The main aim of this project is focused on
collecting the system logs (CPU usage, memory usage,
resource utilization, etc.) which is designed to be used on
scalable virtualized environment. For collecting the logs
from the hosts and the virtual machines, a performance
manager program is used which is written in java using
VMware infrastructure API and these hosts are placed on
the ESXi hypervisor which is used as server, it is of the
type bare metal/type1 hypervisor. This is connected to the
vCenter and it gathers the logs from the hosts and the
virtual machines. The logs from every VM and host are
written into discrete text records appended with the name
of those machines. The system is intended to accumulate
the insights uncertainly, until it is disturbed on manually.
The statistical factors that are gathered which identifies the
workloads on the machines are stored in the scalable
database called MsSQL( Microsoft SQL Server) which
contains both historical as well as transactional data, and
then these real time statistics is consolidated and displayed
in the form of graphs visually by using the visualization
tool like solarwinds etc.
Published In:IJCSN Journal Volume 5, Issue 4
Date of Publication : August 2016
Pages : 682-686
Figures :03
Tables : --
Meghana S : PG Student, Department of CS&E, Channabasaveshwara Institute Of Technology,
TUMKUR India.
Monika M : Assistant Professor Department of CS&E, Channabasaveshwara Institute Of Technology,
TUMKUR, India.
Virtualization, VmwareEsxi, Vcenter, Vclient,
DPM
In today’s IT filed it is difficult to manage virtual
machines and hosts. Enterprises have hundreds and
thousands of virtual machines. Performance analysis of
all hosts and virtual machines is very difficult. To
analysis the performance, resource utilization, memory
utilization of all hosts and VM’s tool called Solarwinds
virtualization manager is used. By using solarwinds tool
detail analysis can be done on each aspects of VM’s and
hosts and graphical representation can be obtained for
better view and analysis. Detailed statistics will
generated for every VM’s and host logs i.e. login time,
resource utilized, performance, memory utilization etc..
The final conclusion of these theses is better analysis
will done of every VM’s and hosts. The detail statistics,
report and graph generated will be export to IT
managers. This will help them to improve the efficiency
and performance of host and VM’s by using these
documents.
[1] Durairaj. M, Kannan.P “A Study On Virtualization
Techniques And Challenges In Cloud Computing” in
international journal of scientific & technology
research volume 3, issue 11, November 2014.
[2] NedeljkoVasi, DejanNovakovi, Svetozar,
DejanKosti, and Ricardo Bianchini “Transparently
Identifying and Managing Performance
Interference in Virtualized Environments” in
USENIXFederated Conferences Week June24-28,
2013
[3] Maria Andleeb Siddiqui, Hammad Kamal “A
Proposed Approach for Deploying Network
Attached Storage by Configuring Virtual Switch In
ESXi” in International Journal of Scientific &
Engineering Research, Volume 5, Issue 6, June-2014
[4] Eden Sequeira1 ; Karishma S. Kumar2 “A Survey
on Secure Virtualization for Cloud Computing” in
International Journal of Software & Hardware
Research in Engineering ISSN-2347-4890 Volume 3
Issue 7 July, 2015
[5] Rajesh Bose, Debabrata Sarddar “A Mobile Cloud
Computing Architecture with Easy Resource
Sharing” in International Journal of Current
Engineering and Technology 2014
[6] Jeffrey S. Chase, Darrell C. Anderson, Prachi N.
Thakar, Amin M. Vahdat Department of Computer
Science Duke University “Managing Energy and
Server Resources in Hosting Centers”
[7] Xiaorui Wang “ server farms face 2 critical
difficulties” in 2013
[8] SayaleeNarkhede1 ,Tripti Baraskar2 “Sayalee
Narkhede1 , Tripti Baraskar2 “International Journal
of UbiComp (IJU), Vol.4, No.3, July 2013
[9] S. Alspaugh, Beidi Chen , Jessica Lin ,
ArchanaGanapathi Splunk Inc. Marti A. Hearst
Randy Katz “Analyzing Log Analysis: An
Empirical Study of User Log Mining”
[10] S. Alspaugh, ArchanaGanapathi, Marti A. Hearst, Randy
Katz “Better Logging to Improve Interactive Data
Analysis Tools” in University of California,
Berkeley alspaugh@eecs.berkeley.edu
[11] Praveen G, Prof. Vijayrajan “Analysis of
Performance in the Virtual Machines Environment”
in International Journal of Advanced Science and
Technology Vol. 32, July, 2011
[12] Fabr´icioBenevenuto ,C´esar Fernandes1, Matheus
Santos “Performance Models for Virtualized
Applications”.
