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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 129  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IA, ICSS 2022-06-23
13:55
Nagasaki Univ. of Nagasaki
(Primary: On-site, Secondary: Online)
Decentralized Identifier and Access Control based Architecture for Privacy-Sensitive Data Distribution Service
Reiya Oku, Kohei Shiomoto (Tokyo City Univ.), Yoshihiro Ohba (Kioxia) IA2022-3 ICSS2022-3
 [more] IA2022-3 ICSS2022-3
pp.15-18
ICM 2021-07-15
16:40
Online Online [Special Talk] Report on IEEE International Conference on Network Softwarization (NetSoft) 2021
Kohei Shiomoto (TCU) ICM2021-14
International Conference on Network Softwarization (NetSoft) is a flagship conference aiming at addressing the “Softwari... [more] ICM2021-14
pp.22-27
PN 2020-08-25
10:50
Online Online Policy Gradient-based Deep Reinforcement Learning for Deadline-aware Data Transfer over Wide Area Networks
Masaki Notoya, Kohei Shiomoto (Tokyo City Univ.), Takashi Kurimoto (NII) PN2020-21
Deadline-aware job scheduling problems have been attracting attention in the application domains of scientific workflows... [more] PN2020-21
pp.49-56
ICM 2020-07-17
09:25
Online Online Study on which data we should label in a few-shot learning for service identification over encrypted web services
Shouta Yoshida, Yutaka Eguchi, Kohei Shiomoto (TCU) ICM2020-14
It is very important to monitor and control the communication traffic to cope with the
increasing communication traffic... [more]
ICM2020-14
pp.37-42
PN 2020-03-03
09:00
Kagoshima
(Cancelled but technical report was issued)
Research of Scheduling Method Considering Traffic-Characteristics for Data Center Wide Area Network(DC-WAN)
Takashi Arakawa, Kohei Shiomoto (TCU), Takashi Kurimoto (NII) PN2019-61
Recent years, the demand for efficient use of Data-Center Wide Area Network (DC-WAN) is increasing.
Since delay affects... [more]
PN2019-61
pp.51-58
SR 2019-12-05
13:50
Okinawa Ishigaki City Hall (Ishigaki Island) [Poster Presentation] Quality state analysis of eNodeB log data by semi-supervised learning using Self training
Shouta Yoshida (TCU), Atsushi Morohoshi (Fujitsu Fsas), Kohei Shiomoto (TCU), Chin Lam Eng, Sebastian Backstad (Ericsson Japan) SR2019-92
In an LTE network where traffic is increasing year by year. It is important to quickly find the cause when a failure occ... [more] SR2019-92
pp.29-36
NS, ICM, CQ, NV
(Joint)
2019-11-21
12:10
Hyogo Rokkodai 2nd Campus, Kobe Univ. Study on Reduction of Inconsistency between SDN Controllers Considering Traffic Fluctuation
Masaru Kosugi, Kohei Shiomoto (Tokyo City Univ.) ICM2019-23
In a large-scale network, centralized control of all network devices with a single SDN controller is undesirable because... [more] ICM2019-23
pp.13-18
PN 2019-08-26
10:40
Hokkaido Kanpo-No-Yado Otaru Survey on Topology Design and Traffic Measurement in Datacenter Networks
Kohei Shiomoto (TCU) PN2019-12
We survey research papers on topology design and traffic measurement in data center networks. We categorize the research... [more] PN2019-12
pp.9-16
SeMI, RCS, NS, SR, RCC
(Joint)
2019-07-11
15:00
Osaka I-Site Nanba(Osaka) Deep learning-based classification for the automatic of eNodeB state management in LTE networks
Kazuki Hara (Tsukuba Univ.), Kohei Shiomoto (TCU), Chin Lam Eng, Sebastian Backstad (Ericsson Japan) RCC2019-41 NS2019-77 RCS2019-134 SR2019-53 SeMI2019-50
It is crucial to identify the cause immediately when a failure occurs at base station of mobile communication. However, ... [more] RCC2019-41 NS2019-77 RCS2019-134 SR2019-53 SeMI2019-50
pp.145-150(RCC), pp.171-176(NS), pp.167-172(RCS), pp.177-182(SR), pp.159-164(SeMI)
SeMI, RCS, NS, SR, RCC
(Joint)
2019-07-11
15:25
Osaka I-Site Nanba(Osaka) Few-shot Learning based on Prototypical Network to Understand Area Service Level in LTE Networks
Shogo Aoki (Waseda Univ.), Kohei Shiomoto (TCU), Chin Lam Eng, Sebastian Backstad (Ericsson Japan) RCC2019-42 NS2019-78 RCS2019-135 SR2019-54 SeMI2019-51
In case a base station in mobile network malfunction, it is crucial to classify a service degradation event and identify... [more] RCC2019-42 NS2019-78 RCS2019-135 SR2019-54 SeMI2019-51
pp.151-156(RCC), pp.177-182(NS), pp.173-178(RCS), pp.183-188(SR), pp.165-170(SeMI)
IN, NS
(Joint)
2019-03-04
09:00
Okinawa Okinawa Convention Center Intrusion Detection System using semi-supervised learning with Adversarial Autoencoder
Kazuki Hara, Kohei Shiomoto (Tokyo City Univ.) NS2018-193
In recent years the importance of intrusion detection system(IDS) is increasing. In particular, a method using machine l... [more] NS2018-193
pp.1-6
ASN, NS, RCS, SR, RCC
(Joint)
2018-07-12
09:55
Hokkaido Hakodate Arena Attack classification method using neural network by analysis of log data of intrusion detection system and investigation for improvement of accuracy
Tsukasa Mannen, Kohei Shiomoto (TCU) SR2018-31
In this paper, we focus on the Intrusion Detection System (IDS) and examine the accuracy of attack and non-attack classi... [more] SR2018-31
pp.65-72
NS, IN
(Joint)
2018-03-01
10:00
Miyazaki Phoenix Seagaia Resort Study on QoE management method of browsing and streaming Web services
Keisuke Abe, Takumi Kyono, Kohei Shiomoto (TCU) NS2017-178
Web pages in recent years have been realized using HTML, CSS, JavaSctipt, it is important to grasp the quality of servic... [more] NS2017-178
pp.61-65
NS, IN
(Joint)
2018-03-02
09:40
Miyazaki Phoenix Seagaia Resort Building causal relation model for root cause analysis of IP-over-Fiber multilayer network
Ryusei Arai, Yoshiki Haruta, Kohei Shiomoto (TCU) NS2017-197
 [more] NS2017-197
pp.171-174
NS, IN
(Joint)
2018-03-02
09:00
Miyazaki Phoenix Seagaia Resort Study on association between controller and switch in Software-Defined Networking
Yusaku Tsukuda, Kohei Shiomoto (TCU), Tatsuya Morita, Tsunemasa Hayashi (Bosco Technologies) NS2017-199
In SDN, Control function that uses only a single controller is not desirable due to consider capacity of controller and ... [more] NS2017-199
pp.181-186
NS, IN
(Joint)
2018-03-02
13:30
Miyazaki Phoenix Seagaia Resort Network Abnormality Detection Using Machine Learning
TsukasaMannen, Kohei Shiomoto (TCU) NS2017-226
Today, through the widespread use of internet, we need to take measures of Malicious Software. Once computers on the int... [more] NS2017-226
pp.327-332
ICM, IPSJ-CSEC, IPSJ-IOT 2017-05-25
16:40
Kochi   [Invited Talk] Toward Network Management in Network Virtualization Era
Kohei Shiomoto (Tokyo City Univ.) ICM2017-3
Network virtualization technologies such as Software-defined networking (SDN) and network function virtualization (NFV) ... [more] ICM2017-3
pp.41-45
IN, RCS
(Joint)
2016-05-19
14:20
Tokyo Kikai-Shinko-Kaikan Bldg. An evaluation of proactive network control on a wide-area SDN testbed
Yousuke Takahashi, Akito Suzuki, Keisuke Ishibashi, Kohei Shiomoto (NTT), Tatsuya Otoshi, Yuichi Ohsita, Masayuki Murata (Osaka Univ.) IN2016-7 RCS2016-29
Software-defined networking, particularly OpenFlow, has enabled traffic engineering (TE) using arbi- trary traffic group... [more] IN2016-7 RCS2016-29
pp.37-42(IN), pp.31-36(RCS)
ICM 2016-03-10
09:40
Okinawa   Analyzing Effect of Edge Computing on Reduction of Web Response Time
Noriaki Kamiyama, Yusuke Nakano (Osaka Univ./NTT), Kohei Shiomoto (NTT), Go Hasegawa, Masayuki Murata, Hideo Miyahara (Osaka Univ.) ICM2015-41
 [more] ICM2015-41
pp.1-6
NS 2016-01-22
13:40
Fukuoka   Causality Analysis of Web Performance
Yuusuke Nakano, Noriaki Kamiyama, Kohei Shiomoto (NTT), Go Hasegawa, Masayuki Murata (Osaka Univ.) NS2015-161
 [more] NS2015-161
pp.87-92
 Results 1 - 20 of 129  /  [Next]  
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