In order to meet the requirements for data access by tenants and management by service providers, the multi-tenant data stored in cloud using replica technology must be reasonably placed. For the outweight nodes and the ultra light nodes, according to characteristics of the multi-tenant data and the load of nodes, through adjusting the number and position of the replicas to maintenance and optimization the strategy so that meet the SLA requirements meanwhile minimize the overall cost. Experimental results through comparison with random placement strategy and greedy placement policy demonstrate the feasibility and effectiveness of the proposed strategy.
목차
Abstract 1. Introduction 2. Related Works 3. Problem Description and Modeling 4. Optimization Adjustment Strategies and Algorithms for SaaS Multi-tenant Data Placement 4.1. The Initial Placement Stage 4.2. The New Data Placement Stage 4.3. The Optimization Adjustment Stage 4.4 The Analysis of the Algorithm Complexity 5. Experiments and Results Analysis 5.1. Experimental Setup 5.2. Results and Analysis 6. Conclusions and Future Work Acknowledgements References
보안공학연구지원센터(IJGDC) [Science & Engineering Research Support Center, Republic of Korea(IJGDC)]
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 Grid and Distributed Computing
간기
격월간
pISSN
2005-4262
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Grid and Distributed Computing Vol.8 No.2