Energy-saving scheduling method and energy-saving scheduling device for mobile cloud computing terminal

Abstract

The invention discloses an energy-saving scheduling method and an energy-saving scheduling device for a mobile cloud computing terminal. The method comprises the following steps of based on an Agent technology, acquiring mobile application task parameters and mobile equipment status parameters in a preset format; according to the mobile application task parameters, computing to generate local execution energy consumption of the mobile equipment; according to the mobile application task parameters and the mobile equipment status parameters, computing to generate the execution energy consumption of a cloud; comparing whether the execution energy consumption of the cloud is greater than the local execution energy consumption of the mobile equipment or not, if so, enabling a mobile application task to be executed on the mobile equipment, and otherwise, downloading the mobile application task to the cloud for executing. According to the energy-saving scheduling method and the energy-saving scheduling device disclosed by the invention, the Agent technology is integrated into mobile cloud computing, physical difference among mobile equipment is overcome, the communication and the coordination between the equipment and a cloud server are realized in a specified information format, the local execution energy consumption of the mobile equipment and the execution energy consumption of the cloud are computed and compared, and finally an energy-saving scheduling scheme is made, so that the energy consumption of the mobile computing terminal is effectively reduced.

Description

technical field [0001] The present invention relates to the field of mobile cloud computing, in particular to a mobile cloud computing terminal energy-saving scheduling method and device. Background technique [0002] Nowadays, mobile devices are more and more common in our daily life and provide us with many conveniences, such as Google’s Android phones, Apple’s iPhone; and netbooks from other manufacturers, such as Apple’s iPad and Galaxy Note tablets With a wide range of applications. However, resource constraints, such as battery capacity constraints, seriously affect user experience. Cloud computing, on the other hand, has grown explosively for many years. With the emergence of cloud computing, users do not need to buy expensive equipment, they can use the "pay as you go" model based on cloud services. The most significant advantage of cloud computing is that it can help end users offload heavy computing workloads beyond the processing power limitations of their devi...

AI Technical Summary

Problems solved by technology

However, the arrival of this new technology also brings many challenges, among which, for battery-powered mobile devices, energy optimization is an important aspect that cannot be ignored in these challenges

[0005] At present, there are also some studies on the energy consumption of mobile devices, but they lack the consideration of the differences between various wireless environments and the heterogeneity of mobile devices when studying task offloading strategies.

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