| Presentation | 2013-03-15 Methods for visualization of information from large scale carrier network Naoki TATEISHI, Mitsuho TAHARA, Naoyuki TANJI, Hikaru SESHAKE, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | With the increase of services, the network is consisted by various elements, such as router, switch, and a wide variety of server. The structure of network becomes to be more complicated. so diagnosis of failure and affected area with a lot of alarms tends to be more difficult. The time for detecting the causal point of failure also becomes longer. However, to improve the quality services, reducing down time is essential factor. Alarm browser and graph are used to displaying the collected data from network. Operator managements network with envisioning network structure in their mind. However, the larger the network becomes, the more difficult operators recognize the network structure only by their mind. So topology view with geographical information and kind of equipment is used. But visibility of this view becomes worse if the scare of network is even larger and more complex. In this paper. we propose the visualizing method of network information by space axis and time axis. This method can easily make network operators remind of causal point and failure area. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Large scale network / Analyzing causal point / visualization / time and space axis |
| Paper # | ICM2012-74 |
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| Conference Information | |
| Committee | ICM |
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| Conference Date | 2013/3/7(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Information and Communication Management(ICM) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Methods for visualization of information from large scale carrier network |
| Sub Title (in English) | |
| Keyword(1) | Large scale network |
| Keyword(2) | Analyzing causal point |
| Keyword(3) | visualization |
| Keyword(4) | time and space axis |
| 1st Author's Name | Naoki TATEISHI |
| 1st Author's Affiliation | NTT Network Service Systems Laboratories, NTT Corporation() |
| 2nd Author's Name | Mitsuho TAHARA |
| 2nd Author's Affiliation | NTT Network Service Systems Laboratories, NTT Corporation |
| 3rd Author's Name | Naoyuki TANJI |
| 3rd Author's Affiliation | NTT Network Service Systems Laboratories, NTT Corporation |
| 4th Author's Name | Hikaru SESHAKE |
| 4th Author's Affiliation | NTT Network Service Systems Laboratories, NTT Corporation |
| Date | 2013-03-15 |
| Paper # | ICM2012-74 |
| Volume (vol) | vol.112 |
| Number (no) | 492 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |