Virtual appliance creation and optimization in cloud

IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
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Volume: 03 Issue: 03 | Mar-2014, Available @ http://www.ijret.org 383
VIRTUAL APPLIANCE CREATION AND OPTIMIZATION IN CLOUD
Mohan Raj. B1
, Radha. N2
, Poongodi. P3
1
PG scholar, Mahendra Engineering College
2
Ph.D scholar, Mahendra Engineering College
3
Prof HOD/ECE, PPG institute of technology
Abstract
The large scale IaaS systems could store virtual appliances in several repositories. The deployment time could heavily vary depending
on the connection properties of the repository storing the appliance. A virtual appliance is a virtual machine image designed to run on
a virtualization platform i.e. Virtual Box, Xen, VMware Workstation. Virtual appliance delivery requires the modification of the
underlying IaaS systems. IaaS is the virtual delivery of computing resources in the form of hardware, networking, and storage services
This concept will reduce the variance in deployment time by introducing the concept of online active repositories and appliance
optimization. To provide efficient delivery time in IaaS and to increase the efficiency of IaaS (Infra structure as a service) system To
calculate the delivery time when deployed it in the virtualized platform Combining the both online and manual repositories for
calculating the delivery time To construct the appliance in online using various online repositories The constructed appliance is
deployed in the virtualized platform (using virtual box). And the appliance is optimized for increasing the efficiency and decreasing
the delivery time. The delivery time of the online appliance is compared with the appliance which has been created manually.
Keywords- Cloud Computing, Virtualization, Virtual Appliance.
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1. INTRODUCTION
Cloud computing a relatively recent term, defines the paths
ahead in Computer Science world. Being built on decades of
research it utilizes all recent achievements in Virtualization,
Distributed computing, Utility computing, and Networking. It
implies a service oriented architecture through offering
software and platforms as services (i.e SAAS, PAAS) reduced
information technology overhead for the end-user, great
flexibility, reduced total cost of ownership, on demand
services and many other things.
The Cloud is a metaphor for the Internet, based on how it is
depicted in computer network diagrams, and is an abstraction
for the complex infrastructure it conceals. Cloud Computing
becomes widespread particularly as these systems are
“always-on always-available. “The Cloud is a Virtualization of
resources that maintains and manages itself, delivering
massively scalable enterprise IT as a Service across Internet.
2. VIRTUALIZATION
Virtualization is the creation of a virtual (rather than actual)
version of something, such as an operating system, a server, a
storage device or network resources. Virtualization is a
technology that combines or divides computing resources to
present one or many operating environments. It uses
methodologies like hardware and software partitioning or
aggregation, partial or complete machine simulation,
emulation, time-sharing etc. Offers a wide variety of tangible
benefits to those wanting to consolidate their computing
resources and at the same time save money. E.g. VMware,
Virtual PC, Virtual Box etc
3. VIRTUAL APPLIANCE
It is a virtual machine image, designed to run on a
virtualization platform. Virtual appliances are a subset of a
broader class of software appliances. Installation of a software
appliance on a virtual machine creates a virtual appliance.
Like software appliances, virtual appliances are intended to
eliminate the installation, configuration and maintenance costs
associated with running complex stacks of software.
Because virtual appliances are preconfigured, they help
organizations reduce the time and expense associated with
application deployment including the patching and ongoing
management of the software. Delivering software as a virtual
appliance has numerous business and technical benefits that
can result in higher conversion rates, shorter sales cycles and
increased renewals. In the virtual-appliance model, you can
enable greater usability out of the box by optimizing the
application for one of several VMware supported OS.KVM is
a full virtualization solution for x86 processors supporting
hardware virtualization. It consists of two main components
VM Guests , Virtual storage and networks can be managed
with libvirt based and QEMU tools. libvirt is a library that
provides an API to manage VM Guests based on different
virtualization solutions, among them KVM and Xen. It offers
a graphical user interface as well as a command line program.
The QEMU tools are KVM/QEMU specific and are only
available for the command line.

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4. PROJECT DESCRIPTION
4.1 Existing System
The concept of virtualization describes the design and
prototype of an extendable management framework,
virtualization integrator (VSI),which enables an appliance
builder to easily fulfill the key features of virtual appliances
and coordinate management function across components
located in multiple virtual appliances. And the main drawback
of this paper is that virtual appliance is reduces the efficiency
of the cloud data center. And therefore it will underlay some
changes in the data center. So that it directly does not involve
in the process of creation of virtual appliance, and in the next
technique it introduces the concept of how to manage the
virtual appliances and what are the steps for managing the
virtual appliances.
4.2 Proposed System
In the proposed system we have explained the process of how
the time of the virtual appliance is used and explained with the
automated virtual appliance creation system, the deployment
time reduction capabilities of the proposed techniques were
measured with several services provided in virtual appliances
on three cloud infrastructures.
The appliance creation capabilities of the VAS are compared
to the already available virtual appliances offered by the
various online appliance repositories. As a result these
techniques alleviated one of the major obstacles before virtual
appliance based deployment system.
5. MODULES
5.1 Java Application Creation
This module describes about creation of a java application. In
this paper we have created an any java application for the IP
hacker. This application contains a hit list with the attributes
of Ip address, Time, Date in which the person access the
system. If any ip address request or access data more than
particular count it will restrict that ip address and it will say
unauthorized access and intimate to admin. So we blocked ip
address easily and efficiently.
5.2 Appliance Creation
The goal of this online appliance creation is to create the
virtual appliance (software image) for a particular os or an
application. The created virtual appliance will be deployed in
the virtualized platform for calculating the delivery time.
Virtual box is a tool for importing the appliance in any of the
operating systems like (windows, Linux etc.,).The created
online appliance is imported in the virtual box. The installation
of the appliance begins in the cloud environment.
5.3 Optimization of Virtual Appliance
As from the first step of the optimization algorithm, it starts
with the identification of the deployment time reduction
options for services encapsulated in virtual appliances. The
deployment time is defined as the time between the
deployment decisions was made and the service was activated
on the selected host. These tasks include the installation, the
configuration and finally the activation. With these tasks, the
installation is the most time consuming thus it is subdivided
into several subtasks.
This approach modifies the virtual appliance in a way that it is
capable of serving its target functionality, with a smaller size.
A virtual appliance consist of a disk image, if there is a
memory snapshot. Appliance optimization is done by the VA
optimization facility that is a subsystem of the VAS service
therefore; first, we defined the faults that can be injected in
order to achieve size reduction. Having a virtualized
environment enables the simulation of both software and
hardware level faults.
Validation algorithms are used to evaluate these virtual
appliance, to check whether it provides the target
functionality. Software development may involve unit and
integration tests optimization technique, which is represented
in the updates and reusing the previous optimization results.
The facility takes snapshots of the optimization process that
create intermediate appliances.
5.3.1 Appliance Contents Removal
This section describes the basic algorithm of the optimization
procedure is split into three distinct tasks. These three tasks
are outlined in the next sub-sections.
5.3.1.1 Selection
Items are the smallest entities handled by the selection and
removal algorithms. The subtask of the selection is weighting
that prioritizes the different items. Weight functions assign
weight values for each item of the virtual appliance under
optimization. The higher the weight value the more undesired
the actual item is in the virtual appliance. The optimization
facility decides on the use of the various weight functions
based on the time and cost constraints specified in the
optimization target criterion.
5.3.1.2 Removal and Validation
The removal action sorts the items according to their weights
and it removes the item with the highest weight from the
virtual appliance. For the removal operation, the optimization
facility has to understand the contents of the appliance to be
able to remove the selected item. After removal, validation
instantiates the reduced appliance in a virtual machine (vm)
and all the developer-supplied validation algorithms validator

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are executed on the service it offers. If any of these algorithms
fail, then the validation procedure is non-successful valid
false.
Appliance contains several packages in that optimize the
replicated data. Select weight in KB and check replicated data
if anything found means remove that replicated data and
provide call back function to original data or package. By
doing we have reduced the size, while deploying there by this
also reduce the time.
5.4 Deploying into Cloud
Finally we have deployed MMVA into a cloud system and
compare the results with following key factors: the number of
files, size and deployment time between application, virtual
appliance and MMVA.
6. RESULTS
Fig 1 Admin Login Page
Fig 2 Hit List with IP Address
Fig 3 Blocked IP Addresses
Fig 4 Convert appliance into iso file format
Fig 5 Uploading Application
Fig 6 Importing appliance using virtual box

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Fig 7 Booting of appliance
Fig 8 Appliance loaded
Fig 9 Cloud Deployment
6. CONCLUSIONS
Highly dynamic service environments introduce new demands
on service deployment systems because they might schedule
service calls on yet-to-be deployed service instances.
Therefore, in highly dynamic service environments appliance
based service deployment systems are only usable if the
deployment time of the various appliances can be reduced.
In the current practice the virtual appliance creation task is
usually performed manually that hinders dynamic service
deployment and makes impossible to create dynamic adaptive
systems. Also our contribution provided a “parallel algorithm
for virtual appliance size optimization” , this not only reduces
the deployment time by optimizing the size of the virtual
appliances, also provides a technique that minimizes the
optimization time and allows the early release of the optimal
appliances. And the future enhancement is increasing the
efficiency and decreasing the delivery time using MMVA
(minimal manageable virtual appliance).
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Virtual appliance creation and optimization in cloud

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