As the number of Web users and the amount of information produced keep growing rapidly, information systems need to be scaled up constantly. Usually scaling methods of information systems suffer from being chosen by experience, this paper studied on quantitative optimal selection of vertical/horizontal scaling methods. According to investigation and statistics, we assumed the cost growth formula of the key performance parameters reasonably. Then five key parameters of systems were chosen to construct Kiviat graphs and the areas of Kiviat graphs were computed to evaluate system performance. Next, the quantitative function relation between the performance of information system and the cost of system scaling was established, and then three optimal selection algorithms for system scaling were proposed. Finally, some case studies demonstrate that algorithms are feasible and have a great significance for guiding system scaling.
목차
Abstract 1. Introduction 2. Basic Concept and Extension Requirements 3. Web System Architecture and Cost Model 3.1. Web System Architecture 3.2. Modeling 4. Comprehensive Performance Model 4.1. Area Method for Evaluating Comprehensive Performance 4.2. Calculation of Each Component 4.3. Semantics of Extension by k Times 5. Optimal Selection Algorithms 5.1. Same Extension for Each Component and Less Cost Chosen First (SELC) 5.2. Same Cost for Extension and Better Performance Chosen First (SCBP) 5.3. CPU Preference and Less Cost Chosen First (CPLC) 6. Case Studies 6.1. Actual Parameters 6.2. Applications 7. Conclusion Acknowledgement References
키워드
Web information systemvertical scalinghorizontal scalingoptimal selection
저자
Wenjuan Liu [ Department of Computer Science and Technology,Tongji University,Shanghai 201804, China, State Key Laboratory of High-end Server & Storage,Technology,Jinan 250101, China ]
Guosun Zeng [ Department of Computer Science and Technology,Tongji University,Shanghai 201804, China ]
Huanliang Xiong [ Department of Computer Science and Technology,Tongji University,Shanghai 201804, China, Jiangxi Agricultural University,Nanchang ]
보안공학연구지원센터(IJUNESST) [Science & Engineering Research Support Center, Republic of Korea(IJUNESST)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of u- and e- Service, Science and Technology
간기
격월간
pISSN
2005-4246
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of u- and e- Service, Science and Technology Vol.9 No.9