{"title":"使用SIGAR框架对私有云中不同操作系统与KVM管理程序的性能进行比较","authors":"P. V. V. Reddy, L. Rajamani","doi":"10.1109/ICCICT.2015.7045680","DOIUrl":null,"url":null,"abstract":"Hypervisors enable multiple operating systems to run above it with the help of virtualization technique by sharing underlying physical resources. KVM hypervisor uses hybrid virtualization technique i.e., it uses full virtualization technique along with hardware assisted virtualization. It is motivating to analyse different Operating Systems (OSs) performance in the Private Cloud with KVM hypervisor. We have chosen three guest operating systems, namely Windows 2008 R2, Red Hat Enterprise Linux 5 (RHEL 5) and Ubuntu 10.04 Lucid Lynx (all are 64-bit) for the experimentation in the private cloud which is created using CloudStack. The three Operating Systems (OSs) are prudently chosen to represent three categories (Hardware virtualized guest or Hardware Virtual Machine (HVM), para-virtualized commercial guest and para-virtualized free guest). The performances of three Operating Systems have been planned to evaluate by creating low, medium and high workloads. The Operating Systems are compared by performance tests of CPU utilization, memory management, disk activity, and network communication. Important System information is gathered using SIGAR framework on the respective guest Operating System on KVM hypervisor.","PeriodicalId":324889,"journal":{"name":"2015 International Conference on Communication, Information & Computing Technology (ICCICT)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Performance comparison of different operating systems in the private cloud with KVM hypervisor using SIGAR framework\",\"authors\":\"P. V. V. Reddy, L. Rajamani\",\"doi\":\"10.1109/ICCICT.2015.7045680\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Hypervisors enable multiple operating systems to run above it with the help of virtualization technique by sharing underlying physical resources. KVM hypervisor uses hybrid virtualization technique i.e., it uses full virtualization technique along with hardware assisted virtualization. It is motivating to analyse different Operating Systems (OSs) performance in the Private Cloud with KVM hypervisor. We have chosen three guest operating systems, namely Windows 2008 R2, Red Hat Enterprise Linux 5 (RHEL 5) and Ubuntu 10.04 Lucid Lynx (all are 64-bit) for the experimentation in the private cloud which is created using CloudStack. The three Operating Systems (OSs) are prudently chosen to represent three categories (Hardware virtualized guest or Hardware Virtual Machine (HVM), para-virtualized commercial guest and para-virtualized free guest). The performances of three Operating Systems have been planned to evaluate by creating low, medium and high workloads. The Operating Systems are compared by performance tests of CPU utilization, memory management, disk activity, and network communication. Important System information is gathered using SIGAR framework on the respective guest Operating System on KVM hypervisor.\",\"PeriodicalId\":324889,\"journal\":{\"name\":\"2015 International Conference on Communication, Information & Computing Technology (ICCICT)\",\"volume\":\"134 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-02-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Communication, Information & Computing Technology (ICCICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCICT.2015.7045680\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Communication, Information & Computing Technology (ICCICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCICT.2015.7045680","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
摘要
虚拟机管理程序通过共享底层物理资源,借助虚拟化技术,使多个操作系统能够在其之上运行。KVM管理程序使用混合虚拟化技术,即使用完全虚拟化技术和硬件辅助虚拟化。使用KVM管理程序分析私有云中不同操作系统(os)的性能是一种激励。我们选择了三个客户操作系统,即Windows 2008 R2、Red Hat Enterprise Linux 5 (RHEL 5)和Ubuntu 10.04 Lucid Lynx(都是64位),在使用CloudStack创建的私有云中进行实验。这三种操作系统经过精心选择,分别代表三种类型(硬件虚拟化客户端或硬件虚拟机(HVM)、半虚拟化的商业客户端和半虚拟化的自由客户端)。计划通过创建低、中、高工作负载来评估三种操作系统的性能。操作系统通过CPU利用率、内存管理、磁盘活动和网络通信的性能测试进行比较。重要的系统信息是在KVM管理程序上的相应客户机操作系统上使用SIGAR框架收集的。
Performance comparison of different operating systems in the private cloud with KVM hypervisor using SIGAR framework
Hypervisors enable multiple operating systems to run above it with the help of virtualization technique by sharing underlying physical resources. KVM hypervisor uses hybrid virtualization technique i.e., it uses full virtualization technique along with hardware assisted virtualization. It is motivating to analyse different Operating Systems (OSs) performance in the Private Cloud with KVM hypervisor. We have chosen three guest operating systems, namely Windows 2008 R2, Red Hat Enterprise Linux 5 (RHEL 5) and Ubuntu 10.04 Lucid Lynx (all are 64-bit) for the experimentation in the private cloud which is created using CloudStack. The three Operating Systems (OSs) are prudently chosen to represent three categories (Hardware virtualized guest or Hardware Virtual Machine (HVM), para-virtualized commercial guest and para-virtualized free guest). The performances of three Operating Systems have been planned to evaluate by creating low, medium and high workloads. The Operating Systems are compared by performance tests of CPU utilization, memory management, disk activity, and network communication. Important System information is gathered using SIGAR framework on the respective guest Operating System on KVM hypervisor.