원문정보
초록
영어
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
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
저자정보
참고문헌
자료제공 : 네이버학술정보
- 1Dynamic Power- and Failure-Aware Cloud Resources Allocation for Sets of Independent Tasks네이버 원문 이동
- 2Grids, Clouds and Virtualization네이버 원문 이동
- 3A Survey of Various Scheduling Algorithms in Cloud Environment네이버 원문 이동
- 4The NIST definition of cloud computing네이버 원문 이동
- 5Analyzing and Modeling the Performance in Xen-Based Virtual Cluster Environment네이버 원문 이동
- 6Adaptive scheduling for QoS-based virtual machine management in cloud computing네이버 원문 이동
- 7(Reference title not available)