Abstract
Due to the increasing number of computer hosts deployed in an enterprise, automatic management of electronic applications is inevitable. To provide diverse services, there will be increases in procurement, maintenance, and electricity costs. Virtualization technology is getting popular in cloud computing environment, which enables the efficient use of computing resources and reduces the operating cost. In this paper, we present an automatic mechanism to consolidate virtual servers and shut down the idle physical machines during the off-peak hours, while activating more machines at peak times. Through the monitoring of system resources, heavy system loads can be evenly distributed over physical machines to achieve load balancing. By integrating the feature of load balancing with virtual machine live migration, we successfully develop an automatic private cloud management system. Experimental results demonstrate that, during the off-peak hours, we can save power consumption of about 69 W by consolidating the idle virtual servers. And the load balancing implementation has shown that two machines with 80% and 40% CPU loads can be uniformly balanced to 60% each. And, through the use of preallocated virtual machine images, the proposed mechanism can be easily applied to a large amount of physical machines.
Highlights
Cloud computing [1] is booming in the internet world
As of virtual machines (VMs) operating management, we found that it is relatively easy to recover from the faults of CPU, memory, network, and display adapter, while the damage of disk image usually causes a big trouble to bring up the system
Among eight VMs, which are evenly distributed over two physical machines, the CPU loadings are assigned as 80%, 40%, and six VMs with 20% each
Summary
Cloud computing [1] is booming in the internet world. In addition to public and education clouds [2], enterprises start deploying private clouds [3]. A cloud system can decrease the cost of physical machines and power consumption and can increase the utilization rate of physical machines. By adopting the private cloud, an enterprise is able to install operating systems of different types and versions, allowing a variety of services and applications to be provided. Prior to the use of cloud systems, achieving this goal may require many physical machines together with a large amount of human power. Enterprises can use virtual machines [4] to provide the same functionalities while decreasing the use of physical machines and power consumption
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