Download On the Optimal Allocation of Virtual Resources in Cloud Computing

On the Optimal Allocation of Virtual
Resources in Cloud Computing Networks
Abstract:
To address this problem, an optimal cloud resource provisioning (OCRP)
algorithm is proposed by formulating a stochastic programming model. Cloud
computing is a paradigm shift in which the users are made to interact with “clouds”
instead of the traditional mode. Online relationships in networks are often based on
real world relationships and can therefore be used to infer a level of trust between
users (Customers). Customers can purchase services in the form of Software as a
Service (SaaS). The service providers can use multiplexing of varying workloads
to provide computing as a utility.
Our proposed optimal cloud resource provisioning (OCRP) algorithm
motivated by optimal virtual machine placement ( OVMP) algorithm can yield the
optimal solution for both resource provisioning and virtual machine (VM)
placement in two provisioning stages. A cloud provider can performed the
consumer two provisioning plans, reservation and/or on-demand plans. These
resources are used in different time intervals, also called provisioning phases.
There are three provisioning phases: reservation, expending, and on-demand
phases. A provisioning stage is the time epoch when the cloud broker makes a
decision to provision resources by purchasing reservation and/or on-demand plans,
and also allocates VMs to cloud providers for utilizing the provisioned resources.
Optimal cloud resource provisioning algorithm is developed to minimize the total
provisioning costs under the price and demand uncertainty in multiple provisioning
stages. A real world application of Financial System which uses private clouds for
the stock financial instrument can greatly benefit the Share-Markets.
Existing system:
 In the current system, SaaS (Software as a Service) is not implemented
This imposes excessive cost on the user more than for what he actually
Uses.
 The current system uses the concepts of grid computing only. It does not
Permit anytime, anywhere computing.
 On-demand service for grid computing for available resource provisioning
Option.
 K-nearest-neighbors algorithm was applied to predict the demand of
resources.
 All the information in the current system can be accessed only within the
Local infrastructure. It prevents interested users from accessing the at
system their convenience.
Proposed system:

SaaS: In the proposed system, SaaS provides a network based access
to
commercially available software and their management.
 The extra demanded resources can be more efficiently provisioned, concept
of resource slot, and also to address uncertainty of resources availability.
 The optimal cloud resource provisioning algorithm is proposed for the
virtual machine management.
 The optimization formulation of stochastic integer programming is to
Proposed obtain the decision of the OCRP algorithm as such the total of
 cost resource provisioning in cloud computing environments is
 Minimized.
 Application : Financial Cloud Computing with software and storage on
a local computer, cloud computing allows sharing of resources across the
Internet.
System Requirements:
Software Requirements

Operating System :

Programming language: c#.Net

Web-Technology:
ASP

Front-End:
ASP.NET

Back-End:
SQL SERVER
Windows
Hardware Requirements:
Processor
: Pentium 4
RAM
: 512 MB and above
Hard Disk
: 40 GB and above