Mobile cloud computing migration method and system

Abstract

The invention discloses a method and a system for migrating mobile cloud computing. The method and the system are used for migrating calculated load at a mobile end to a cloud server end. The method for migrating the mobile cloud computing comprises the steps of migration judgment and energy consumption comparison, wherein the step of migration judgment is used for judging whether a function needing to be implemented at the mobile end can be migrated to the cloud server end for implementation; the step of energy consumption comparison is used for comparing the time and energy consumption of an executive function migrated to the cloud server end required for implementation at the cloud server end with the time and energy consumption of an executive function migrated to the cloud server end required for implementation at the mobile end, and migrating the function implemented by the cloud serer end with shorter required time and smaller energy consumption to the cloud server end for implementation. The invention provides a light weight mobile cloud computing migration decision frame model, and the function for computing the consumed time and energy in the program implemented at the mobile end is migrated to the cloud server end for implementation.

Description

technical field [0001] The present invention relates to the technical field of mobile Internet, in particular to a mobile cloud computing migration method and system. Background technique [0002] In recent years, smart mobile handheld devices have developed rapidly, and the corresponding 3G and 4G networks have greatly increased the bandwidth of mobile networks, prompting a rapid expansion of the scale of mobile Internet. A variety of mobile applications are presented in front of people, such as various mobile games, social software and so on. [0003] Compared with traditional Internet clients, mobile handheld devices have unique portability advantages. At the same time, mobile Internet also has limitations that cannot be ignored: (1) Compared with personal computers, mobile handheld devices have weaker computing power and longer battery life. Poor, unable to effectively support computing-sensitive applications, such as video games, image processing, speech analysis, natu...

AI Technical Summary

Problems solved by technology

[0003] Compared with traditional Internet clients, mobile handheld devices have unique portability advantages. At the same time, mobile Internet also has limitations that cannot be ignored: (1) Compared with personal computers, mobile handheld devices have weaker computing power and longer battery life. Poor, unable to effectively support computing-sensitive applications, such as video games, image processing, speech analysis, natural language processing, etc.; (2) Compared with traditional Internet, mobile Internet bandwidth is still small

However, mobile devices are in a dynamically changing mobile network, and the network environment is relatively complex, which requires constant interaction during the process of transplanting computing.

When the network environment becomes poor, the network transmission required for transplant computing will become the bottleneck of mobile cloud computing, seriously affecting the user experience of real-time applications (such as interactive games, etc.)

In addition, the hardware conditions of mobile devices are different, and the platforms are quite different, which also brings great challenges to the design of mobile cloud computing platform architecture.

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