원문정보
보안공학연구지원센터(IJHIT)
International Journal of Hybrid Information Technology
Vol.9 No.12
2016.12
pp.321-332
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
The energy consumption is one of the most important factors in the virtual machines deployment in the current data centres. Various studies proved that the energy aware management of the virtual machines can reduce the total energy consumption about tens of percents. We developed the new approach, based on the distributed algorithm, which is able to consolidate the virtual machines between various virtualization nodes without the central coordinator. The input data for this algorithm is collected online from the electronic wattmeters, which are placed before the energy input of each virtualization node.
목차
Abstract
1. Introduction
2. Related Work Overview
3. Distributed Virtual Machine Consolidation Algorithm (DVMCA)
3.1. Virtualization Nodes Consumption Suitability Metrics
3.2. The Distributed Algorithm Principle
3.3. Nodes States Detection Policies
3.4. Virtual Machine Selection Policy for Migration
4. Measurements and Results Evaluation
4.1. Measurements Specification
4.2. Energy Consumption Efficiency Measurements
4.3. Experimental Algorithm Evaluation
5. Conclusion
References
1. Introduction
2. Related Work Overview
3. Distributed Virtual Machine Consolidation Algorithm (DVMCA)
3.1. Virtualization Nodes Consumption Suitability Metrics
3.2. The Distributed Algorithm Principle
3.3. Nodes States Detection Policies
3.4. Virtual Machine Selection Policy for Migration
4. Measurements and Results Evaluation
4.1. Measurements Specification
4.2. Energy Consumption Efficiency Measurements
4.3. Experimental Algorithm Evaluation
5. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보