Three phase optimisation for qualified and secured VMs for resource allocation

Q3 Business, Management and Accounting International Journal of Enterprise Network Management Pub Date : 2018-09-13 DOI:10.1504/IJENM.2018.10015842
D. Arivudainambi, D. Dhanya
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引用次数: 1

Abstract

Cloud computing services enable the users to use required computing resources for the required period which thereby permit the users to build a flexible information system. Choosing genuine and secured virtual machines (VM) among thousands of virtual machines is one of the main challenges in resource allocation to achieve higher accuracy. In this paper, VM optimisation techniques namely match making algorithm, memory aware VM and cuckoo technique is incorporated to select the best and secured virtual machine from cloud. In the proposed technique the first two are combined to select the best VM, where cuckoo is used to provide optimised resources to the finest VM. During the selection of finest VM from above techniques, it is necessary to select secured VM's to achieve an optimum result during resource allocation. To select secured VM, signature based detection and secure counters are employed to analyse network traffic and to monitor the data transactions.
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对符合条件且安全的虚拟机进行资源分配的三期优化
云计算服务使用户能够在规定的期限内使用规定的计算资源,从而使用户能够建立灵活的信息系统。在成千上万的虚拟机中选择真正的和安全的虚拟机(VM)是实现更高精度的资源分配的主要挑战之一。本文结合虚拟机优化技术,即匹配算法、内存感知虚拟机和布谷鸟技术,从云中选择最佳和安全的虚拟机。在提出的技术中,将前两者结合起来选择最佳VM,其中cuckoo用于向最佳VM提供优化的资源。在从上述技术中选择最佳VM时,必须选择安全的VM,以在资源分配过程中获得最优结果。为了选择安全虚拟机,采用基于签名的检测和安全计数器对网络流量进行分析,并对数据交易进行监控。
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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来源期刊
International Journal of Enterprise Network Management
International Journal of Enterprise Network Management Business, Management and Accounting-Management of Technology and Innovation
CiteScore
0.90
自引率
0.00%
发文量
28
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