Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
ICM, IPSJ-CSEC, IPSJ-IOT |
2019-05-23 16:20 |
Osaka |
|
Characteristic Analysis of Time-series P2PTV Traffic Using Machine Learning Rina Ooka, Koji Hayashi, Takumi Miyoshi, Taku Yamazaki (Shibaura Inst. of Tech.) ICM2019-2 |
P2P-based video streaming service (P2PTV) in which user terminals (peers) directly communicate with each other has attra... [more] |
ICM2019-2 pp.31-36 |
IN, NS (Joint) |
2019-03-05 09:20 |
Okinawa |
Okinawa Convention Center |
Characteristic Analysis of P2PTV Traffic and Its Classification Using Machine Learning Koji Hayashi, Takumi Miyoshi (Shibaura Inst. Tech.) NS2018-230 |
Peer-to-peer video streaming service (P2PTV) has attracted attention due to the huge demands for video streaming service... [more] |
NS2018-230 pp.219-224 |
IN, NS (Joint) |
2019-03-05 10:30 |
Okinawa |
Okinawa Convention Center |
Autonomous Contents Forwarding Method for Information-Centric Networking Ayumu Yamaguchi, Keigo Kimura, Kandai Motizuki, Mizuno Osamu (Kogakuin Univ) IN2018-116 |
Information-centric networking ICN has attracted attention as a new architecture that realizes content distribution effi... [more] |
IN2018-116 pp.193-198 |
MoNA |
2018-12-25 16:10 |
Tokyo |
|
Traffic load characteristics analysis of equality based flow admission control by using virtual machines Hayato Sato, Sumiko Miyata (SIT) MoNA2018-53 |
A new admission control scheme that maximizes the satisfaction level (minimizes the total call loss probability) which a... [more] |
MoNA2018-53 pp.85-90 |
NS |
2018-10-19 10:40 |
Kyoto |
Kyoto Kyoiku Bunka Center |
[Invited Lecture]
Study of Internet Traffic Classification Based on Naive Bayesian Method Yuanzhi Shao (UEC), Ved P. Kafle (NICT) NS2018-127 |
The traditional port- and payload-based traffic detection and classification technique may not meet the security and QoS... [more] |
NS2018-127 pp.111-116 |
ASN, NS, RCS, SR, RCC (Joint) |
2018-07-13 10:20 |
Hokkaido |
Hakodate Arena |
Network Selection Scheme Using Positioning Information for Heterogeneous Wireless System
-- Evaluation of Large-Size Data Transmission Delay Time of Traffic Relay -- Ono Kento, Ono Takahiro, Akimoto Kouhei, Kameda Suguru, Suematsu Noriharu (Tohoku Univ.) SR2018-52 |
We have proposed Traffic Relay as a method to realize load balancing in heterogeneous networks. In this method, user equ... [more] |
SR2018-52 pp.145-150 |
RCS |
2018-06-20 13:40 |
Nagasaki |
Nagasaki University |
Impact of Base Station Sleep on Uplink Energy Consumption of User Equipment Kazunari Takahashi, Koichi Adachi (UEC) RCS2018-36 |
The wireless communications network needs to be designed to support the traffic load that dynamically fluctuates over t... [more] |
RCS2018-36 pp.7-12 |
NS, OCS, PN (Joint) |
2018-06-15 13:20 |
Fukushima |
Koriyama-Shoko-Kaigisho |
[Encouragement Talk]
Real-time Estimating Application Flow from Encrypted Traffic Anan Sawabe, Takanori Iwai, Kozo Satoda (NEC) NS2018-33 |
In recent years, mobile network operators have focused on QoE and QoC of users, which requires advanced network control ... [more] |
NS2018-33 pp.31-36 |
IN, RCS, NV (Joint) |
2018-05-10 16:10 |
Kanagawa |
Keio University |
[Invited Lecture]
Data flows control for connected cars using MEC Takeshi Kitahara, Tomonobu Niwa, Kotarou Ichikawa, Akinari Nanba, Nobutaka Matsumoto, Tomohiro Otani (KDDI Research) IN2018-4 RCS2018-29 |
When connected cars are spread on a large scale, the communication load of the existing cellular network will be increas... [more] |
IN2018-4 RCS2018-29 pp.19-24(IN), pp.43-48(RCS) |
ICSS, IPSJ-SPT |
2018-03-07 14:50 |
Hokkaido |
Okinawa Hokubu Koyou Nouryoku Kaihatsu Sougou Center |
A study of decentralized IoT Security Controller Iifan Tyou, Hiroki Nagayama, Takuya Saeki, Yukio Nagafuchi, Masaki Tanikawa (NTT) ICSS2017-58 |
With the spread of IoT devices, IoT security management has become important to network administrators. It is hard to im... [more] |
ICSS2017-58 pp.43-48 |
NS, IN (Joint) |
2018-03-01 09:40 |
Miyazaki |
Phoenix Seagaia Resort |
A Flow Allocation Algorithm for TE in Scale-Free Networks Manabu Kato (NIT, Ariake College), Kenji Kawahara (Kyutech) IN2017-95 |
We develop a flow allocation algorithm for TE in scale-free networks by considering its structure. And we then evaluate ... [more] |
IN2017-95 pp.33-38 |
NS, IN (Joint) |
2018-03-01 10:00 |
Miyazaki |
Phoenix Seagaia Resort |
Performance Evaluation of End-to-End Spatial TE on MultiPath TCP for both Energy Saving and Load Balancing Takahiro Hazama, Kenji Kawahara (kyutech) IN2017-96 |
In recent years, the number of network devices are rapidly increasing in the Internet for dealing with a huge amount of ... [more] |
IN2017-96 pp.39-44 |
RCS, SR, SRW (Joint) |
2018-03-01 09:20 |
Kanagawa |
YRP |
Network Selection Scheme Using Positioning Information for Heterogeneous Wireless System: Evaluation of Transmission Time Delay Reduction by Multiple-Users Traffic Relay Takahiro Ono, Kohei Akimoto, Suguru Kameda, Noriharu Suematsu (Tohoku Univ.) RCS2017-361 |
In order to accommodate the mobile communication traffic increasing rapidly in recent years,
heterogeneous wireless ne... [more] |
RCS2017-361 pp.235-240 |
SIP, IT, RCS |
2018-01-23 15:35 |
Kagawa |
Sunport Hall Takamatsu |
Traffic Distribution Scheme based on Real-Coded Genetic Algorithm in Heterogeneous Network Takahiro Sekii, Shigeaki Ogose (Kagawa Univ.) IT2017-100 SIP2017-108 RCS2017-314 |
Processing data traffic in multiple wireless networks improves the user throughput in heterogeneous networks (HetNets). ... [more] |
IT2017-100 SIP2017-108 RCS2017-314 pp.261-266 |
CQ (2nd) |
2018-01-20 13:35 |
Tokyo |
Nishiwaseda Campus, Waseda Univ. |
[Poster Presentation]
A P2PTV Traffic Classification Method Using Machine Learning Koji Hayashi, Takumi Miyoshi (Shibaura Inst. Tech.) |
Recently, Internet video traffic has been rapidly increasing due to the huge demands for video streaming services. Since... [more] |
|
CNR, IN, MoNA (Joint) [detail] |
2017-11-17 15:00 |
Fukuoka |
|
[Encouragement Talk]
Cooperative Edge System for Realtime Predictive Information Delivery Masahiro Kanbayashi, Shingo Kato, Ryoichi Shinkuma (Kyoto Univ.) MoNA2017-24 |
Traffic congestion is still a serious social problem in the recent years.
Predictive road traffic information delivery ... [more] |
MoNA2017-24 pp.51-54 |
SR, SRW (Joint) |
2017-10-23 14:00 |
Overseas |
Grand Hotel Palatino, Rome, Italy |
[Poster Presentation]
Network Selection Scheme Using Positioning Information for Heterogeneous Wireless System
-- Generation Method of Map Information Using Deep Learning -- Suguru Kameda, Hideki Fukudome, Noriharu Suematsu (Tohoku Univ.) SR2017-78 SRW2017-30 |
We have already proposed traffic navigation, which is high-accuracy network selection scheme using map information and h... [more] |
SR2017-78 SRW2017-30 pp.35-36(SR), pp.39-40(SRW) |
RCS |
2017-10-19 15:55 |
Miyagi |
Tohoku Institute of Technology |
[Invited Lecture]
Massive Connect IoT Using QZSS/GPS High Accuracy Time and Position Information Suguru Kameda (Tohoku Univ.), Hiroshi Oguma (NIT, Toyama College), Noriharu Suematsu (Tohoku Univ.) RCS2017-183 |
The next generation information network is expected to further develop as a social infrastructure in all fields such as ... [more] |
RCS2017-183 p.87 |
CQ |
2017-08-28 13:20 |
Tokyo |
Tokyo University of Science |
[Tutorial Invited Lecture]
Massive Connect IoT: Multiple Access Method Using High Accuracy Time and Position Information Suguru Kameda (Tohoku Univ.) CQ2017-54 |
The next generation information network is expected to further develop as a social infrastructure in all fields such as ... [more] |
CQ2017-54 p.25 |
NS, ASN, RCC, RCS, SR (Joint) |
2017-07-20 11:05 |
Hokkaido |
Hokkaido Univ. |
[Poster Presentation]
Network Selection Scheme Using Positioning Information for Heterogeneous Wireless System
-- Generation Method of Map Information Using Spatial Interpolation -- Suguru Kameda, Hideki Fukudome, Noriharu Suematsu (Tohoku Univ.) RCC2017-31 NS2017-52 RCS2017-123 SR2017-46 ASN2017-40 |
We have already proposed traffic navigation, which is high-accuracy network selection scheme using map information and h... [more] |
RCC2017-31 NS2017-52 RCS2017-123 SR2017-46 ASN2017-40 pp.105-112(RCC), pp.119-126(NS), pp.159-166(RCS), pp.117-124(SR), pp.137-144(ASN) |