Data Partitioning Technique In Cloud: A Survey On Limitation And Benefits

Parisha .et.al. Int. Journal of Engineering Research and Application www.ijera.com
ISSN : 2248-9622, Vol. 7, Issue 4, ( Part -6) April 2017, pp.69-75
www.ijera.com DOI: 10.9790/9622-0704066975 69 | P a g e
Data Partitioning Technique In Cloud: A Survey On Limitation
And Benefits
Parisha1
, Pooja Khanna2
, Puneet Sharma3
, Sheenu Rizvi4
Department of Computer Science & Engineering, Amity University, Lucknow
ABSTRACT
In recent years,increment in the growth and popularity of cloud services has lead the enterprises to an increase in
the capability to handle, store and retrieve critical data. This technology access a shared group of configurable
computing resources, which are- servers,storage and applications. Cloud computing is a succeeding generation
architecture of IT enterprise, which convert the application software and databaseto large data hubs.Data
security and storage of data is an essential functionality of cloud services.It allows data storage in the cloud
server efficiently without any worry. Cloud services includes request service, wide web access, measured
services, just single click away ,easy usage, just pay for the services you use and location independent.All these
features poses many security challenges.The data partitioning techniques are used in literature, for privacy
conserving and security of data, using third party auditor (TPA). Objective of the current workis to review all
available partitioning technique in literature and analyze them. Through this work authors will compare and
identify the limitations and benefits of the available and widely used partitioning techniques.
Keywords: Cloud Computing, Cloud Security, Cloud Storage,Partitioning Technique, Third Party Auditor.
I. INTRODUCTION
Cloud computing is a technology that is
based on internet in which applications, files and
various resources are easily retrieved and pooled by
the users over the web in efficient and flexible
manner[2]. Cloud computing runs service models
which are-Platform as a service(PaaS),Software as
a service(SaaS) and Infrastructure as a
service(IaaS) and the deployment models are-
private cloud,public cloud and hybrid cloud. The
benefits of cloud computing makes it more popular
which are on request service,wide web
access,measured services,just single click
away,easy usage, just pay for the services you use
and location independent[1][2].These advantages
also rise the security threat to data which has to be
coped. The network based connections which are
reliable and their bandwidth makes it easier and
possible that users may access high featurefacilities
from data. It reduces the duty of local systems for
data preservation identically. As anoutcome,
workersare dependent on their cloud service
providers (CSP) for data integrity and accessibility
of data [3][4]. Even though the cloud setups are
much influential and trustworthy than particular
devices, still exist the extensivevariety of both
external and internal risk for Integrity of data.
Instances of data damage occurrences of notable
storage of cloud services seem time to time.
Meanwhile users cannot preserve a local replica of
data, existence of numerous reasonsfor service
provider to behavefaithlessly toward the users
concerning the position of the outsourced
information[5][6][7][8][9]. For example, by
reducing cost to increase the profit edge, CSP can
discard infrequently accessed data without being
noticed in appropriate manner. Likewise, CSP can
effort to hide data damage occurrences to uphold a
status. So, while outsourcing the data in the cloud
is financially striking for the price and difficulty in
data storage, it’s deficient of allowing strong
assertion of integrity and accessibility can hinder
its extensive acceptance bydistinct cloud users [9].
To attain the assurance of cloud information
integrity, accessibility and imposeare the features
of cloud storing service. On behalf of cloud user,
well-organized procedures that allow on request
data accuracy authentication to be designed
[10][11][12][13].Though, the point that users may
not haveextensive physical resistor of information
thatexcludes the straight acceptance of primitives
for the need of data integrity security. The data that
is kept in the cloud can be effortlesslyretrieved and
also modified by the users. Therefore, it is
authoritative to support this additional quality in
the storage of cloud accuracy, by which the storage
scheme design become furtherchallenging [14][15].
Cloud computing offers right to use the data but the
challenges of cloud is to confirm thatapproved
individuals may only access to it. While routine
cloud settings we depend on the third parties to
give verdicts related to data and schemes in various
methods which has been never seen previously in
cloud computing. It is very difficult to have
RESEARCH ARTICLE OPEN ACCESS

Olawale Simon O. A.et.al. Int. Journal of Engineering Research and Application www.ijera.com
suitable schemes to avoid the providers of cloud
consuming client’s data in a manner which has not
got permitted.
Putting data in the cloud allows excessive
suitability to theconsumersas need not to worry
regarding the difficulties in managing hardware
and execution of the technical information. Cloud
storage is a service for developers and client.
Developers are to access and store data in cloud
and client can access the cloud by using client
devices.The resources will be managed by cloud
service provider. Flexibility, increased adeptness ,
scalability, capital overheads and reduced cost are
the benefits of cloud storage and also they able to
remove the data damagehazard [16].In recent times
many work focus in the direction of third party
auditing and remote data integrity testing. Data
integrity testing at untrusted servers is the major
concern with cloud data storage. Another concern
is supportive data procedure for storage of
cloudrequests.To solve the problem of data
integrity testing,many outlines are suggestedwhich
are-unbounded use of queries,high scheme
efficiency and stateless verification etc. [17]. Data
robustness is also an importantnecessity for
effective storage systems. Various suggestions are
there for storing data on servers. A method
tomaintain data robustness is to reproduce a data so
that the replica of the data is stored by every single
server and message can be retrieved easily as long
as the storage server lasts [18].
In cloud system the client put his data on
cloud servers and it is locally maintained. Data
partitioning technique offers security to data and by
which user can avoid local copy of data or
multiplecopies of data. In cloud storage the
architecture of network has different network
entities as represented by Fig 1.
• User: It is anindividual who has huge datato
upload, store, access and retrieve from cloudstorage
and dependenton cloudsystem for storage of data
and their computation.
• Cloud Server (CS): Cloud server is an entity in
which cloud service provider (CSP)manage all the
important data storage services and provides
storage space and has computation resources.
• Third Party Auditor (TPA): It is a TPA, who is
expert in his work and has capabilities and many
responsibilities thatusers may not have. TPA is a
mediator between client and cloud data
storage.TPA is trustworthy to evaluate and uncover
hazard of cloud data storage services on user’s
request. In cloud data storage,user stores the data
througha CSP into a number of sets of cloud
servers in cloud data storage. The user act together
with cloud servers through service provider to
access hisdata. TPA (Third Party Auditor) executes
partitioning of the data which is uploaded by the
user on cloud. [19]
CLOUDSERVICEPROVIDER
OUTSOURCEDATAFILES
SECURITYMESSAGE SECURITYMESSAGE
FLOW FLOW
USER
CLOUDSTORAGE
SERVERS
THIRD
PARTY
AUDITOR
Figure 1: Data storage in cloud
II. LITERATURE SURVEY
In this section various data partitioning
techniquesthat has been used by researches is
analyzed. The data partitioning techniques are used
for privacy conserving and security of data, using
third party auditor (TPA). The focus of the study is
to analyze commonly used comparative schemes
and procedures available in literature for
attainingdata safety and confidentiality. [20]
Qian Wang[21] define an outline that
allows third partyauditor (TPA), on behalf of the
cloud user for building of block tag validation,
Merkle Hash Tree (MHT), is used.MHT is built as
a binary treein which effective and secure
verification of data is done. On the other hand it
containsseveraldisadvantages like third party can
be dishonest or may not be capable to commit
essential functioning outresources
executingpersistentvalidation. This model has three
procedures,a digital signature portion will be done
by the user then the cloud server validates the
information that is stored in the cloud to verify the
management and disturbance in the cloud data.
Later the auditorconfirms the cloud server to
validate and verify the cloud server if the server
was deploying in the data.
Cong Wang, Qian Wang, KuiRen, [1]
define a way ofdistributed storage integrity
auditing mechanism. It acquirescertainbenefits
which are - dynamic data authenticationand
malicious data reformoccurrence. But drawbacks of
thistechniquethat are numerousreplica of data exists

which needs a large memory space so, Data
Integrity is hard toattain.
Himika Parmar, Nancy Nainan [22]
defineanauthorized service technique which
areimage based authentication (IBA) and one time
password, which provide extraordinary way of
security and confidentiality scheme.
Huaqun Wang [23] [24] describe proxy
provable data possession scheme. It has certain
benefits which areeffective user organized
management of data efficient storage. Drawbacks
like Public validation canbe a reason
ofintruder’scrash on information files.It is
examined that how the data storage along with pre
computation token and advanced encryption
standard (AES) algorithm is efficiently stored in
the cloud server. Integrity testing concept is also
used to identify and detect theserver which is not
behaving well considering data adjustment and
error exposure.
C. Wang, Q. Wang [25] describes file
distribution and token pre- computation system.
But the problem is that it has no solution to offer
the files block insertion operation. When block is
inserted it requires lots of shifting of block.
Kiran Gabhale [26] focuses on the
partitioning of datatechnique that is done for data
integrity testing and storageof data scheme that are
presently used in dynamic multi transactional
submission. By The dynamic storage of data with
pre computation token and algorithms like AES, it
examines that how it is efficiently stored in cloud.
Integrity testingidea is used to discover and detect
theserver which is not behaving in proper manner
considering data rectification and error exposure.
To attain the quality of data, integrity,accessibility
of trustworthystoringservices, distributed structure
is used and to perform theseoperation the data
storage scheme with dynamic data operation
method is applied. RSA(Rivest-shamir-Adleman) is
used toencrypt the data for security analysis.It
contains a private and public key. The public key is
known to one and all and it is considered for
encryption of messages. The elementary idea of
this process are generating key for encoding and
decoding of message. For security purpose
encryption method is used to encode the foldersand
files by creating cipher and key producerobject.
Then, by initializing with private key, secret key is
produced using cipher object. Decryption method is
used to decode the folders and files and private key
is created to retrieve and access files from the
cloud. Separate key is generated for every end user
to access the files from any position with
security.Non-shared key is used for file decryption.
After that the partitioning of data is done in
alphabetic manner with the use of index
technique.In this process firstlyit checks in the
folder that, first two letter which is retrieved having
same letter or not. If the letter does not exist in the
folder then create a folder and store that file in that
particular folder. Then encrypt all partition files
with public key and decrypt original file with
private key when need to access. Ensuring secured
data in cloud storage distributed storage scheme is
also used. The analysis of data integrity in cloud
storage is done in research work. Public audit
ability and dynamic data operation are used
toassociate the integrity of data. The main idea of
this effort is to obtainself-determiningperception
and service qualityestimating with the third party
auditor. To improve efficiencyStorage scheme is
planned to support multiple inspectingjobs.
C.selvakumar [27]focuses on data
integritytesting and storage of data scheme that are
presently used in dynamic multi transactional
submission.The dynamic data storage offerfacts
regardingcurrent storage scheme. Datapartitioning
is done inhorizontal and vertical directions
asdiscussedhere. The data is partitioned into
number of buckets and after thatslicing method is
used for storage of data [28][29]. In this work
authorreflectsproducing signature approaches for
confirming the security ofcloud storage. Byusing
the RSA methoddynamic operations are
supported.Integrity of dataand theirexactness that is
stored in cloud is discussed in this method.
Toidentify the accessibility of informationerror
rectification anddata integrity inspection is used in
cloud. Data error recovery and availability of data
mechanisms are not given muchimportance.
Whereas symmetric key cryptography for security
of storage and availability is discussed in [1] with
partitioning scheme. Integrity of remote data
testing has variousstimulating issues in cloud
storage services.
In the survey,ample of the debates and
discussions are linked to theworks, thatcertifies to
contain copy of data in the local
system.Particulardrawback is reduced with the
plannedmethod system in [30].Token pre-
computation token processconfirms data operation
dynamically. Itoffers security to data storage
system.The drawback of this schemeis that
toexecute the processing of dataencoding and
decoding methods for security of data stored in
cloud, it consumesextra cost and time.
Partitioning technique plays
significantpart in this work. When there is a need
arises to access the data the larger files breaks up
into smaller parts for storing the data efficiently.
There is muchtrouble in storing the data in cloud
due to the complexity of data, thusto make it easy
partitioning function is used in cloud. The files
which are partitioned are encrypted along

withPublic key and then those data will be stored in
cloud, while the data is served for storing in cloud
partitioning takes place automatically. When there
is a necessity to retrieve the same data, original
data is also rebuilt [27].
The ideaof third party auditor is manager
and checker who checks between the cloud
datastorage server and machine. Third party auditor
works on the basis of two categories that is public
and private auditability. Public inspectionpermits
anyone, not only approve client but also give the
ultimatum to cloudServerthough storing none
ofsecretive information for the purpose of
exactness of storage data, whereas private
auditability delivers greater efficiency to the client
who isauthorized. Todecrease the effort of data
management of the client the third party auditor
audits the data of client. The auditor has the rights
forattaining financial prudence for cloud
computing; it terminates the link of the user by
checking the information which iswarehoused in
the cloud are essentially together. The audit report
according to the audit which can help client to
compute the threat of the cloud information
resourcesand also it isuseful forservice provider to
expand and recovercloud service policy. Later TPA
give the conformation to client to assure that his
data is safe and secure in the cloud and the overall
managing data is easy and not as much
ofchallenging to client .Clouds has no limitations
so that information may be placedwherever.
Thisfeature of cloud rise different issues
interrelated to user authentication and
dataconfidentiality [31] [32].
TPA uses thehomomorphism authenticator and
random mask technique to assure theuser is
notaware about the exact content of data thatis
warehoused safelyon the serverthroughout
theprocedure of the checking, it eradicates the load
of clientas of the complex and costly inspectingjob
.It also make sure that the user is relieved from the
fear of data leak. TPA can handle multiple audit
sessions at the same time. It will be further
extended into a multi-user set where TPA
mayaccomplish the severalinspectingjobsin a fully
batch method.A cloud-based capacity plot that
permits the information holder to gain from the
offices accessibleby the service provider and build
shared belief among them. The mechanism has
fourcrucial peculiarities [33]:
(i) Itpermits the holder to outsource the
information to a cloud service provider,
andimplementprocedures on the outsourced
information, i.e., piece alteration, Insert,
removal, and attach.
(ii) It gives assurance thatonly permitted
clients get best recent interpretation ofthe
outsourced data.
(iii) Itauthorizesunplanned common belief
between the manager andCSP.
(iv) Itallows the manager to accept or reject all
accessto the outsourceddata.
The security issues in this plan are: The
information has identical copies in the locality
framework. This instrument gives information
stockpiling security. The existing system takes
extratime and expenditureto achieve the element
altering of Information encryption and separating
procedures to store information in cloud [19][34].In
table 1,comparison of different schemes used by
data partitioning technique in cloud data storage
security along with the tools and method, its usage
and the issues with that schemes.
Table 1: Comparison of different schemes used by
data partitioning technique in cloud data storage
security.
SCHEME TOOLS
AND
METHO
D
USE ISSUE
The
scheme of
third party
auditor
(TPA).
[21]
Merkle
Hash
Tree
(MHT).
It is used
for the
constructio
n of block
tag
validation.
The third
party can
be
dishonest
and may
not be able
to commit
constant
verification
.
Data
integrity
and
storage.
[1][26]
Distribut
ed
storage
integrity
auditing
mechanis
m.
Data
verification
and data
modificatio
n.
Method
possess
multiple
copies
which
requires
large
storage
space.
Efficient
data
managem
ent.
[23][24]
Proxy
provable
data
possessio
n
method.
User
controlled
data
manageme
nt.
Intruder
collision on
data files.
Data
integrity
checking
and
storage
mechanis
RSA
algorith
m and
data
partitioni
ng
To avoid
misbehavin
g server
and achieve
integrity
dependable
It consume
extra time
and cost to
execute.

m.
[26][27]
techniqu
e.
storage
services.
Authentic
ation and
identity.[2
2]
Image
based
authentic
ation and
one time
password
.
Used for
high level
security
mechanism
.
Increased
complexitie
s and faced
problem
when
multiple
cloud
service
providers
are there.
III. CONCLUSION AND DISCUSSION
Partitioning technique provides a great advantage
to a wide variety of requests by improving
manageability, availability and performance.
Partitioning is an important tool for building multi-
terabyte structures or systems with tremendously
high availability requirements. This technique can
significantly reduce the total cost of data ownership
by keeping older appropriate information still
online on the low cost storage devices. Efficiency
is another advantage of this technique in which the
records which are used together are grouped
together and each partition is optimized for
performance, recovery and security, it also take the
advantage of parallel processing capability and it
offers detailed advantages to enhance resource
utilization and reduces the execution time.
Partitioning enables an effective, simple, and very
powerful approach when considering information
management for large environments. Having the
advantage of load balancing reduces contention by
storing partitions on different disks [27].It enables
information administration processes such as
information loading, index formation and, backup
and restoration. As an outcome the processes
become more faster. This technique not only
improves the management of the large data centers,
it also permits the medium and smaller range
databases to take preference of its benefits. The
performance level gains enhancement because the
queries can be solved easily [26].
This technique increases the administration
overhead and it is more challenging to create a
consistent snapshot of an application which is
running on different bulks. The method of
partitioning has more chances to waste disk space
and there is a chance that makes incidents
involving disk full. Partitioning of data consumes
more resources and non-transparent partitioning
increases complexities [27].
In this paper, efficient andeffective data storage and
security of data in cloud service is reviewed. The
data partitioning technique allows storing of datain
much easier and efficientway. It reduces the extra
time, space and cost and gives an efficient way for
flexible access of data. Dynamic operation is a key
idea in which encryption and
decryptionproceduremakes the data safe and secure
while storing in cloud and the data integrity testing
avoids all the threats and servers which are not
behaving well ensuring data security.It utilizes the
method of separating the data in a proficient way
and also offers high storage capacity .The
majorbenefit of this technique that it includes the
security and protection of data along with keeping
the integrity of the data conserved. Thestructures
which are different and related to scattering of
encryption and decryption key to access the data
from server. We can determine that in what manner
the data can be proficiently and securely accessed
from the server completely subjected to
theproportion of the secret key that is the reduced
size of the secret key the minornecessity of space.
Further, forthcoming work is scheduled to offer
advanced way of security, storage space and
examiningschemes for computation of outsourced
data in cloud.
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Access in Cloud Computing”,
ComputerScience and Information
Systems Group, Birla Institute of
Technology and Science-Pilani.

Data Partitioning Technique In Cloud: A Survey On Limitation And Benefits

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