| Presentation | 2017-03-03 Reconstruction of Virtual Network by Bayesian Attractor Model Tatsuya Otoshi, Yuichi Ohshita, Masayuki Murata, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Network Virtualization is expected to handle the various network traffic induced by such as IoT applications because a virtual network can be constructed adaptively to each type of applications. Since the traffic patterns changes with time, the virtual network should be reconstructed dynamically to accommodate increasing traffic and to release the unused resources. However, collecting the entire information of traffic is quite hard if the targeted application is deployed on a wide-rage network. Thus, it is required to handle the uncertainty of information caused by the incompleteness of data and dynamics of changing traffic. In this paper, we propose applying the brain mechanism to the virtual network reconstruction, which deals with the uncertain information in decision making. Since the decision making in the brain is formulated as Bayesian Attractor Model(BAttM), we reformulate the virtual network reconstruction according to the BAttM to handle the uncertainty of sensing information. Moreover, we introduce the prediction of which decision is more likely selected in the future to decide the appropriate topology quickly. In the evaluation, we show that the proposal method quickly sets the appropriate topology even with using the uncertain sensing information. Additionally, we show that the prediction mechanism shortens the time required to decide the topology. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Bayesian Attractor Model / Virtual Network / Topology Reconstruction |
| Paper # | IN2016-129 |
| Date of Issue | 2017-02-23 (IN) |
| Conference Information | |
| Committee | NS / IN |
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| Conference Date | 2017/3/2(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | OKINAWA ZANPAMISAKI ROYAL HOTEL |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | General |
| Chair | Hideki Tode(Osaka Pref. Univ.) / Katsunori Yamaoka(Tokyo Inst. of Tech.) |
| Vice Chair | Yoshikatsu Okazaki(NTT) / Takuji Kishida(NTT) |
| Secretary | Yoshikatsu Okazaki(Kyushu Inst. of Tech.) / Takuji Kishida(NTT) |
| Assistant | Shohei Kamamura(NTT) / Kunitake Kaneko(Keio Univ.) / Takashi Natsume(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Network Systems / Technical Committee on Information Networks |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Reconstruction of Virtual Network by Bayesian Attractor Model |
| Sub Title (in English) | |
| Keyword(1) | Bayesian Attractor Model |
| Keyword(2) | Virtual Network |
| Keyword(3) | Topology Reconstruction |
| 1st Author's Name | Tatsuya Otoshi |
| 1st Author's Affiliation | Osaka University(Osaka Univ.) |
| 2nd Author's Name | Yuichi Ohshita |
| 2nd Author's Affiliation | Osaka University(Osaka Univ.) |
| 3rd Author's Name | Masayuki Murata |
| 3rd Author's Affiliation | Osaka University(Osaka Univ.) |
| Date | 2017-03-03 |
| Paper # | IN2016-129 |
| Volume (vol) | vol.116 |
| Number (no) | IN-485 |
| Page | pp.pp.193-198(IN), |
| #Pages | 6 |
| Date of Issue | 2017-02-23 (IN) |