Research On Energy And Network Aware Computation Offloading Algorithms For Mobile Clouds

Smart phones, laptops, ipad and other mobile devices have no linear and mobility. The network’s availability and mobile technology for mobile devices to popularize and apply the technology. Mobile application is refers to the use of portable devices connected to the Internet to handle the user’s real-time demand. However, this implementation is limited by many factors, such as mobile devices in the storage space is limited, low computing power and network bandwidth and battery life, etc.In order to overcome these problems, the concept of mobile cloud computing. First of all, this paper puts forward an innovative mobile cloud computing architecture, compared with the traditional mobile devices and cloud infrastructure, this paper puts forward the concept of a middle tier. The middle layer in between mobile devices and cloud infrastructure, is composed of a thin cloud, and therefore is also called thin clouds. Cloud is deployed in access point near with IEEE 802.11 protocol, as the localization of a mobile device service closer to improve the performance of mobile cloud services. In this kind of new architecture, uninstall algorithm is the main purpose of deciding whether to uninstall the application to the cloning of clouds or cloud. Judgment on the basis of energy consumption is about work and task response time. In this article also introduces a data cache mechanism, effect of application type the code can be downloaded over the network to the dedicated clone cloud storage, task execution time need not transfer new input code, to make the whole structure to improve performance.Finally, the paper has carried on the experiment, the experiment process in this paper, considering the time cost and energy consumption cost weight coefficient, aimed at unloading success can further improve the accuracy of unloading, making unload more reliable.