Transforming the Data into Virtual Set Up Segmented usage and Adoption

International Journal of Trend in Scientific Research and Development (IJTSRD)
Volume: 3 | Issue: 3 | Mar-Apr 2019 Available Online: www.ijtsrd.com e-ISSN: 2456 - 6470
@ IJTSRD | Unique Paper ID – IJTSRD23094 | Volume – 3 | Issue – 3 | Mar-Apr 2019 Page: 856
Transforming the Data into Virtual
Set-Up Segmented usage and Adoption
Dr. R. Poorvadevi
Assistant Professor, CSE Department, SCSVMV University, Kanchipuram, Tamil Nadu, India
How to cite this paper: Dr. R.
Poorvadevi "TransformingtheDatainto
Virtual Set-Up Segmented usage and
Adoption" Published in International
Journal of Trend in Scientific Research
and Development
(ijtsrd), ISSN: 2456-
6470, Volume-3 |
Issue-3 , April 2019,
pp.856-858, URL:
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ABSTRACT
In digitalized environment, heterogeneous users are host and deploy their
applications as a digital transformation. As the growing of dynamic business
requirements, the operational values of service level agility, scaling and
availability of resources are the more focusing components. However,
enterprises are needed to deliver the data with atmost desired security value to
its genuineness users. All the client level processes are initiated by verifying the
strong security level access parameters. So, it is important to process the data
migration with the adopted cloud vendors. Lots of securitybreachesarecausing
the data level protection in the service access environment. The proposed work
will implement the secured transformation user’s data, applications, and
resources to the desired virtual set-up in order to strengthen the customer’s
application. The approach will be used to finding the service adoption by
verifying the level of service guaranty with the cloud vendor adoption.
KEYWORDS: Data migration, Cloud adoption, cloud vendor, data segmentation,
cloud service provider, Virtual set-up, cloud client, Security breaches.
1. Introduction
Cloud framework has the challenges for fundamentals of
security which are isolation and segmentation. Moving
applications and data from fully self-controlled to third
party-controlled realms poses a significant cyber security
concern to most enterprises. IT and security teams
rigorously assess applications on a case by case basis before
they are moved to the cloud – especially applications which
create, process, and store sensitive data. As a best practice
for cloud adoption, the less criticalapplicationsaremoved to
the cloud first, with the assumption that this reduces the
security risk and allows gaining experience..Attackerstoday
use sophisticated techniques, not only to steal data, but also
to compromise the systems to create bot networks. This
eventually robs the enterprise with excessive cloud billing
and potentially opens the door to access more sensitive
applications which are on-premise. These are some of the
reasons why cloud adoption is a slow and carefulprocessfor
most enterprises.
2. Literature Study
An author Paulo Rupino da Cunha, et.al, “Avoiding Lock-In:
Timely Reconfiguration of a virtual cloud Platformon Topof
Multiple PaaS and IaaS Providers”. This paper has mainly
focused on virtual cloud platform creation for multiple level
of PaaS and IaaS service provider. All the lock-incontrols are
reconfigured with cloud underlying architecture. [1]
Zhengping Liang et.al, “Security of virtual working
on cloud computing platform”. This paper has implemented
the security metrics for the various cloud user applications.
Determined the virtual set-up process for all the cloud
service provider data sources. [2]
Pongsakorn U-chupala et. al, “An implementation of a multi-
site virtual cluster cloud”. This paper proposed a novel
approach of multi site user application transformed to the
virtual cluster groups by specifying the access level policies,
data protection in the service platform.[3]
So, from the analysis of background work all the security
level implementations were considered and processed into
the different cloud adoption. There arenospecificstandards,
access policies are formed for the data migration.
3. Proposed Work
Accelerating the cloudapplicationtothemicrosegmentation
will process the application, data level functions the digital
transformation level to mitigate the security policies with
the compromising security parametric values. The various
client service specific applications were examinedunderthe
machine –critical applications and finding the enterprises to
secure the entire client level resources tobesegmented with
the cloud user adoption level. External threats also to be
IJTSRD23094

International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID - IJTSRD23094 | Volume – 3 | Issue – 3 | Mar-Apr 2019 Page: 857
notified with the security perimeter control to process and
regulate the traffic between the access policies. Internal
networks, technologies are combined with the data
segmentation policy level to produce the application
migration and content specific process over the
transformation levels.
The following are the needs for transforming data to the
virtual setup for the cloud user and enterprise applications
which is listed below:
Modernize Current IT asset base
Prepare for future needs
Lower infrastructure costs
Increase Business agility
Disaster Recovery Security
The major concern for transformation of data to the virtual
setup is data gravity. The cloud infrastructure will explicitly
specify the data abstraction for the user applications.
Integration of business segments to the varioususergroups.
It also finds the customized time factor for transforming of
any client level resources to the virtual environment.
Fig: 1 proposed system architecture
An above diagram will (fig1) depicts the functional process
of iterating the applications and client’s data in the
virtualized environment. All the genericprocesswillanalyze
the micro level segmentation task in thecloud infrastructure
platform to specify the level of segmented data usage.
4. Implementation Work
Customizing the data integration among the cloud vendors
will specify to locate the users application in the secured
platform by maintaining the data management policies and
application mobility and also improving the governance.
The main issue is that every application complicates data
management by introducing elements of application logic
into the data management tier, and each one is indifferentto
the next data use case. Business processes use data in
isolation and then output their own formats, leaving
integration for the next process. Therefore, application
design, data architecture, and business processes must all
respond to each other, but often one of these groups is
unable or unwilling to change. This forces application
administrators to sidestep ideal and simple workflows,
resulting in suboptimal designs. And, although the
workaround may have been necessary at the time, this
technical debt must eventually be addressed during data
migration or integration projects
Fig: 2 Process of Data migration in Virtual set-up
All the generic process is built on the application
environment and identification of client level security
parameters are evaluated with the virtual key ID values.
However, entire transaction of client’s information is also
migrated with the specific cloud vendor platform. The
following are the various strategicprocessesareverified and
demonstrated in the virtualized environment. The key
logger’s data has been identified by encrypting the correct
key values in the client access platform. The following table
shows the sample identified results for the application
transformation to the virtual setup which is listed below:
Service
Process ID
Migrated
Environment
Cloud
adoption
status
Process
efficiency
(%)
ID –709 AWS Processd 89.23
ID - 15.267 GAE optimizd 94.3
ID - 53.083 Sales force verified 97.16
ID –67.1
Microsoft
Azure cloud
processd 99.03
ID –48.2 EC2 Processd 99.42
Table: 1 depicting the migration process outcome
The above table process the significant role of application
migration to the requested user access zone. All the generic
processes are evaluated under the desired service
environment. This table show that, how the migration has
taken place for the various service access platforms.
5. Experimental Results
The user application process isdemonstratedfor the various
migration policies to evaluate the service migrationprocess.
Segmented data has been adapted to the cloud vendor
location and process the migration level access constraints
along the service environment.Toenabletheserviceprocess
for the various cloud user applications virtualized
environment credentials are investigated with the specific
user level access information.
Fig: 3 Process of Transformation of user application to the
virtual environment

International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID - IJTSRD23094 | Volume – 3 | Issue – 3 | Mar-Apr 2019 Page: 858
6. Conclusion
From the migration perspective all the user access level
constraints are verified for the applications transformation
to the virtualized environment. All the security components
are iterated with the specific functional parameters for
segmenting the data into the concern and schematic cloud
adoption mechanism.
References:
[1] Paulo Melo ; Catarina FerreiradaSilva, :AvoidingLock-
In: Timely Reconfiguration of a virtual cloud Platform
on Top of Multiple PaaS and IaaS Providers”,
International conference on Cloud Computing, Year:
2013, Pages: 970 – 971
[2] ZhengpingLiang ; SongsongJia ; JianyongChen ; Pengfu
Chen, “Security of virtual working on cloud computing
platform”,2012 IEEE Asia Pacific cloud Computing
Congress (APCloudCC),Year: 2012, Pages: 72 – 75
[3] Pongsakorn U-chupala ; Putchong Uthayopas ; Kohei
Ichikawa ; Susumu Date ; Hirotake Abe, “An
implementation of a multi-site virtual cluster cloud ”,
The 2013 10th International Joint Conference on
Computer Science and Software Engineering (JCSSE),
Year: 2013, Pages: 155 - 159
[4] Qi Zhang ; Ling Liu ; Calton Pu ; Qiwei Dou ; Liren
Wu ; Wei Zhou, “A Comparative Study of Containers
and virtual Machines in Big Data Environment”,2018
IEEE 11th International Conference on
Cloud Computing (CLOUD), Year: 2018, Pages: 178 –
185
[5] Subhadra Bose Shaw ; Jay Prakash Kumar ; AnilKumar
Singh, “Energy-performance trade-off through
restricted virtual machine consolidation in cloud data
center”, 2017 International Conference on Intelligent
Computing and Control (I2C2), Year:2017, Pages: 1 – 6
[6] Fanqiang ; Xiaoxia Xu ; Libo cui, “The research about
modeling technology of irregular virtual reality scene
based on point cloud data”, 2010 International
Conference on Computer Application and System
Modeling (ICCASM 2010), Year: 2010 , Volume: 6
Pages: V6-538 - V6-541
[7] D. Maria Manuel Vianny ; M. Aramudhan ; G.
Ravikumar, “Effective binary cuckoo search
optimization based cloud brokering mechanism
on cloud”, 2017 International Conference on IoT and
Application (ICIOT), Year: 2017, Pages: 1 - 8

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