Performance Evaluation of Xen, KVM, and Proxmox Hypervisors

2018 ◽  
Vol 9 (2) ◽  
pp. 39-54 ◽  
Author(s):  
Sultan Abdullah Algarni ◽  
Mohammad Rafi Ikbal ◽  
Roobaea Alroobaea ◽  
Ahmed S Ghiduk ◽  
Farrukh Nadeem

Hardware virtualization plays a major role in IT infrastructure optimization in private data centers and public cloud platforms. Though there are many advancements in CPU architecture and hypervisors recently, but overhead still exists as there is a virtualization layer between the guest operating system and physical hardware. This is particularly when multiple virtual guests are competing for resources on the same physical hardware. Understanding performance of a virtualization layer is crucial as this would have a major impact on entire IT infrastructure. This article has performed an extensive study on comparing the performance of three hypervisors KVM, Xen, and Proxmox VE. The experiments showed that KVM delivers the best performance on most of the selected parameters. Xen excels in file system performance and application performance. Though Proxmox has delivered the best performance in only the sub-category of CPU throughput. This article suggests best-suited hypervisors for targeted applications.

Journal ICTEE ◽  
2021 ◽  
Vol 2 (2) ◽  
pp. 41
Author(s):  
Danur Wijayanto ◽  
Arizona Firdonsyah ◽  
Faisal Dharma Adhinata ◽  
Akhmad Jayadi

Teknologi virtualisasi memerankan peran penting Infrastuktur TI meliputi private data centers dan platform public cloud. Ada beberapa jenis virtualisasi yaitu Virtualisasi Container dan Hypervisor. Virtualisasi berbasis container  menggunakan kernel yang sama dan bekerja dalam layer software. Container memungkinkan menjalankan beberapa instance sistem operasi dan perangkat keras yang sama . Berbeda dengan container, hypervisor beroperasi pada level hardware memerlukan Operasi Sistem yang terpisah dengan sistem host. Ada beberapa platform virtualisasi yang dapat digunakan seperti Proxmox, VMWare ESX, dan OpenStack. Proxmox mendukung hypervisor KVM (Kernel-based Virtual Machine), dan LXC Container. KVM mempunyai performa CPU yang lebih baik daripada jenis virtualisasi lainnya seperti native, LXC, dan Docker. Penelitian ini bertujuan untuk mengimplementasi virtualisasi di PT.MKNT menggunakan platform virtualisasi PROXMOX. Hasil menunjukkan dengan menggunakan Platform PROXMOX dapat membantu untuk membuat dan mengelola VM dalam private server.


2020 ◽  
Vol 8 (1) ◽  
pp. 49-66
Author(s):  
Agus Priyo Utomo ◽  
Idris Winarno ◽  
Iwan Syarif

Currently, cloud computing technology is implemented by many industries in the world. This technology is very promising due to many companies only need to provide relatively smaller capital for their IT infrastructure. Virtualization is the core of cloud computing technology. Virtualization allows one physical machine to runs multiple operating systems. As a result, they do not need a lot of physical infrastructures (servers). However, the existence of virtualization could not guarantee that system failures in the guest operating system can be avoided. In this paper, we discuss the monitoring of hangs in the guest operating system in a virtualized environment without installing a monitoring agent in the guest operating system. There are a number of forensic applications that are useful for analyzing memory, CPU, and I/O, and one of it is called as LibVMI. Drakvuf, black-box binary analysis system, utilizes LibVMI to secure the guest OS. We use the LibVMI library through Drakvuf plugins to monitor processes running on the guest operating system. Therefore, we create a new plugin to Drakvuf to detect Hangs on the guest operating system running on the Xen Hypervisor. The experiment reveals that our application is able to monitor the guest operating system in real-time. However, Extended Page Table (EPT) violations occur during the monitoring process. Consequently, we need to activate the altp2m feature on Xen Hypervisor to by minimizing EPT violations.


Author(s):  
Nagaraj G Cholli ◽  
Srinivasan G N

A software aging in convoluted system refers to the situation where software degrades with span of time. This phenomenon, which may eventually lead to system performance degradation or crash/hang failure, is the result of depletion of operating system resources, data deception and numerical error assembly. A technique called software rejuvenation has been incorporated, which essentially involves periodic aborting an application or a system, flushing its intramural state and re-starting it. A main issue in rejuvenation is to discover ideal time to initiate software rejuvenation. Software rejuvenation is a proactive technique that allows preventing the occurrence of software failing. A novel approach called Smart interval and payload (SIP) policy is introduced to overcome all the hurdles in the present scenario based on Software Rejuvenation approaches. SIP policy accepts time from user and optimizes the rejuvenation time whenever workload is variable; otherwise the system is rejuvenated at its rejuvenation point. SIP policy avoids software failure and it helps to achieve high availability of convoluted system.


2022 ◽  
Vol 305 ◽  
pp. 117816
Author(s):  
Ranjith Kandasamy ◽  
Jin Yao Ho ◽  
Pengfei Liu ◽  
Teck Neng Wong ◽  
Kok Chuan Toh ◽  
...  

1993 ◽  
pp. 196-202
Author(s):  
Colin J. Theaker ◽  
Graham R. Brookes

2016 ◽  
Vol 8 (1) ◽  
pp. 71
Author(s):  
Editorial Board

Esconet's domain skills have centered on Data center, Storage, Networks, Security, Data Protection and Virtualization with expertise in designing, building and maintaining private cloud infrastructure as well as public cloud infrastructure.


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