Modeling heterogeneous virtual machines on iaa s data centers +91-9994232214,8144199666, ieeeprojectchennai@gmail.com, www.projectsieee.com, www.ieee-projects-chennai.com IEEE PROJECTS 2015-2016 ----------------------------------- Contact:+91-9994232214,+91-8144199666 Email:ieeeprojectchennai@gmail.com ieee projects chennai, ieee projects bangalore

1. Modeling Heterogeneous Virtual Machines on IaaS Data Centers
Abstract:
This letter considers the IaaS data center where tenant tasks are different in
terms of the number of requested physical cores, leading to heterogeneous
virtual machines (VMs). We develop a novel analytical model to evaluate
the performance of heterogeneous VMs on the same physical machine by
applying the Continuous Time Markov Chain.
Existing System:
Accurate performance evaluation of IaaS cloud is one of the critical issues
that IaaS providers must address. Analytical modeling is an effective
performance evaluation approach. Stochastic models, seeing and references
therein, have been proposed for evaluating the performance of IaaS data
centers by assuming all VMs/servers are homogeneous. In actual cloud
data centers, the capacities and/or types of physical and/or virtual
resources requested by tenants may be different, leading to VM
heterogeneity. IaaS providers are being providing various VMs to meet
tenants’ diverse service requests. Large scale is also a fact of life in IaaS
data centers. Recently, some authors proposed scalable modeling

2. approaches, namely interacting stochastic model approaches, to overcome
the complexity caused by the monolithic model for the whole large-scale
data center (including multiple PMs). Note that an approximately accurate
monolithic model of a PM is a necessary prerequisite for the effectiveness
of these interacting stochastic model approaches.
Proposed System:
The state transition rules and the formulas for computing performance
measures are described in detail. These computing formulas help defining
various SLAs and revealing practical insights into capacity planning for
cloud data centers.
Extensive numerical analysis experiments and simulations are performed.
The experiment results validate the model approximation accuracy.
Hardware Requirements:
• System : Pentium IV 2.4 GHz.
• Hard Disk : 40 GB.
• Floppy Drive : 1.44 Mb.
• Monitor : 15 VGA Colour.
• Mouse : Logitech.
• RAM : 256 Mb.
Software Requirements:

3. • Operating system : - Windows XP.
• Front End : - JSP
• Back End : - SQL Server
Software Requirements:
• Operating system : - Windows XP.
• Front End : - .Net
• Back End : - SQL Server