DOI QR코드

DOI QR Code

대량 처리 엔진(ElasticSearch)을 이용한 시스템 및 어플리케이션 성능 모니터링 시스템에 관한 연구

A Study on System and Application Performance Monitoring System Using Mass Processing Engine(ElasticSearch)

  • 김승천 (한성대학교 스마트융합컨설팅학과) ;
  • 장희돈 (한성대학교 스마트융합컨설팅학과)
  • Kim, Seung-Cheon (Dept. of Smart Convergence Consulting, Hansung University) ;
  • Jang, Hee-Don (Dept. of Smart Convergence Consulting, Hansung University)
  • 투고 : 2019.08.01
  • 심사 : 2019.09.20
  • 발행 : 2019.09.28

초록

사물인터넷(IoT), 빅데이터(BigData) 및 인공지능(AI)과 같은 최신 IT 기술로 인터넷 비즈니스가 성장함에 따라 인프라가 빠르게 성장하고 있습니다. 그러나 대부분의 회사에서는 제한된 수의 사람들이 많은 하드웨어와 소프트웨어를 관리해야합니다. 따라서 시스템 운영 상태, IT 서비스 및 주요 핵심성과지표(KPI, Key Performance Indicator)를 모니터링하기 위한 PEMS (Polestar Enterprise Management System)을 적용합니다. 실시간 모니터 스크리닝은 시스템 오작동 및 빠른 응답을 방지합니다. PEMS를 사용하면 IT 하드웨어 및 소프트웨어와 관련된 구성 정보를 한눈에 볼 수 있으며 전체 종단 간 성능을 모니터링하여 문제가 실시간으로 발생하는 시기를 확인할 수 있습니다.

Infrastructure is rapidly growing as Internet business grows with the latest IT technologies such as IoT, BigData, and AI. However, in most companies, a limited number of people need to manage a lot of hardware and software. Therefore, Polestar Enterprise Management System(PEMS) is applied to monitor the system operation status, IT service and key KPI monitoring. Real-time monitor screening prevents system malfunctions and quick response. With PEMS, you can see configuration information related to IT hardware and software at a glance, and monitor performance throughout the entire end-to-end period to see when problems occur in real time.

키워드

참고문헌

  1. D. H. Shin, S. H. Han, H. J. La & S. D. Kim. (2015). Engineering : Technical Issues and Solutions for Developing IoT Applications. KIPS Tr. Software and Data Eng., 4(3), 99-110. DOI : 10.3745/KTSDE.2015.4.3.99
  2. S. J. Lee & D. H. Lee. (2015). Real time predictive analytic system design and implementation using Bigdata-log. Korea Institute Of Information Security And Cryptology, 25(6), 1399-1410. DOI : 10.13089/JKIISC.2015.25.6.1399
  3. M. S. Ann. (2017). A Qualitative Research on Internet Discourse on Artificial Intelligence (AI). The Society of Convergence Knowledge, 5(2), 63-69.
  4. S. B. LEE. (2010). Realization of Total Monitoring System Used to Various Communication Protocol. Korean Institute of Information Technology, 8(11), 121-128.
  5. Y. S. Kim & J. T. Lee. (2017). Performance Analysis of Communication Protocols. The Institute of Electronics and Information Engineers, 413-417.
  6. Nkia, co., ltd. (2018). Introduction of POLESTAR EMS, KOREA[Online]. http://www.nkia.co.kr/integrationcase/
  7. H. C. Kim & M. J. Kim. (2018). Design and implementation of customized information providing application based on user location. The Society of Convergence Knowledge, 6(1), 149-155.
  8. H. H. Choi & G. H. Kim. (2011). A Study on Service Migration in HTML5 based HTTP Streaming Environments. Korea Multimedia Society, 14(7), 905-916. DOI : 10.9717/kmms.2011.14.7.905
  9. H. J. Lee & T. K. Lee. (1998). Geographical Infomation Retrieval by JDBC 3-tier Model. Korea Multimedia Society, 141-146.
  10. H. D. Park. (2016). A Study about Performance Evaluation of Various NoSQL Databases. Korea Information Electron Communication Technology, 9(3), 298-305 DOI : 10.17661/jkiiect.2016.9.3.298
  11. I. H. Kim. (2018). A Study on the Performance of Cloud-based VDI Adoption: Comparing between IS administrators and business users. Management & Information Systems Review, 2(70), 149-167. DOI : 10.29214/damis.2018.37.2.008
  12. Y. H. Lee & D. H. Im. (2019). Design and Implementation of Shortest Path Search Algorithm(ALT) for Relational Database. Journal of Computing Science and Engineering, 25(4), 215-222 DOI : 10.5626/KTCP.2019.25.4.215
  13. J. Y. Choi, D. G. Kwak, M. C. Lee H. G. Jang & Y. S. Paik. (2006). Aspect Oriented Programming(AOP) and its Applications. The Korean Institute of Information Scientists and Engineers, 24(12), 21-27
  14. A. J. Cocciolone. (2019). A High-Throughput Screening Platform for In Vitro Elastic Fiber Production and the Mass Transport Properties of the Elastic Fiber Compromised Arterial Wall. Ph.D. Washington University in St. Louis Biomedical Engineering, USA.
  15. C. H. Kim & K. W. Park. (2015). Web Service Performance Improvement with the Redis. Journal of information and communication convergence engineering, 19(9), 2064-2072. DOI : 10.6109/jkiice.2015.19.9.2064