DocumentCode
3207055
Title
The dynamic migration model for cloud service resource balancing energy consumption and QoS
Author
He Luo ; Jie Cao ; Yongkang Wang ; Xiaoxuan Hu
Author_Institution
Sch. of Manage., Hefei Univ. of Technol., Hefei, China
fYear
2015
fDate
23-25 May 2015
Firstpage
6035
Lastpage
6039
Abstract
The data center Energy Consumption (EC) and the user Quality of Service (QoS) are two important influencing factors, which the cloud service provider must balance in the process of providing virtual cloud services resources (VCSR). For the VCSR over-deployment phenomenon happening in cloud computing Infrastructure as a Service (IAAS), a user-oriented deployment constraint of VCSR is proposed, and the definition of user´s Service Level Agreements (SLA) and the energy consumption of data center are also suggested. On the basis of that, the model of dynamic migration of the virtual nodes is given, solved by simulated annealing algorithm. In the experiments, different strategies are compared using CloudSim. The results show that the suggested strategy has advantages on balancing the energy consumption of data center and user´s QoS.
Keywords
cloud computing; computer centres; contracts; power aware computing; quality of service; simulated annealing; virtualisation; CloudSim; IAAS; SLA; VCSR over-deployment phenomenon; cloud computing; cloud service provider; cloud service resource balancing energy consumption; data center; data center energy consumption; dynamic migration model; infrastructure as a service; quality of service; simulated annealing algorithm; user QoS; user service level agreements; user-oriented deployment constraint; virtual cloud service resources; Cloud computing; Data models; Energy consumption; Hard disks; Load modeling; Quality of service; Simulated annealing; Cloud computing; Dynamic consolidation; Service Level Agreements; Virtualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location
Qingdao
Print_ISBN
978-1-4799-7016-2
Type
conf
DOI
10.1109/CCDC.2015.7161893
Filename
7161893
Link To Document