Enhanced Profit Maximization Service Based Scheme for Multi- Cloud Platform |
Author(s): |
| Anita D. Khadka , SRTCT Faculty Of Engineering; Shreya S. Inamdar, SRTCT Faculty Of Engineering; Payal S. Vaidya, SRTCT Faculty Of Engineering; Prof. H. P. Mal., SRTCT Faculty Of Engineering |
Keywords: |
| Cloud Computing, Guaranteed Service Quality, Multi Server System, Service Level Agreement, Queuing Models, Scheduling Models, Resource Management |
Abstract |
|
An effective and efficient way to provide computing resources and services to clients on demand, cloud computing has become more and more popular. From cloud service providers' perspective, profit is the most important consideration along with user-friendly quality services, and it is mainly determined by the configuration of a cloud service platform under given market demand. However, a single long-term renting scheme is usually adopted to configure a cloud platform, which cannot guarantee the service quality but leads to serious resource waste. In this project, a double resource renting scheme is designed firstly in which short-term renting and long-term renting are combined aiming at the existing issues. This double renting scheme can effectively guarantee the quality of service of all requests and reduce the resource waste greatly. The results show that our scheme can not only guarantee the service quality of all requests, but also obtain more profit than the latter. To enhance the quality services to the client, a tool is to be developed that will track the data usage and storage spaces of all the users and provide flexibility in the renting to the client. |
Other Details |
|
Paper ID: IJSRDV5I90129 Published in: Volume : 5, Issue : 9 Publication Date: 01/12/2017 Page(s): 245-248 |
Article Preview |
|
|
|
|
