|
|
 |
| |
|
|
|
Fuzzy Logic Based Resource Provisioning in Cloud Computing |
|
|
|
PP: 1-9 |
|
|
|
Author(s) |
|
|
|
Pooja Chopra,
RPS Bedi,
|
|
|
|
Abstract |
|
|
| Cloud computing, the well-known virtualized data storage technique, being one of the most advantageous
emerging technologies that attract the attention of majority of researchers in the field of Computer Science and information
technology. One of the accompanying challenges is the accurate and logical provisioning of resources. The choice is
between private and public cloud service providers. Organizations prefer hybrid clouds keeping their critical data on
relatively secured and efficient private cloud services and remaining data on more economically viable public cloud
services. This work aims to facilitate decision making process in order to determine the choice of service provider for any
particular process by using rule based fuzzy logic technique by utilizing human minds and deep learning. The decision is
based on parameters such as priority, age and execution time required for the process. Cloud sim and Matlab tools are used
for the purpose of fulfilling the requirements of proposed technique. The simulation results are impressive in terms of
security, accuracy, response time and resource utilization. The response time in fuzzy Logic rule based approach is
measured in nano seconds and CPU utilization in seconds for our convenience. |
|
|
|
|
|
|
|
