Optimal QoS load balancing mechanism for virtual machines scheduling in eucalyptus cloud computing platform

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.