- 期刊
A Stochastic Modeling for VM Consolidation in Cloud Computing
並列摘要
Virtualization offers manageability, isolation, as well as cost effectiveness through Virtual Machine (VM) consolidation. Although a lot of research ideas about virtualization for cloud computing have been proposed, they mainly focus on how to manage VMs efficiently, e.g. deployment and migration. This paper looks at virtualization from a different perspective and answers the question of how big the scale of physical infrastructure is when a cloud computing environment is constructed through virtualization. We propose a stochastic modeling approach with 2-Dimensional Continuous Time Markov Chain. In this model, each state is represented by a pair of the number of VMs and the number of Physical Machines (PMs), and the transition probabilities between adjacent states are calculated. The proposed approach estimates the mean value and variance for the number of running PMs and shows that the probability density function for the number of PMs follows a normal distribution.
延伸閱讀
- Lin, F. S. (2011). A Feature Selection and Classification Tool Using Cloud Computing Architecture [master's thesis, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU.2011.10607
- Tsang, W. Y. (2000). Aspects of modelling stochastic volatility [master's thesis, The University of Hong Kong]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0029-1812201200005990
- Yang, W. P. (2011). Performance Modeling for Mashup Services in Cloud Computing [master's thesis, National Chiao Tung University]. Airiti Library. https://doi.org/10.6842/NCTU.2011.00853
- 陳博榮（2011）。High-Availability VM in Cloud Computing Architecture〔碩士論文，元智大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0009-2801201414592841
- Huang, S. Y. (2019). An Implementation of Stochastic Volatility Model [master's thesis, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU201900044