PerfSONAR data representation and analysis
The internet is now a basic service similar to water and electricity. At the very core of the internet is the “computer network” consisting of routers and switchers. Billions of dollars are potentially lost if the network is down for a day. For just Google company, almost $100 million can be lost fr...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2017
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/69992 |
| _version_ | 1824457056310001664 |
|---|---|
| author | Goh, Ling Yong |
| author2 | Lee Bu Sung |
| author_facet | Lee Bu Sung Goh, Ling Yong |
| author_sort | Goh, Ling Yong |
| collection | NTU |
| description | The internet is now a basic service similar to water and electricity. At the very core of the internet is the “computer network” consisting of routers and switchers. Billions of dollars are potentially lost if the network is down for a day. For just Google company, almost $100 million can be lost from advertisements if it stops operating for a day [5]. Computer network is an important infrastructure for commerce, defense, social networks, media and etc.
Thus, it is essential to monitor and act proactively to ensure the network is in operation. Rather than just looking at current traffic, it is also to predict the network traffic. So one of the way is to use an automated prediction/forecasting algorithm to predict how the network should look like. Holt-Winters is chosen to be the algorithm with its capability to perform exponential smoothing.
In this project, I have worked with the network engineer of Singapore advanced research and education network(SingAREN) to develop a tool to predict the network traffic. The tool gets information from the API and displayed it on a table and graph. Similar information is grouped together. Network engineers can use the provided graph implementation and prediction to make informed choices based on the data analyzed and represented. Error information are shown to network engineers with three statuses (Critical, Warning, Minor). As data from the network can be huge and sieving through the data can be a huge hassle, with the new information in hand, they can create faster and possibly better solutions for the network through the help of the project. |
| first_indexed | 2025-02-19T04:03:55Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/69992 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T04:03:55Z |
| publishDate | 2017 |
| record_format | dspace |
| spelling | ntu-10356/699922023-03-03T20:31:14Z PerfSONAR data representation and analysis Goh, Ling Yong Lee Bu Sung School of Computer Science and Engineering DRNTU::Engineering::Computer science and engineering The internet is now a basic service similar to water and electricity. At the very core of the internet is the “computer network” consisting of routers and switchers. Billions of dollars are potentially lost if the network is down for a day. For just Google company, almost $100 million can be lost from advertisements if it stops operating for a day [5]. Computer network is an important infrastructure for commerce, defense, social networks, media and etc. Thus, it is essential to monitor and act proactively to ensure the network is in operation. Rather than just looking at current traffic, it is also to predict the network traffic. So one of the way is to use an automated prediction/forecasting algorithm to predict how the network should look like. Holt-Winters is chosen to be the algorithm with its capability to perform exponential smoothing. In this project, I have worked with the network engineer of Singapore advanced research and education network(SingAREN) to develop a tool to predict the network traffic. The tool gets information from the API and displayed it on a table and graph. Similar information is grouped together. Network engineers can use the provided graph implementation and prediction to make informed choices based on the data analyzed and represented. Error information are shown to network engineers with three statuses (Critical, Warning, Minor). As data from the network can be huge and sieving through the data can be a huge hassle, with the new information in hand, they can create faster and possibly better solutions for the network through the help of the project. Bachelor of Engineering (Computer Science) 2017-04-07T02:39:28Z 2017-04-07T02:39:28Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/69992 en Nanyang Technological University 28 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering Goh, Ling Yong PerfSONAR data representation and analysis |
| title | PerfSONAR data representation and analysis |
| title_full | PerfSONAR data representation and analysis |
| title_fullStr | PerfSONAR data representation and analysis |
| title_full_unstemmed | PerfSONAR data representation and analysis |
| title_short | PerfSONAR data representation and analysis |
| title_sort | perfsonar data representation and analysis |
| topic | DRNTU::Engineering::Computer science and engineering |
| url | http://hdl.handle.net/10356/69992 |
| work_keys_str_mv | AT gohlingyong perfsonardatarepresentationandanalysis |