Abstract
The development of mobile cloud computing has greatly improved the computing and storage performance of mobile devices. And mobile cloud computing is undoubtedly the necessary way to solve the performance of the process for mobile applications with high performance requirements. However, migrating the mobile applications to the cloud brings about a migration delay, which is intolerable for high real-time demanding applications. This can be technically achieved by expanding mobile cloudlets, co-located with access points (AP). Then, how to deploy the cloudlet to reduce the energy consumption has become a part of major challenges in the current study. In this paper, we propose an energy-efficient cloudlet placement method, named ECPM, to effectively reduce the number of cloudlets, so as to achieve the energy savings. Specifically, the clustering of mobile devices at each time is obtained, and then the cloudlet will move to the clustering to achieve the best use of energy. Finally, the experimental results demonstrate that the proposed method is energy saving.
Highlights
With the popularity of mobile devices, people’s demands for mobile applications are increasingly widespread
We propose a dynamic method of cloudlet placement, which can adjust the location of the cloudlet in real time according to the location change of the mobile device to provide more effective cloud service
When the number of mobile cloudlets increases, the number of covered mobile devices obtained proposed by this method is gradually larger than the DBSCAN method
Summary
With the popularity of mobile devices, people’s demands for mobile applications are increasingly widespread. Mobile devices can migrate their applications to the nearest cloudlet In this way, users can greatly reduce the huge delay caused by remote migration, to achieve the response time required by a particular application. In order to save energy, the best way is to fix a small number of cloudlets, and the rest of cloudlets follow the flow of people, always to provide cloud services to most people [24,25,26]. We propose a dynamic method of cloudlet placement, which can adjust the location of the cloudlet in real time according to the location change of the mobile device to provide more effective cloud service. The last two chapters describe some related works and prospects for future work
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