Management
Console for Open
source Hypervisors
and providing Cloud
Support
Ajinkya Kshirsagar*1, Aamir Siddiqui*2,
Neehar Patil*3, Harsh Shah*4
*MAEER’s MIT College of Engineering, Pune, India
[email protected]
[email protected]
[email protected]
[email protected]
Abstract
Proprietary hypervisors exist for operating systems
and enable connections with the Cloud to facilitate
data transfer and connectivity. XEN, KVM are
some of the hypervisors which have gained
popularity among the developers over the years due
to the flexible development options and community
support that they entail. These hypervisors, being
different in their specifications cannot interact with
each other. Hence, the next logical step in their
development is to create an interface through which,
the admin can interact with different hypervisors
present on the various virtual machines on the
network. The management console will connect
with individual hypervisors and then, create another
virtual configuration from the resources available
from these virtual machines through their respective
hypervisors.
Keywords: ACM C2.4
Computing, Virtualizations
1.
Hypervisor,
Cloud
INTRODUCTION
The concept of cloud computing and
virtualization has gained much momentum and has
become popular technology in IT field over the past
few years. Infrastructure as a Service providers use
virtualization to abstract their hardware and to
create a dynamic data center. Virtualization enables
the consolidation of virtual machines as well as the
migration of them to other hosts during runtime.
The usage of Hypervisors has seen a tremendous
growth and has led to the development of their
various flavors. Many hypervisors have been
developed specific for some operating systems or
for some particular tasks. The next logical step in
the process of innovation is to create a unified
hypervisor console that allows management of
resources across the network and provides a
abstract view to the end-client and a very detailed
option preference to the admin user. This
management console will provide the option to
unite resources across platforms, bonding with their
respective hypervisors and creating a virtual
machine of desired configuration over the cloud
according to the requirements of the admin.
Most of the organizations today require machines
of configurations that alter on a very quick
basis. Physically providing these machines and
changing their hardware from time to time is a
very inefficient process. Due to this, the concept
of virtualization is implemented to create virtual
machines of desired configurations without
implicating costly hardware modifications. These
Virtual machines are then deployed on the network
so that they can be accessed through the various
systems that are a part of it.
In this paper, a Management Console for open
source hypervisors is proposed. This model is
established using connectivity with the hypervisors
and sharing of resources across the network. As a
result, virtual configurations can be deployed across
the network depending on the requirements and the
specifications of the admin user.
2.
RELATED WORK
2.1 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. Operating system virtualization
is the use of software to allow a piece of hardware
to run multiple operating system images at the same
time. The technology got its start on mainframes
decades ago, allowing administrators to avoid
wasting
expensive
processing
power.
In
2005, virtualization software was adopted faster
than anyone imagined, including the experts. There
are three areas of IT where virtualization is making
head roads.[A] Network virtualization is a method
of combining the available resources in a network
by
splitting
up
the
available bandwidth into channels, each of which is
independent from the others, and each of which can
be assigned (or reassigned) to a particular server or
device in real time. The idea is that virtualization
disguises the true complexity of the network by
separating it into manageable parts, much like your
partitioned hard drive makes it easier to manage
your files.[2] Storage virtualization is the pooling
of physical storage from multiple network storage
devices into what appears to be a single storage
device that is managed from a central console.
Storage virtualization is commonly used in storage
area networks (SANs).
A simple example of cloud computing is Yahoo
email, Gmail, or Hotmail etc. You do not need a
software or a server to use them. All a consumer
would need is just an internet connection and you
can start sending emails. The server and email
management software is all on the cloud (internet)
and is totally managed by the cloud service provider
Yeah, Google etc.
2.4 Libvirt
Libvirt is collection of software that provides
a convenient way to manage virtual machines
and other virtualization functionality, such as
storage and network interface management. These
software pieces include an API library, a daemon
(libvirtd), and a command line utility (virsh).An
primary goal of libvirt is to provide a single way to
manage multiple different virtualization providers/
hypervisors.
2.5 Eucalyptus
2.2 Hypervisors
A hypervisor, also called a virtual machine
manager, is a program that allows multiple
operating systems to share a single hardware
host. Each operating system appears to have the
host's processor, memory, and other resources
all to itself. However, the hypervisor is actually
controlling the host processor and resources,
allocating what are needed to each operating system
in turn and making sure that the guest operating
systems (called virtual machines) cannot disrupt
each other.
Eucalyptus is a software platform for
the
implementation
of
private cloud
computing on computer clusters. There is an opencore enterprise edition and an open-source edition.
Eucalyptus can use a variety of virtualization
technologies including VMware, Xen and KVM
hypervisors to implement the cloud abstractions
it supports. Eucalyptus is an acronym for “Elastic
Utility Computing Architecture for Linking Your
Programs To Useful Systems”.[7]
3.
PROPOSED MODEL
2.3 Cloud Computing
3.1 Phases
Cloud computing is a technology that uses the
internet and central remote servers to maintain
data and applications. Cloud c1omputing allows
consumers and businesses to use applications
without installation and access their personal files at
any computer with internet access. This technology
allows for much more inefficient computing by
centralizing storage, memory, processing and
bandwidth.
The model will be implemented in 3 iterations or
phases and each solution will act as the basis for
expansion and deployment of the next phase. Each
phase produces a functional prototype that has predefined objectives in very specific areas.
Phase 1: Create a management tool to manage
different open source virtualization. Initially, the
proposed plan for the project is to integrate and
interact with just two popular hypervisors namely
XEN and KVM.
Phase 2: Allow admin to create private cloud out
of different virtualization solution. This solution
will be customizable up to a certain degree that will
allow the user to create applications characterized
by a certain degree of flexibility and economy
Phase 3: Provide plugin/api facility to integrate with
any new virtualization player. This phase basically
aims at creating an interface that will allow any
perspective hypervisors to interact with the console
and allow resource sharing, utilization and efficient
organization of concerned hardware.
3.2
In this software, all the open source hypervisors
(KVM and XEN) are brought under one
platform that should find interest from the data
administrators all over the world. The software has
huge possibility of development with the additions
of more and more hypervisors under one platform.
Compared to single hypervisors, this software has
an advantage as it provides a common view of all
different types of virtual machines running on the
network. The software is designed to expand to
even paid hypervisors with a plugin/api facility to
integrate with any new virtualization player.
Modules
5. FUTURE ENHANCEMENT
MCA (Management Console Agent) – This is the
entity residing on each of the virtual machines
that are located on the cloud and interact with
the console server that provides it with execution
details.
MCS (Management Console Server) – This is a web
based entity that exhibits the management console,
actually giving directions to execution to the virtual
machines / hypervisors through connection with the
MCAs.
DB - This is an online database that maintains a
repository of the virtual machines that currently
exist on the cloud and their current status along with
their functional capabilities.
Client Machines/Users - These machines access
the MCS through web based services and request
status information and control mechanisms over
the virtual machines present over the cloud to allow
some semblance of control over the hypervisors
present on each of the virtual machines.
XEN/KVM - Hypervisors
The project has immense scope for future work.
Similar projects with marginal capabilities are
already in research phases in leading virtualization
giants like Vmware, Red Hat and SUSE. Cloud
computing is already occupying prime importance
in corporate fields and will continue to do so for the
next decade.
The main challenge of this project
that could be overcome in future would be to
provide universal flexibility that will ensure
uniform access to all the hypervisors and do so
efficiently. The virtualization should also be taken
care of in a more secure way so as to maintain
system integrity and log.
The concept can be expanded to
limitless domains and adopted in all fields.
Corporate applications are particularly attractive
since this will save the cost of customized hardware
that companies need to invest in. Though presently
in development, no open source version of this
product is currently available. This product will be
very beneficial to the developer’s community in
creating better application base for future endeavors.
6.
4. CONCLUSION
REFERENCES:
[1]
Vuletic, M.
Righetti, L.
Pozzi, L.
Iennem,
“Operating
system
support
for
interface
virtualisation
of
reconfigurable
coprocessors”, Design, Automation and Test in
Europe Conference and Exhibition, 2004. Proceedings ,
Date:16-20 Feb. 2004, pp. 748 - 749 Vol.1[Backward
Reference]
[10] Fritzon , P ; Viklund , L ; Herber , OJ “High
level mathematical modeling and programming “ ,
software , IEEE july pp 77-87
[2] Chowdhury, N.M.M.K.; Boutaba, R.; “Network
virtualization: state of the art and research
challenges”, Communications Magazine, IEEE, Date:
July 2009, pp. 20 - 26 [Backward Reference]
[12] Glabber C , Pavan A, Selman AL “Properties of
NP complete Sets “ Computational complexity 2004
proceedings , 19th IEEE annual conference , 21-24 June
2004 pp 184-197
[3] Head, M.R.;
Kochut, A.;
Schulz, C.;
Shaikh, H.; “Virtual Hypervisor: Enabling fair
and economical resource partitioning in cloud
environments”, Network Operations and Management
Symposium (NOMS), 2010 IEEE, Date: 19-23 April
2010, pp. 104 - 111 [Forward Reference ]
[4]
Lu, Gehao; Guo, Wei; Li, Jinyan; Wu,
Caofan; “The development approaches and research
of uniform rules language designer”, Automation and
Logistics (ICAL), 2011 IEEE International Conference,
Date: 15-16 Aug. 2011, pp. 362 - 365 [Forward
Reference ]
[5] King Tin Lam; Yang Luo; Cho-Li Wang; “A
Performance Study of Clustering Web Application
Servers with Distributed JVM”, Parallel and
Distributed Systems, 2008. ICPADS '08. 14th IEEE
International Conference , Date: 8-10 Dec. 2008, pp. 328
- 335 [Forward Reference ]
[6] Shikawa, H.; Ogata, Y.; Adachi, K.; Nakajima,
T.; “Building smart appliance integration middleware
on the OSGi framework” , Object-Oriented Real-Time
Distributed Computing, 2004. Proceedings. Seventh
IEEE International Symposium, Date: 14-14 May 2004
pp. 139 - 146 [ Forward Reference ]
[7] 2009 IEEE International Conference on Cloud
Computing Cloud Computing Resource Management
through a Grid Middleware: A Case Study with DIET
and Eucalyptus. [Backward Reference]
[8] Fagui Liu; Xiang Su; Wenqian Liu; Ming
Shi; “The Design and Application of Xen-based
Host System Firewall and its Extension”, Electronic
Computer Technology, 2009 International Conference,
Date: 20-22 Feb. 2009, pp. 392 - 395 [Backward
Reference]
[9] Liu Jiajun; Hao Qinfen; “Research on Optimizing
KVM's Network Performance”,
Internet Technology and Applications (iTAP),
2011
International
Conference,
Date:
16-18
Aug. 2011,pp. 1 – 4 [Backward Reference]
[11] Matson JE , Barret BE, Mellichamp ,JM “ Software
development cost estimation using function points”
Sofware Engineering , IEEE April 1994 , pp 275-287