Dynamic cloudlet deployment method for mobile terminal devices

A mobile device and mobile terminal technology, applied in the field of mobile cloud computing, can solve the problems of increased energy consumption, energy waste of Duoyun, and low utilization of Duoyun resources

Inactive Publication Date: 2018-04-10
NANJING UNIV OF INFORMATION SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In this way, we can only meet the needs of users by continuously increasing the number of clouds in other places, which will increase a lot of en

Method used

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  • Dynamic cloudlet deployment method for mobile terminal devices
  • Dynamic cloudlet deployment method for mobile terminal devices
  • Dynamic cloudlet deployment method for mobile terminal devices

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0090] In the experiment, we used two nodes master and slave to create hadoop cluster. In order to simplify the experiment, the method of simulation is used here to conduct the experiment. The shape of the activity area is set as a square with a side length of 280m. In this area, there are 4 clouds and 350 mobile devices randomly distributed. At the same time, in order to be closer to the real situation, the distribution of mobile devices satisfies the law of Gaussian distribution.

[0091] at t 1 At time, the position of the mobile device and the position of the cloud in the area are set as the initial positions of the mobile device and the cloud, so t can be obtained 1 The number and location of mobile device aggregation centers at any time are shown in Table 1. The location of the mobile device aggregation center is also the location of the cloud.

[0092] Table 1.t 1 Mobile devices gather central location at all times

[0093] DC

dc 1

dc 2

d...

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Abstract

The invention discloses a dynamic cloudlet deployment method for mobile terminal devices. The method comprises the following steps that 1, the positions of K mobile device gathering centers can be acquired through a K-means algorithm according to the current positions of the mobile devices; 2, the positions of the mobile device gathering centers are abstracted into one path graph to be processed;3, according to the gathering centers, the mobile device gathering centers not meeting the condition are filtered out through a cloudlet placement strategy; 4, the positions of the gathering centers and the current positions of cloudlets are subjected to position matching, and the position where each cloudlet needs to reach is obtained; and 5, the moving paths of the cloudlets are obtained througha Dijkstra algorithm, and the cloudlets are moved to the target positions.

Description

technical field [0001] The invention relates to the field of mobile cloud computing, in particular to a mobile terminal device-oriented dynamic cloud deployment method. Background technique [0002] With the popularization of mobile devices, people's demand for mobile applications is also becoming more and more extensive. At present, there are many mobile applications that have high requirements for computing power and response delay. At this time, the requirements put forward by the applications have far exceeded the computing and processing capabilities of the mobile device itself. Therefore, the concept of mobile cloud computing is introduced in the field of mobile devices to solve the current problems in this field. Mobile cloud computing can migrate applications on mobile devices to the cloud for processing through remote migration, thereby greatly improving computing processing capabilities. However, the distance between the cloud and the mobile terminal is relativel...

Claims

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Application Information

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IPC IPC(8): H04W16/18H04L12/24H04L29/08G06K9/62G06F8/61
CPCH04L41/12H04L67/10H04W16/18G06F8/61G06F18/23213
Inventor 许小龙张亦云刘忻瑶张洁田伟薛胜军
Owner NANJING UNIV OF INFORMATION SCI & TECH
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