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1 # LMS using Machine Learning Base Station Selection and Edge Contents Caching 1 # LMS using Machine Learning Base Station Selection and Edge Contents Caching
2 2
3 -머신러닝 기반 최적 기지국 선택기법과 엣지 콘텐츠 캐싱을 활용한 LMS </br> 3 +머신러닝 기반 최적 기지국 선택기법과 엣지 콘텐츠 캐싱을 활용한 LMS <br/>
4 -2020-1 Capstone Design2 Project </br> 4 +2020-1 Capstone Design2 Project <br/>
5 https://github.com/yhye97/lms <br/> 5 https://github.com/yhye97/lms <br/>
6 6
7 ### Motivation: 7 ### Motivation:
...@@ -13,27 +13,27 @@ LMS that provides effective mobile traffic distribution and increase contents de ...@@ -13,27 +13,27 @@ LMS that provides effective mobile traffic distribution and increase contents de
13 * Base Stations have MEC(Mobile Edge Computing) Server 13 * Base Stations have MEC(Mobile Edge Computing) Server
14 14
15 ### Requirement: 15 ### Requirement:
16 -* Dataset: </br> 16 +* Dataset: <br/>
17 -Telecom Italia Big Data Challenge set (https://dandelion.eu/datamine/open-big-data/) </br> 17 +Telecom Italia Big Data Challenge set (https://dandelion.eu/datamine/open-big-data/) <br/>
18 -(Grid 1,2,3 == BS 1,2,3) </br> 18 +(Grid 1,2,3 == BS 1,2,3) <br/>
19 19
20 20
21 ### Background: 21 ### Background:
22 -* Mobile Traffic Prediction & BS Selection Algorithm: </br> 22 +* Mobile Traffic Prediction & BS Selection Algorithm: <br/>
23 -Python 3.5 </br> 23 +Python 3.5<br/>
24 -Jupyter Notebook </br> 24 +Jupyter Notebook <br/>
25 -Keras </br> 25 +Keras <br/>
26 26
27 * WEB: 27 * WEB:
28 -Express Framework </br> 28 +Express Framework <br/>
29 -Back-end : Node JS </br> 29 +Back-end : Node JS<br/>
30 -Front-end: HTML/CSS/JS </br> 30 +Front-end: HTML/CSS/JS <br/>
31 31
32 -* AWS: </br> 32 +* AWS: <br/>
33 ![image](https://user-images.githubusercontent.com/17666783/82525977-b1814100-9b6d-11ea-81c6-36e0321daaa7.png) 33 ![image](https://user-images.githubusercontent.com/17666783/82525977-b1814100-9b6d-11ea-81c6-36e0321daaa7.png)
34 34
35 -EC2 instance: LMS Web Server, Controller </br>
36 -S3: Contents Storage </br>
37 -RDS : Database </br>
38 -CloudFront: CDN Service </br>
39 -Edge Location: Base Station </br>
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35 +EC2 instance: LMS Web Server, Controller <br/>
36 +S3: Contents Storage <br/>
37 +RDS : Database <br/>
38 +CloudFront: CDN Service <br/>
39 +Edge Location: Base Station <br/>
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