Dynamic Source ACO algorithm for energy-aware cloudlet-based mobile cloud computing architecture

Nowadays, industries demand Mobile Cloud Computing (MCC) implementation to enable the user to attain the benefits of cloud computing in an energy efficient way. However, MCC architecture requires mobile computing devices of users to establish a stable wireless connection. The mobile devices in transit may lose connection and continuously try to establish a connection with the cloud. As a result, mobile devices may lose the connection and waste a lot of energy. In the present work to address this issue, dynamic source Ant Colony Optimization algorithm is deployed along with the cloudlet based MCC architecture. The proposed solution considers a real-time scenario where there is a large number of mobile devices and cloudlets in the area. In such a real-time scenario, the proposed solution provides a connection with less energy consumption and high performance. To apply the proposed solution a simulator has been developed. In the present paper, the developed simulator has also been introduced.