Title :
Research for the virtual machine-oriented cloud resource scheduling algorithm
Author :
Youchan Zhu ; Huili Liang
Author_Institution :
Inf. & Network Manage. Center, North China Electr. Power Univ., Baoding, China
Abstract :
Resource scheduling for the virtual machine is a major research direction of cloud computing. To overcome the defects of the cloud computing data centre in resource management, and ensure that the cloud computing can supply better QoS service, the ant colony optimization, ACO(Ant Colony Optimization) will be applied to the cloud resource scheduling according to the actual QoS(Quality of Service) parameters requirement of the environment for the cloud computing. The simulation experiment indicates that the method can solve some problems to a certain extent, such as increase the usage of the cloud computing resource and reduce the computing time etc.
Keywords :
ant colony optimisation; cloud computing; computer centres; quality of service; resource allocation; scheduling; virtual machines; ACO; QoS service; ant colony optimization; cloud computing data centre; computing time reduction; quality of service parameters; resource management; virtual machine-oriented cloud resource scheduling algorithm; Ant colony optimization; Bandwidth; Cities and towns; Cloud computing; Processor scheduling; Quality of service; Virtual machining; ACO; QoS; Resource scheduling; Virtual machine;
Conference_Titel :
Information Management, Innovation Management and Industrial Engineering (ICIII), 2013 6th International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4799-3985-5
DOI :
10.1109/ICIII.2013.6702893