User Preference Based Environment Provisioning in Cloud


Scientific Essay, 2015

5 Pages, Grade: ME


Abstract or Introduction

To deploy an application, a single cloud service is not enough. Different cloud services are available, but users should provide compositions and configurations, to deliver their solutions. But identifying, analyzing the compatibility, selecting and application deployment of the above, is a complex process. It is difficult for the users to find the compatible composition for their requirement. Main Challenge is to create a self-configuring application framework which will deploy the application automatically. The selection of this composition is a challenging task and also ranking system is not available to compare and choose, selecting the server type and also software solution for their deployment. Therefore we suggests Cloud service composition for naïve users based on their preferences Thus users need not be forced to assign exact weights for their preferences.
The main aim of this project is check the compatibility of the Web Application with the Cloud Service composition and to build a Virtual Machine (Instance) for Deployment and various Preferences of Users (User Input).
• User with less technical knowledge can handle the cloud server and deploy their application on cloud.
• Cost will be considered as important component to configure the server on cloud.
Keywords: Environment provisioning, IAAS, Cloud, Pay as you use, Technical challenges, Application deployment on cloud environment.

Details

Title
User Preference Based Environment Provisioning in Cloud
Course
Computer science Engineering
Grade
ME
Authors
Year
2015
Pages
5
Catalog Number
V295645
ISBN (eBook)
9783656938392
ISBN (Book)
9783656938408
File size
432 KB
Language
English
Keywords
Environment provisioning, IAAS, Cloud, Pay as you use, Technical challenges, Application deployment on cloud environemnt.
Quote paper
Abinaya Rajasekaran (Author)Ashok Kumar (Author), 2015, User Preference Based Environment Provisioning in Cloud, Munich, GRIN Verlag, https://www.grin.com/document/295645

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