Virtualization-based cloud computing platforms allow multiple virtual machines (VMs) running on the same physical machine. Efficient allocation of limited underlying resources has been a key issue. In order to improve the CPU resources utilization, this paper presents a workload-aware CPU resources scheduling method (WARS). WARS uses the allocated credits and consumed credits to diagnose the CPU resources requirements of VMs and dynamically adjusts CPU resources according to the requirements of VMs. The adjustment of CPU resources is converted into increased or decreased weights of VMs. The implementation of WARS is confined to the VMM layer, without VM dependency. Our evaluation shows that WARS can improve the overall utilization of CPU resources.
목차
Abstract 1. Introduction 2. Background 3. The WARS Scheduling Model 3.1. WARS Architecture 3.2. Resources Requirement Diagnose Model 3.3. Resource Scheduling Model 3.4 The Evaluating Model 4. Performance Evaluation 4.1. Experiment Setup 4.2. Performance Evaluation 5. Related Work 6. Conclusions Acknowledgements References
키워드
VirtualizationVirtual MachineResource allocation.
저자
Hongshan Qu [ School of Computer, Henan Institute of Engineering, Zhengzhou, 451191, China ]
Xiaodong Liu [ School of Computer, Henan Institute of Engineering, Zhengzhou, 451191, China ]
Huating Xu [ School of Computer, Henan Institute of Engineering, Zhengzhou, 451191, China ]
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.1