Hypervisors’ Guest Isolation Capacity Evaluation in the Private Cloud Using SIAGR Framework
Author(s) -
P. Vijaya Vardhan Reddy,
Lakshmi Rajamani
Publication year - 2015
Publication title -
international journal of information technology and computer science
Language(s) - English
Resource type - Journals
eISSN - 2074-9015
pISSN - 2074-9007
DOI - 10.5815/ijitcs.2015.04.06
Subject(s) - hypervisor , operating system , virtualization , computer science , cloud computing , isolation (microbiology) , virtual machine , overhead (engineering) , embedded system , microbiology and biotechnology , biology
Hypervisor vendors do claim that they have negated\udvirtualization overhead compared to a native system. They also\udstate that complete guest isolation is achieved while running\udmultiple guest operating systems (OSs) on their hypervisors.\udBut in a virtualization environment which is a combination of\udhardware, hypervisor and virtual machines (VMs) with guest\udoperating systems, there bound to be an impact on each guest\udoperating system while other guest operating systems are fully\udutilizing their allotted system resources. It is interesting to study\udhypervisor‟s guest isolation capacity while several guest\udoperating systems running on it. This paper selected three\udhypervisors, namely ESXi 4.1, XenServer 6.0 and KVM\ud(Ubuntu 12.04 Server) for the experimentation. The three\udhypervisors are prudently preferred as they represent three\uddifferent categories (full virtualized, para-virtualized, and\udhybrid virtualized). Focus being on hypervisors‟ guest isolation\udcapacity evaluation, therefore, private cloud is chosen over\udpublic cloud as it has fewer security concerns. Private Cloud is\udcreated using apache‟s CloudStack. Windows 7 OS is deployed\udas a guest VM on each hypervisor and their guest isolation\udcapacity is evaluated for CPU and Network performances
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