UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 9 | September 2025

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Published in:

Volume 6 Issue 3
March-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1903027


Registration ID:
199285

Page Number

171-178

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Title

Virtual Machine Extrospection: A Reverse Information Retrieval in Clouds

Abstract

In a virtualized situation, it isn't hard to recover visitor OS data from its hypervisor. Be that as it may, it is trying to recover data in the turnaround heading, i.e., recover the hypervisor data from inside a visitor OS, which remains an open issue and has not yet been thoroughly considered previously. In this paper, we step up and think about this switch data recovery issue. Specifically, we examine how to decide the host OS portion form from inside a visitor OS. We see that cutting-edge product hypervisors present new highlights and bug settles in pretty much every new discharge. Consequently, via cautiously examining the seven-year advancement of Linux KVM improvement (counting 3485 patches), we can recognize 19 highlights and 20 bugs in the hypervisor perceivable from inside a visitor OS. Expanding on our location of these highlights and bugs, we present a novel structure called Hyper probe that out of the blue empowers clients in a visitor OS to naturally identify the basic host OS portion form shortly. We actualize a model of Hyperprobe and assess its adequacy in six certifiable mists, including Google Compute Engine (a.k.a. Google Cloud), HP Helion Public Cloud, ElasticHosts, Joyent Cloud, CloudSigma, and VULTR, just as in a controlled testbed condition, all yielding promising outcomes.

Key Words

Virtualization, Hypervisor, Extrospection, Linux, KVM.

Cite This Article

"Virtual Machine Extrospection: A Reverse Information Retrieval in Clouds", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.171-178, March-2019, Available :http://www.jetir.org/papers/JETIR1903027.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Virtual Machine Extrospection: A Reverse Information Retrieval in Clouds", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp171-178, March-2019, Available at : http://www.jetir.org/papers/JETIR1903027.pdf

Publication Details

Published Paper ID: JETIR1903027
Registration ID: 199285
Published In: Volume 6 | Issue 3 | Year March-2019
DOI (Digital Object Identifier):
Page No: 171-178
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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