In recent years, the applications of cloud computing technology has been increased significantly. Multi-tenant property of cloud computing allows data sharing between clients. The multi-tenant data management system breaks the cost of hardware, software and professional services among a large number of tenants and thus reduces per-tenant cost. A multi-tenant database system should provide high performance with small storage space and excellent scalability. One major challenge is to reach a database scheme with high-quality. In this paper, we offer a compatible ADAPTED database schema based on genetic algorithms, and compare it with similar schema. Simulation results show that the proposed approach (GA-ADAPT) besides considering criteria of quality of service, provides higher performance comparing the previous ones in terms of selection time of the important features and the average response time to the tenants.
목차
Abstract 1. Introduction 2. Related Works 3. The Proposed Approach 4. Performance Evaluation 4.1. Evaluation of First Scenario 4.2. Evaluation of Second Scenario 4.3. Evaluation of Third Scenario 4.4. Evaluation of Fourth Scenario 4.5. Total Evaluation 5. Conclusion and Further Work References
키워드
Cloud computingMulti TenancyData Management
저자
Reyhaneh Kheiri [ Department of Computer Engineering, Mahallat Branch, Islamic Azad University, Iran ]
Alireza Taghizadeh [ Department of Computer Engineering, Parand Branch, Islamic Azad University, Iran ]
Elaheh Kheiri [ Department of Computer Engineering, Mahallat Branch, Islamic Azad University, Iran ]
Mostafa Ghobaei Arani [ Department of Computer Engineering, Mahallat Branch, Islamic Azad University, Iran ]
보안공학연구지원센터(IJSEIA) [Science & Engineering Research Support Center, Republic of Korea(IJSEIA)]
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 Software Engineering and Its Applications
간기
월간
pISSN
1738-9984
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Software Engineering and Its Applications Vol.10 No.7