Energy Efficient Ant Colony Cloud Offloading Algorithm (EACO).

Mobile cloud computing is a computing paradigm that helps to reduce the application energy consumption, so increases the battery life. Mobile application is divided to fine grained tasks with sequential and parallel topology. Offloading application tasks to cloud provides more energy but increases the completion time. The scheduling of tasks between executing in mobile device and cloud is more important to limit the increasing in the completion time. In this paper, energy efficient ant colony cloud offloading algorithm (EACO) is developed to reduce the energy consumption with the hard condition of completion time. EACO decreases the energy by an average 24%-59% with increasing in completion time by 3.6%-28% compared with previous work. The algorithm is verified in different experiments with different tasks input data and computation workload.