MITS6001: Analysis of Cloud Computing Research Paper and Review

This report reviews the research article "Cloud Computing – Research Issues, Challenges, Architecture, Platforms and Applications: A Survey" published in the International Journal of Future Computer and Communication. The article explores cloud computing architecture, comparing it with grid computing and detailing SaaS, PaaS, IaaS, and DaaS models. It discusses various cloud platforms like Abicloud, Eucalyptus, Nimbus, and OpenNebula, comparing their features. The paper also highlights cloud computing applications such as data storage and data sharing and addresses challenges in cloud adoption, security, and interoperability. The architectural components, including SaaS, PaaS, and IaaS, are defined, and a comparison between cloud and grid computing is provided. The article concludes by emphasizing the need for further research, particularly in cloud interoperability, security, and privacy.

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Abstract—Cloud computing is the development of parallel
computing, distributed computing, grid computing and
virtualization technologies which define the shape of a new era.
Cloud computing is an emerging model of business computing.
In this paper, we explore the concept of cloud architecture and
compares cloud computing with grid computing. We also
address the characteristics and applications of several popular
cloud computing platforms. In this paper, we aim to pinpoint
the challenges and issues of cloud computing. We identified
several challenges from the cloud computing adoption
perspective and we also highlighted the cloud interoperability
issue that deserves substantial further research and
development. However, security and privacy issues present a
strong barrier for users to adapt into cloud computing systems.
In this paper, we investigate several cloud computing system
providers about their concerns on security and privacy issues.
Index Terms— Cloud computing, architecture, challenges,
cloud platforms, research issues.
I. INTRODUCTION
Cloud computing is a complete new technology. It is the
development of parallel computing, distributed computing
grid computing, and is the combination and evolution of
Virtualization, Utility computing, Software-as-a-Service
(SaaS), Infrastructure-as-a-Service (IaaS) and
Platform-as-a-Service (PaaS). Cloud is a metaphor to
describe web as a space where computing has been pre
installed and exist as a service; data, operating systems,
applications, storage and processing power exist on the web
ready to be shared. To users, cloud computing is a
Pay-per-Use-On-Demand mode that can conveniently access
shared IT resources through the Internet. Where the IT
resources include network, server, storage, application,
service and so on and they can be deployed with much quick
and easy manner and least management and also interactions
with service providers. Cloud computing can much improve
the availability of IT resources and owns many advantages
over other computing techniques. Users can use the IT
infrastructure with Pay-per-Use-On-Demand mode; this
would benefit and save the cost to buy the physical resources
that may be vacant.
Organization. The rest of the paper is organized as
follows: In Section II, we define architectural components
such as Software as a Service (SaaS), Platform as a Service
(PaaS), Infrastructure as a Service (IaaS) and Data as a
Service (DaaS). Then, we compare cloud and grid computing
Manuscript received April 20, 2012; revised June 8, 2012.
The authors are with the Graphic Era University, Dehradun, India (e-mail:
sbharti1984@ gmail.com, rhgoudar@ gmail.com).
in Section III and explain some popular cloud computing
platforms in Section IV. In Section V, we include few
applications of cloud computing. We further explained about
issues and challenges of cloud computing in Section VI, VII
and VIII. Finally, we conclude in Section IX.
II. ARCHITECTURAL COMPONENTS
Cloud service models are commonly divided into SaaS,
PaaS, and IaaS that exhibited by a given cloud infrastructure.
It’s helpful to add more structure to the service model stacks:
Fig. 1 shows a cloud reference architecture [13] that makes
the most important security-relevant cloud components
explicit and provides an abstract overview of cloud
computing for security issue analysis.
Fig. 1. The cloud reference architecture.
A. Software as a Service (SaaS)
Cloud consumers release their applications in a hosting
environment, which can be accessed through networks from
various clients (e.g. Web browser, PDA, etc.) by application
users. Cloud consumers do not have control over the cloud
infrastructure that often employs multi-tenancy system
architecture, namely, different cloud consumers' applications
are organized in a single logical environment in the SaaS
cloud to achieve economies of scale and optimization in
terms of speed, security, availability, disaster recovery and
maintenance. Examples of SaaS include SalesForce.com,
Google Mail, Google Docs, and so forth.
B. Platform as a Service (PaaS)
PaaS is a development platform supporting the full
“Software Lifecycle” which allows cloud consumers to
develop cloud services and applications (e.g. SaaS) directly
on the PaaS cloud. Hence, the difference between SaaS and
PaaS is that SaaS only hosts completed cloud applications
whereas PaaS offers a development platform that hosts both
Cloud Computing – Research Issues, Challenges,
Architecture, Platforms and Applications: A Survey
Santosh Kumar and R. H. Goudar
International Journal of Future Computer and Communication, Vol. 1, No. 4, December 2012
356DOI: 10.7763/IJFCC.2012.V1.95

completed and in-progress cloud applications. This requires
PaaS, in addition to supporting application hosting
environment, to possess development infrastructure
including programming environment, tools, configuration
management, and so forth. An example of PaaS is Google
AppEngine.
C. Infrastructure as a Service (IaaS)
Cloud consumers directly use IT infrastructures
(processing, storage, networks and other fundamental
computing resources) provided in the IaaS cloud.
Virtualization is extensively used in IaaS cloud in order to
integrate/decompose physical resources in an ad-hoc manner
to meet growing or shrinking resource demand from cloud
consumers. The basic strategy of virtualization is to set up
independent virtual machines (VM) that are isolated from
both the underlying hardware and other VMs. Notice that this
strategy is different from the multi-tenancy model, which
aims to transform the application software architecture so
that multiple instances (from multiple cloud consumers) can
run on a single application (i.e. the same logic machine). An
example of IaaS is Amazon's EC2.
D. Data as a Service (DaaS)
The delivery of virtualized storage on demand becomes a
separate Cloud service - data storage service. Notice that
DaaS could be seen as a special type IaaS. The motivation is
that on-premise enterprise database systems are often tied in a
prohibitive upfront cost in dedicated server, software license,
post-delivery services and in-house IT maintenance. DaaS
allows consumers to pay for what they are actually using
rather than the site license for the entire database. In addition
to traditional storage interfaces such as RDBMS and file
systems, some DaaS offerings provide table-style
abstractions that are designed to scale out to store and retrieve
a huge amount of data within a very compressed timeframe,
often too large, too expensive or too slow for most
commercial RDBMS to cope with. Examples of this kind of
DaaS include Amazon S3, Google BigTable, and Apache
HBase, etc.
III. COMPARISION BETWEEN CLOUD AND GRID COMPUTING
A comparison [6] can be summaries as follows:
1) Construction of the grid is to complete a specified task,
such as biology grid, Geography grid, national
educational grid, while Cloud computing is designed to
meet general application and there are not grid for a
special field.
2) Grid emphasizes the “resource sharing” to form a virtual
organization. Cloud is often owned by a single physical
organization (except the community Cloud, in this case,
it is owned by the community), who allocates resources
to different running instances.
3) Grid aims to provide the maximum computing capacity
for a huge task through resource sharing. Cloud aims to
suffice as many small-to-medium tasks as possible based
on users’ real-time requirements. Therefore,
multi-tenancy is a very important concept for Cloud
computing.
4) Grid trades re-usability for (scientific) high performance
computing. Cloud computing is directly pulled by
immediate user needs driven by various business
requirements.
5) Grid strives to achieve maximum computing. Cloud is
after on-demand computing – Scale up and down, in and
out at the same time optimizing the overall computing
capacity.
IV. POPULAR CLOUD COMPUTING PLATFORMS
A. AbiCloud
Abicloud [5] is a cloud computing platform, It can be used
to build, integrate and manage public as well as private cloud
in the homogeneous environments. Using Abicloud, user can
easily and automatically deploy and manage the server,
storage system, network, virtual devices and applications and
so on. The main difference between Abicloud and other
cloud computing platforms is its powerful web-based
management function and its core encapsulation manner.
Using the Abicloud, user can finish deploying a new service
by just dragging a virtual machine with mouse. This is much
easier and flexible than other cloud computing platforms that
deploy new services through command lines.
Abicloud can be used to deploy and implement private
cloud as well as hybrid cloud according to the cloud
providers’ request and configuration. It can also manage EC2
according to the rules of protocol. Besides, apply the
Abicloud, a whole cloud platform based on Abicloud can be
packed and redeployed at any other Abicloud platform. This
is much helpful for the transformation of the working
environment and will make the cloud deployment process
much easier and flexible.
B. Eucalyptus
Eucalyptus (Elastic Utility Computing Architecture for
Linking Your Programs to Useful Systems) [5] mainly was
used to build open-source private cloud platform. Eucalyptus
is an elastic computing structure that can be used to connect
the users' programs to the useful systems, it is an open-source
infrastructure using clusters or workstation implementation
of elastic, utility, cloud computing and a popular computing
standard based on a service level protocol that permit users
lease network for computing capability.
Currently, Eucalyptus is compatible with EC2 from
Amazon, and may support more other kinds of clients with
minimum modification and extension.
C. Nimbus
Nimbus [5] is an open tool set and also a cloud computing
solution providing IaaS. It permits users lease remote
resources and build the required computing environment
through the deployment of virtual machines.
Generally, all these functional components can be
classified as three kinds. One kind is client- supported
modules which are used to support all kinds of cloud clients.
Context client module, cloud client module, reference client
module and EC2 client module are all belonging to this kind
of component. The second kind of component is mainly
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357

service-supported modules of cloud platform, providing all
kinds of cloud services. It includes a context agent module,
web service resource framework module, EC2 WSDL
module and a remote interface module. The third kind of
component is the background resource management modules
which are mainly used to manage all kinds of physical
resources on the cloud computing platform, including work
service management module, IaaS gateway module, EC2 and
other cloud platform support module, workspace pilot
module, workspace resource management module and
workspace controller.
D. OpenNebula
OpenNebula [5] is also an open source cloud service
framework. It allows user deploy and manage virtual
machines on physical resources and it can set user’s data
centers or clusters to flexible virtual infrastructure that can
automatically adapt to the change of the service load. The
main difference of OpenNebula and nimbus is that nimbus
implements remote interface based on EC2 or WSRF through
which user can process all security related issues, while
OpenNebula does not. OpenNebula is also an open and
flexible virtual infrastructure management tool, which can
use to synchronize the storage, network and virtual
techniques and let users dynamically deploy services on the
distributed infrastructure according to the allocation
strategies for data center and remote cloud resources.
Through the interior interfaces and OpenNebula data center
environment, users can easily deploy any types of clouds.
TABLE I: THE COMPARISION OF SERVER CLOUD COMPUTING PLATFORMS [5]
Abicloud Eucalyptus Nimbus OpenNebula
Cloud
Character
Public/private Public Public Private
Scalability Scalable Scalable Scalable Dynamic, Scalable
Clouds form IaaS IaaS IaaS IaaS
Compatibility Not support EC2 Support EC2, S3 Support EC2 Open, multi-platform
Deployment Pack and redeploy Dynamical deployment Dynamical deployment Dynamical deployment
Deployment
Manner
Web interface drags Command line Command line Command line
Transplant-ability Easy Common Common Common
VM support Virtual Box, Xen, VMware,
VM
Xen, VMware, KVM Xen Xen, VMware
Web interface Libvirt Web service EC2, WSDL, WSRF libvirt, OCCI, EC2, API
Structure Open platform encapsulates
core
Module Lightweight components Module
Reliability - - - Rollback host and VM
OS support Linux Linux Linux Linux
Development language Ruby, c++, python Java Java, python Java
V. APPLICATIONS
There are a few applications of cloud computing [4] as
follows:
1) Cloud computing provides dependable and secure
data storage center.
2) Cloud computing can realize data sharing between
different equipments.
3) The cloud provides nearly infinite possibility for
users to use the internet.
4) Cloud computing does not need high quality
equipment for the user and it is easy to use.
VI. ISSUES IN CLOUD COMPUTING
More and more information on individuals and companies
is placed in the cloud; concerns are beginning to grow about
just how safe an environment it is? Issues of cloud computing
[3] can summarize as follows:
A. Privacy
Cloud computing utilizes the virtual computing
technology, users’ personal data may be scattered in various
virtual data centers rather than stay in the same physical
location, users may leak hidden information when they are
accessed cloud computing services. Attackers can analyze
the critical task depend on the computing task submitted by
the users.
B. Reliability
The cloud servers also experience downtimes and
slowdowns as our local server.
C. Legal Issues
Worries stick with safety measures and confidentiality of
individual all the way through legislative levels.
D. Compliance
Numerous regulations pertain to the storage and use of
data requires regular reporting and audit trails. In addition to
the requirements to which customers are subject, the data
centers maintained by cloud providers may also be subject to
compliance requirements.
E. Freedom
Cloud computing does not allow users to physically
possess the storage of the data, leaving the data storage and
control in the hands of cloud providers.
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F. Long- Term Viability
You should be sure that the data you put into the cloud will
never become invalid even your cloud computing provider
go broke or get acquired and swallowed up by a larger
company.
G. Issues in Cloud Interoperability
1) Intermediary Layer
A number of recent works address the interoperability
issue by providing an intermediary layer between the cloud
consumers and the cloud-specific resources (e.g. VM).
2) Open Standard
Standardization appears to be a good solution to address
the interoperability issue. However, as cloud computing just
starts to take off, the interoperability problem has not
appeared on the pressing agenda of major industry cloud
vendors.
3) Open API
SUN has recently launched the Sun Open Cloud Platform
[10] under the Creative Commons license. A major
contribution of this platform is the proposed (in-progress) the
cloud API. It defines a set of clear and easy-to-understand
RESTful Web services interfaces, through which cloud
consumers are able to create and manage cloud resources,
including compute, storage, and networking components in a
unified way.
4) SaaS and PaaS Interoperability
While the aforementioned solutions generally tackle with
IaaS interoperability problems, SaaS interoperability often
involves different application domains such as ERP, CRM,
etc. A group of experts in the field of data mining raises the
issue of establishing a data mining standard on the cloud,
with a particular focus on “the practical use of statistical
algorithms, reliable production deployment of models and
the integration of predictive analytics” across different data
mining-based SaaS clouds.
PaaS interoperability not yet discovered Since PaaS
involves the entire software development life-cycle on the
cloud, it would be more difficult to reach the uniformity with
regards to the way consumers develop and deploy cloud
applications.
VII. CHALLENGES ON CLOUD ADOPTION PERSPECTIVE
Based on a survey conducted by IDC in 2008[1]
A. Security
Well-known security issues such as data loss, phishing,
botnet (running remotely on a collection of machines) pose
serious threats to an organization's data and software. The
multi - tenancy model and the pooled computing resources on
cloud computing has introduced new security challenges
such as shared resources (hard disk, data, VM) on the same
physical machine invites unexpected side channels between a
malicious resource and a regular resource. And, the issue of
“reputation fate-sharing” will severely damage the reputation
of many good Cloud “citizens” who happen to, unfortunately,
share the computing resources with their fellow tenant - a
notorious user with a criminal mind. Since they may share the
same network address, any bad conduct will be attributed to
all the users without differentiating real subverters from
normal users.
B. Costing Model
Cloud consumers must consider the tradeoffs amongst
computation, communication, and integration. While
migrating to the Cloud can significantly reduce the
infrastructure cost, it does raise the cost of data
communication.
C. Charging Model
From a cloud provider's perspective, the elastic resource
pool (through either virtualization or multi-tenancy) has
made the cost analysis a lot more complicated than regular
data centers, which often calculates their cost based on
consumptions on static computing.
D. Service Level Agreement
It is vital for consumers to obtain guarantees from
providers on service delivery. Typically, these are provided
through Service Level Agreements (SLAs) negotiated
between the providers and consumers.
VIII. SECURITY AND PRIVACY ISSUE
Cloud computing can provide infinite computing resources
on demand due to its high scalability in nature, which
eliminates the needs for Cloud service providers to plan far
ahead on hardware provisioning. Many companies, such as
Amazon, Google, Microsoft and so on, accelerate their paces
in developing cloud computing systems and enhancing its
services providing to a larger amount of users.
In this paper, we investigate the security and privacy
concerns of current cloud computing systems provided by an
amount of companies. As cloud computing refers to both the
applications delivered as services over the Internet and the
infrastructures (i.e., the hardware and systems software in the
data centers) that provide those services.
Based on the investigation security and privacy concerns
provided by companies nowadays are not adequate, and
consequently result in a big obstacle for users to adapt into
the cloud computing systems. Hence, more concerns on
security issues, such as availability, confidentiality, data
integrity, control, audit and so on, should be taken into
account.
A. Security on Demand
Cloud services are applications running somewhere in the
cloud computing infrastructures through internal network or
Internet. Cloud computing allows providers to develop,
deploy and run applications that can easily grow in capacity
(scalability), work rapidly (performance), and never (or at
least rarely) fail (reliability), without any concerns on the
properties and the locations of the underlying infrastructures.
Cloud computing systems can achieve the following five
goals together [2]:
1) Availability
The goal of availability for cloud computing systems
(including applications and its infrastructures) is to ensure its
users can use them at any time, at any place. As its
web-native nature, cloud computing system enables its users
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to access the system (e.g., applications, services) from
anywhere. This is true for all the cloud computing systems
(e.g., DaaS, SaaS, PaaS, IaaS, and etc.). Required to be
accessed at any time, the cloud computing system should be
severing all the time for all the users (say it is scalable for any
number of users). Two strategies, say hardening and
redundancy, are mainly used to enhance the availability of
the cloud system or applications hosted on it.
2) Confidentiality
It means keeping users’ data secret in the cloud systems.
There are two basic approaches (i.e., physical isolation and
cryptography) to achieve such confidentiality, which are
extensively adopted by the cloud computing vendors.
3) Data integrity
In the cloud system means to preserve information
integrity (i.e., not lost or modified by unauthorized users). As
data are the base for providing cloud computing services,
such as Data as a Service, Software as a Service, Platform as
a Service, keeping data integrity is a fundamental task.
4) Control
In the cloud system means to regulate the use of the system,
including the applications, its infrastructure and the data.
5) Audit
It means to watch what happened in the cloud system.
Auditability could be added as an additional layer in the
virtualized operation system (or virtualized application
environment) hosted on the virtual machine to provide
facilities watching what happened in the system. It is much
more secure than that is built into the applications or into the
software themselves, since it is able watch the entire access
duration.
IX. CONCLUSION
This paper discussed the architecture and popular
platforms of cloud computing. It also addressed challenges
and issues of cloud computing in detail. In spite of the several
limitations and the need for better methodologies processes,
cloud computing is becoming a hugely attractive paradigm,
especially for large enterprises.
Cloud Computing initiatives could affect the enterprises
within two to three years as it has the potential to
significantly change IT.
REFERENCES
[1] T. Dillon, C. Wu, and E. Chang, “Cloud Computing: Issues and
Challenges,” 2010 24th IEEE International Conference on Advanced
Information Networking and Applications(AINA), pp. 27-33, DOI=
20-23 April 2010
[2] M. Q. Zhou, R. Zhang, W. Xie, W. N. Qian, and A. Zhou, “Security and
Privacy in Cloud Computing: A Survey,” 2010 Sixth International
Conference on Semantics, Knowledge and Grids(SKG), pp.105-112,
DOI= 1-3 Nov. 2010
[3] J. F. Yang and Z. B. Chen, “Cloud Computing Research and Security
Issues,” 2010 IEEE International Conference on Computational
Intelligence and Software Engineering (CiSE), Wuhan pp. 1-3, DOI=
10-12 Dec. 2010.
[4] S. Zhang, S. F. Zhang, X. B. Chen, and X. Z. Huo, “Cloud Computing
Research and Development Trend,” In Proceedings of the 2010 Second
International Conference on Future Networks (ICFN '10). IEEE
Computer Society, Washington, DC, USA, pp. 93-97.
DOI=10.1109/ICFN.2010. 58.
[5] J. J. Peng, X. J. Zhang, Z. Lei, B. F. Zhang, W. Zhang, and Q. Li,
“Comparison of Several Cloud Computing Platforms,” 2009 Second
International Symposium on Information Science and Engineering
(ISISE '09). IEEE Computer Society, Washington, DC, USA, pp. 23-27,
DOI=10.1109/ISISE.2009.94.
[6] S. Zhang, S. F. Zhang, X. B. Chen, and X. Z. Huo, “The Comparison
between Cloud Computing and Grid Computing,” 2010 International
Conference on Computer Application and System Modeling
(ICCASM), pp. V11-72 - V11-75, DOI= 22-24 Oct. 2010.
[7] M. M. Alabbadi, “Cloud Computing for Education and Learning:
Education and Learning as a Service (ELaaS),” 2011 14th
International Conference on Interactive Collaborative Learning (ICL),
pp. 589 – 594, DOI=21-23 Sept. 2011.
[8] P. Kalagiakos “Cloud Computing Learning,” 2011 5th International
Conference on Application of Information and Communication
Technologies (AICT), Baku pp. 1 - 4, DOI=12-14 Oct. 2011.
[9] P. Mell and T. Grance, “Draft nist working definition of cloud
computing - vol. 21, Aug 2009, 2009.
[10] “Sun Microsystems Unveils Open Cloud Platform,” [Online].
Available:
http://www.sun.com/aboutsun/pr/2009-03/sunflash.20090318.2.xml,2
009.
[11] W. Dawoud, I. Takouna, and C. Meinel, “Infrastructure as a Service
Security: Challenges and Solutions,” 2010 7th International
Conference on Informatics and System, pp. 1-8, March 2010.
[12] W. Itani, A. Kayssi, and A. Chehab, “Privacy as a Service:
Privacy-Aware Data Storage and Processing in Cloud Computing
Architectures,” 2009 8th IEEE International Conference on
Dependable, Autonomic and Secure Computing, 2009, pp. 711-716.
[13] B. Grobauer, T. Walloschek, and E. Stöcker, “Understanding Cloud
Computing Vulnerabilities,” 2011 IEEE Security and Privacy, pp.
50-57, DOI= March/April 2011.
[14] W. A. Jansen, “Cloud Hooks: Security and Privacy Issues in Cloud
Computing,” Proceedings of the 44th Hawaii International Conference
on System Sciences, 2011.
Santosh Kumar received the BE degree in Computer
Science and Engineering from Visveswaraiah
Technological University, Karnataka, India in 2007.
He is currently working toward the M.Tech degree in
the Computer Science from Graphic Era University,
Dehradun, india. His research interest includes cloud
computing security.
Dr. R H Goudar, currently working as an Associate
Professor, Dept. of CSE, Graphic Era University,
Dehradun. He also worked as Faculty at International
Institute of Information Technology, Pune for 4 years
and Indian National Satellite Master Control Facility,
Hassan, India. His Subjects of Interest include
Semantic Web, Network Security and Wireless Sensor
Networks.
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