Abstract:
Cloud computing is a major shift from the conventional way of businesses considering
IT assets. Cloud computing empowers organizations to expand a process asset, such as
virtual machine, storage or an application, as a utility. As a result, the demand for energy
is increasing day by day. In this report, we focus on improving an analytical performance
model for improving the resource allocation process to reduce power consumption. In
particular, our report proposes a resource allocation algorithm, namely Triple-E, for
energy-efficient management of clouds. We are using the CloudSim toolkit to validate
our approach by leading a set of accurate performance evaluation study. The results
show that Triple-E has enormous potential as it offers critical execution gains as regards
to response time under dynamic workload situations
Description:
This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering of East West University, Dhaka, Bangladesh.
