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캠퍼스내 레거시 웹서버 통합 운영을 위한 클라우드 컴퓨팅의 최적용량 및 전환이익 분석
이구연(Goo Yeon Lee),최창열(Chang Yeol Choi),최황규(Hwang Kyu Choi),장민(Min Jang),윤재구(Jae Ku Yoon) 한국디지털콘텐츠학회 2014 한국디지털콘텐츠학회논문지 Vol.15 No.2
Cloud computing helps users to save a significant amount of cost that is related to infrastructure investment, management, and maintenance. In this paper, we study the conversion planning from campus legacy web servers into an integrated cloud computing web server system. We also analyze the conversion profit when campus web servers are integrated into a cloud computer. We first investigate the cost of legacy system model of campus web servers operated by individual laboratories, departments, institutes and so on. Next, we set up a cloud computer model for the integrated web services meeting the same performance requirements. Then, we derive the conversion profit. From the result of the derivation, we see that the conversion can be effectively applied to and adopted by mid or large sized campuses and similar institutions that provide web services.
대학 학사정보시스템의 클라우드 컴퓨팅을 위한 최적용량 분석
이구연(Goo Yeon Lee),최황규(Hwang Kyu Choi),최창열(Chang Yeol Choi),장민(Min Jang),윤재구(Jae Ku Yoon) 한국디지털콘텐츠학회 2014 한국디지털콘텐츠학회논문지 Vol.15 No.3
Recently, cloud computing has been affecting academic information system buildup. When university academic affairs information system is designed with cloud computing, it is very important to estimate the adequate processing capacity for the cloud computer taking into account a waste of resources and the quality of service. Cloud computers processing capacity to meet the quality of service expected by users should be predicted based on users transaction patterns and resource requirements characteristics. In this paper, we analyze actual traffic patterns occurring in university academic affairs business and propose a method to calculate the optimal processing capacity for cloud computer to satisfy the given average response time. To justify our research, we apply the research results to a real university academic affairs business case and obtain the optimal processing capacity for the integrated academic affairs business.