim, C.J., 2013. A Integration research of cloud component based on PaaS for enhancing software reusabiliy, Journal of the Korea Academia-Industrial Cooperation Society 14(2):868-877. https://doi.org/10.5762/KAIS.2013.14.2.868
  8. Kim, N.H., 2012. A Study on the method for improving efficiency of e-Government standard framework based on master data, Paichai University, Korea
  9. Kim, K.S. and K.W. Lee, 2017. Linkage based of geo-based processing service and Open PaaS cloud, Journal of the Korean Association of Geographic Information Studies 20(4):24-38. https://doi.org/10.11108/KAGIS.2017.20.4.024
  10. Lee, K. and S. Kang, 2015. Evaluation of geo-based image fusion on mobile cloud environment using histogram similarity analysis, Korean Journal of Remote Sensing 31(1):1-9. https://doi.org/10.7780/kjrs.2015.31.1.1
  11. Lee, K., S. Kang, K. Kim and T.B. Chae, 2017. Cloud-based satellite image processing service by open source stack: A KARI case, Korean Journal of Remote Sensing 33(4):339-350. https://doi.org/10.7780/KJRS.2017.33.4.1
  12. Lee, K. and K. Kim, 2018. A Performance Evaluation of a Geo-Spatial Image Processing Service Based on Open Source PaaS Cloud Computing Using Cloud Foundry on OpenStack, Remote Sensing 10(8):1274. https://doi.org/10.3390/rs10081274
  13. Park, H. and J. Ahn, 2016. A Study on demand forecasting module implementation based on the e-Government standard framework, Journal of Korean Institute of Information Technology 14(4):119-127.
  14. Stack Overflow, 2018. The Developer ecosystem, https://www.stackoverflow business.com/uk/talent/resources/develop er-ecosystem-2018-predictions (Accessed April, 2018).
  15. Yoon, G., K. Kim and K. Lee, 2016. Performance testing of satellite image processing based on OGC WPS 2.0 in the OpenStack cloud environment, Korean Journal of Remote Sensing 32(6):617-627. https://doi.org/10.7780/kjrs.2016.32.6.6
  16. Yoon, G., K. Kim and K. Lee, 2017. Linkage of OGC WPS 2.0 to the e- Government standard framework in Korea: an implementation case for geospatial image processing, ISPRS International Journal of Geo-Information 6(1):25. https://doi.org/10.3390/ijgi6010025