In cloud computing model, virtualized resources is provided to customers as a service over the Internet with reasonable price. This model eectively helps customers focus on their creative business because computing resources are provided on demand by cloud provider. Because of the convenient for cloud customers, the demand for cloud resource grows, thus make cloud data center enlarge and energy consumption becomes a critical issue for cloud provider as well as the carbon dioxide emission. In order to save energy, virtual machines are consolidated to reduce the number of servers required to host them. However, for appli- cations that require communication among services, this migration can increase the latency which causes bad eect on their performance. This paper presents an algorithm that im- prove communication performance by reducing overall trac cost of virtual machines and while energy by increasing CPU utilization.
목차
Abstract 1 Introduction 2 Related works 3 Background and Motivation 3.1 Data center topology 3.2 Trac matric simulation 3.3 Energy-aware VM placement 4 Virtual machine placement algorithm 4.1 Trac aware nding host for VM 4.2 Energy aware nding host for VM 4.3 Finding host for VM algorithm 5 Evaluation 6 Conclusion References
저자
Hieu Trong Vu [ National Institute of Supercomputing and Networking Korea Institute of Science and Technology Information Daejeon 305-806, Korea ]
Soonwook Hwang [ National Institute of Supercomputing and Networking Korea Institute of Science and Technology Information Daejeon 305-806, Korea ]
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.7 No.1