Title :
vMerger: Server Consolidation in Virtualized Environment
Author :
Li Deng ; Hai Jin ; Song Wu
Author_Institution :
Sch. of Comput. Sci. & Technol., Wuhan Univ. of Sci. & Technol., Wuhan, China
Abstract :
In virtualized clusters, applications are deployed in virtual machines (VMs). Resource can be configured dynamically with the varying workloads. When workloads become low, applications can be consolidated on smaller number of nodes. Much more tasks can be processed in clusters. Virtualized clusters have better scalability than traditional clusters. In this paper, we present a server consolidation manager vMerger to improve the scalability of clusters. Linear programming is used for finding new mapping of VMs to smaller number of nodes. An optimized topological-sorting-based migration order generation method is designed to change VM distribution from current mapping to new mapping. The experimental results show that, vMerger effectively improves the scalability of clusters using server consolidation.
Keywords :
linear programming; resource allocation; virtual machines; virtualisation; VM; VM distribution; clusters scalability; linear programming; resource configuration; server consolidation; server consolidation manager; topological-sorting-based migration order generation method; vMerger; virtual machines; virtualized clusters; virtualized environment; Computational modeling; Educational institutions; Engines; Linear programming; Optimization; Scalability; Servers; linear programming; server consolidation; virtualization;
Conference_Titel :
Dependable, Autonomic and Secure Computing (DASC), 2013 IEEE 11th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-3380-8
DOI :
10.1109/DASC.2013.134