Xen和Hyper-V在使用加密系统的云计算中的性能比较

Q3 Computer Science

International Journal of Advances in Soft Computing and its Applications Pub Date : 2022-11-28 DOI:10.15849/ijasca.221128.02

Waleed K AbdulRaheem

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引用次数: 1

摘要

摘要云计算是一种将进程从个人计算机或服务器转移到云服务器的互联网分布式计算模型。如今，云计算的安全性和性能被认为对用户和云服务提供商都具有挑战性。确保云计算服务器上的数据安全将确保隐私、机密性、完整性和可用性。使用加密技术是保证数据存储和传输安全的主要方法之一。云管理程序是一种提供抽象的软件，称为虚拟机监视器。Hyper-V和Xen是两种不同类型的管理程序。在本文中，通过使用带有实例的两个管理程序，部署了八种不同类型的加密算法，以衡量管理程序在加密和解密时的性能。当加密和解密具有不同的数据类型和大小时，测量CPU利用率和响应时间。结果表明，Xen在大多数结果上优于Hyper-V，在持续时间和CPU利用率方面平均分别为15%和6.1%。关键词：云计算，虚拟化，Hypervisors，Xen，Hyper-V，加密算法

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Performance Comparison of Xen AND Hyper-V in Cloud Computing While Using Cryptosystems

Abstract Cloud computing is internet-distributed computing model transferring processes from personal computers or servers to cloud servers. Nowadays, security and performance of cloud computing is considered challenging for both users and cloud service providers. Securing data on cloud computing servers will ensures privacy, confidentiality, integrity, and availability. Using cryptographic techniques is one of the major methods to ensure the data security while storing and transmission. Hypervisor in a cloud is a software that provides abstraction and called virtual machine monitor. Hyper-V and Xen are two different types of hypervisors. In this paper, eight different types of cryptographic algorithms are deployed by using the two hypervisors with instances, to measure the hypervisors performance while encryption and decryption. CPU utilization and response time are measured while encryption and decryption are having different data types and sizes. Results show that Xen is better than Hyper-V in most results on average at 15% and 6.1% for time duration and CPU utilization respectively. Keywords: Cloud Computing, Virtualization, Hypervisors, Xen, Hyper-V, Cryptographic Algorithm

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来源期刊

International Journal of Advances in Soft Computing and its Applications Computer Science-Computer Science Applications

CiteScore

3.30

自引率

0.00%

发文量

期刊介绍： The aim of this journal is to provide a lively forum for the communication of original research papers and timely review articles on Advances in Soft Computing and Its Applications. IJASCA will publish only articles of the highest quality. Submissions will be evaluated on their originality and significance. IJASCA invites submissions in all areas of Soft Computing and Its Applications. The scope of the journal includes, but is not limited to: √ Soft Computing Fundamental and Optimization √ Soft Computing for Big Data Era √ GPU Computing for Machine Learning √ Soft Computing Modeling for Perception and Spiritual Intelligence √ Soft Computing and Agents Technology √ Soft Computing in Computer Graphics √ Soft Computing and Pattern Recognition √ Soft Computing in Biomimetic Pattern Recognition √ Data mining for Social Network Data √ Spatial Data Mining & Information Retrieval √ Intelligent Software Agent Systems and Architectures √ Advanced Soft Computing and Multi-Objective Evolutionary Computation √ Perception-Based Intelligent Decision Systems √ Spiritual-Based Intelligent Systems √ Soft Computing in Industry ApplicationsOther issues related to the Advances of Soft Computing in various applications.