Cloudlet-Based Mobile Cloud Computing for Healthcare Applications

Abstract

The smart phones are used in many aspects of our life, shopping on the Internet, and creating and distributing many types of files. But these devices have many limitations including: short battery life time and limited storage and processing. Mobile Cloud Computing technology can help to overcome these limitations. Offloading technique reduces the power consumption and saves the mobile storage by executing the huge tasks at the cloud. The mobile devices are connecting to cloud service providers using 3G or LTE technologies, which introduces some challenges including, limited bandwidth, cost, and latency. In this paper, we propose efficient and secure mobile cloud computing model based on the Cloudlet concept were the mobile devices users can connect directly to cloud resources using cheaper technologies such as Wi-Fi. Once needed, and only if the service is not available in the cloudlet, the user will be connected to the enterprise cloud. The proposed cloudlet-based model can be used in many applications where security and efficiency is required. It can be used for health applications to save and analyze patients medical records. The simulation results of our model show that it is more efficient and reliable than the other mobile could computing models that don't use the cloudlet