Clouds focus on flexibility and on-demand provisioning of virtualized resources, which allow users to scale up and down the usage of resources according to their needs. These characteristics give rise to more challenges for resource allocation in cloud system. The optimization of virtual machines (VMs) allocation and the minimization of time and infrastructure cost are still needed to be improved. Meanwhile, failure-aware VMs rescheduling and allocation is another key point to be considered. This paper focuses on the resource failures and presents efficient VMs scheduling mechanisms and policies which try to keep the trade off between system performance and QoS.
목차
Abstract 1. Introduction 2. Scheduling Policies 3. System Model 3.1. Modeling Description 3.2. VMs Rescheduling Schemes 4. System Analysis 4.1. System Parameters 4.2. Measures of Interest 4.3. Simulation Results 5. Conclusion Acknowledgements References
키워드
VM SchedulingFailure-AwareCloudSimPy
저자
Yang Cao [ Information Technology College, Eastern Liaoning University, Dandong, China ]
CheulWoo Ro [ Computer Engineering Department, Silla University, Busan, Korea ]
Corresponding Author
JianWei Yin [ Computer Engineering Department, Silla University, Busan, Korea ]
보안공학연구지원센터(IJCA) [Science & Engineering Research Support Center, Republic of Korea(IJCA)]
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 Control and Automation
간기
월간
pISSN
2005-4297
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Control and Automation Vol.7 No.1