Title :
Optimal QoS load balancing mechanism for virtual machines scheduling in eucalyptus cloud computing platform
Author :
Chen, Jiann-Liang ; Larosa, Yanuarius Teofilus ; Yang, Pei-Jia
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
Abstract :
Virtual machine (VM) is a key component of cloud computing technology. Therefore developing an optimal scheduling mechanism for balancing VM operations at cloud computing framework is an intriguing issue for cloud computing service performance. This paper presents a study to improve cloud computing systems performance based on Eucalyptus cloud platform. An optimal load balancing mechanism called EuQoS system for scheduling VMs is proposed. Extending EuQoS to accommodate real-time services, Hadoop platform is integrated into the EuQoS system. Log processing services are utilized to investigate the performance of system throughput. Experimental results indicate that the proposed EuQoS system can improve system throughput by 6.94% compared with the basic Eucalyptus platform with Hadoop mechanisms.
Keywords :
cloud computing; public domain software; quality of service; resource allocation; scheduling; software performance evaluation; virtual machines; EuQoS system; Eucalyptus cloud computing platform; Hadoop mechanisms; VM operation balancing; cloud computing service performance improvement; log processing service utilization; optimal QoS load balancing mechanism; optimal scheduling mechanism; quality-of-service; system throughput; virtual machines scheduling; Cloud computing; Computer architecture; Data analysis; Load management; Monitoring; Quality of service; Servers; Cloud Computing; Eucalyptus Platform; Hadoop Platform; Load Balancing Mechanism; Quality of Service (QoS); Virtual Machine (VM);
Conference_Titel :
Future Internet Communications (BCFIC), 2012 2nd Baltic Congress on
Conference_Location :
Vilnius
Print_ISBN :
978-1-4673-1672-9
DOI :
10.1109/BCFIC.2012.6217949
