Migration Cost Aware Mitigating Hot Nodes in the Cloud

Author

Li Deng ; Hai Jin ; Huacai Chen ; Song Wu

Author_Institution

Sch. of Comput. Sci. & Technol., Wuhan Univ. of Sci. & Technol., Wuhan, China

fYear

2013

fDate

16-19 Dec. 2013

Firstpage

197

Lastpage

204

Abstract

Cloud enables dynamic resource sharing among different applications. Live virtual machine (VM) migration is an important way to reconfigure workloads in the Cloud. However, reconfiguration cost using live VM migration is always ignored. In fact, migration cost may vary significantly for different workloads due to diverse characteristics. In this paper, we present a quick and efficient method to make migration decisions to mitigate hot nodes. The process of live VM migration is theoretically analysed. A quantitative model is figured out to estimate migration costs for applications. We implement system prototype based on Xen 3.2.0. The experimental results show that our approach can fast mitigate hot nodes in the Cloud and effectively reduce migration cost.

Keywords

cloud computing; virtual machines; Xen 3.2.0; cloud computing; dynamic resource sharing; live VM migration; live virtual machine migration; migration cost aware mitigating hot nodes; migration decision making; quantitative model; system prototype; workload reconfiguration cost; workloads; Bandwidth; Instruction sets; Memory management; Prediction algorithms; Predictive models; Synchronization; Virtual machining;

fLanguage

English

Publisher

ieee

Conference_Titel

Cloud Computing and Big Data (CloudCom-Asia), 2013 International Conference on

Conference_Location

Fuzhou

Print_ISBN

978-1-4799-2829-3

Type

conf

DOI

10.1109/CLOUDCOM-ASIA.2013.72

Filename

6820993