Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
CS, CQ (Joint) |
2023-05-19 15:40 |
Kagawa |
Rexxam Hall (Kagawa Kenmin Hall) (Primary: On-site, Secondary: Online) |
A Study on Traffic Aggregation Control for Base Station Power Saving by Optical-Wireless Cooperative Control Karin Umeda, Kenji Miyamoto, Yoshihito Sakai, Tatsuya Shimada, Tomoaki Yoshida (NTT) CS2023-15 |
While 6G requires more stringent performance requirements, efforts to reduce greenhouse gases are underway to carbon neu... [more] |
CS2023-15 pp.41-46 |
IN, NS (Joint) |
2023-03-03 13:30 |
Okinawa |
Okinawa Convention Centre + Online (Primary: On-site, Secondary: Online) |
DNS Query Log Aggregation Method Based on Co-occuerence Masaki Kobayashi, Akito Suzuki, Masahiro Kobayashi (NTT), Tatsuaki Kimura (Osaka Univ.) IN2022-118 |
The complexity of traffic demand fluctuation factors caused by the diversification of user terminals and services has ma... [more] |
IN2022-118 pp.311-316 |
CQ |
2019-08-27 09:50 |
Hokkaido |
Hakodate arena |
An Approximation of Average Latency for Constant Number Data Aggregation and Adaptive Control Based on Its Characteristics Hideaki Yoshino, Yuta Okuzawa, Ryunosuke Sugihara, Kenko Ota, Takefumi Hiraguri (NIT) CQ2019-58 |
To realize latency-critical IoT applications, latency should be minimized at IoT gateways that aggregate spatially distr... [more] |
CQ2019-58 pp.7-12 |
OCS, CS (Joint) |
2019-01-18 10:55 |
Okinawa |
Nobumoto Ohama Memorial Hall (Ishigaki Island) |
Performance Evaluation of multiplexing characteristics of surveillance camera traffic based on IPFIX Yoshiki Kuwabara, Yudai Matsuno, Kan Akutsu, Hiroaki Mukai, Tetsuya Yokotani (KIT) CS2018-97 |
In near future, the Internet of Things (IoT) has been popularized widely. It is expected that the number of devices conn... [more] |
CS2018-97 pp.59-64 |
CQ, ICM, NS, NV (Joint) |
2018-11-15 11:20 |
Ishikawa |
|
Characteristic Evaluation of Adaptive Control of Sensor Data Aggregation to Minimize Latency Hideaki Yoshino, Kenko Ota, Takefumi Hiraguri (NIT) CQ2018-68 |
In Internet of Things (IoT) systems utilizing a large amount of small-sized data, a data aggregation function, which hie... [more] |
CQ2018-68 pp.27-32 |
CQ |
2018-08-24 11:05 |
Shiga |
Ritsumeikan Univ. Biwako-Kusatsu Campus (BKC) |
System Time Characteristics and Optimal Aggregation Number of Non-statistical Data Aggregation Scheme Hideaki Yoshino, Kenko Ota, Takefumi Hiraguri (NIT) CQ2018-55 |
In IoT systems utilizing a large amount of small-sized sensor data, a data aggregation function, which summarizes spatia... [more] |
CQ2018-55 pp.53-58 |
CQ, MVE, IE, IMQ (Joint) [detail] |
2018-03-09 11:40 |
Okinawa |
Okinawa Industry Support Center |
System Time Characteristics and Optimization of Fundamental Data Aggregation Schemes Hideaki Yoshino, Kenko Ota, Takefumi Hiraguri (NIT) CQ2017-122 |
In Internet of Things (IoT) systems utilizing a large amount of small-sized data, a data aggregation function, which hie... [more] |
CQ2017-122 pp.111-116 |
CQ |
2017-07-27 09:30 |
Hyogo |
Kobe University |
On-line flow aggregation of Internet traffic Takanori Kudo, Kazuhide Yoshikawa (Setsunan Univ.) CQ2017-29 |
We consider an on-line flow aggregation of Internet traffic using
cache algorithms on limited memory. We propose an alg... [more] |
CQ2017-29 pp.1-5 |
NS, CS, IN, NV (Joint) |
2016-09-30 13:05 |
Miyagi |
Tohoku Univ. |
Flow bundle method performing efficient channel utilization with less control traffic in software defined wireless network
-- Effective evaluation in multi-channel wireless mesh network -- Kazuki Mizuyama (Kyutech), Yuzo Taenaka (UTokyo), Kazuya Tsukamoto (Kyutech) NS2016-85 |
Software Defined Network (SDN) attracts much attention. Our previous study presented several channel utilization methods... [more] |
NS2016-85 pp.61-66 |
RCS |
2016-06-22 15:45 |
Okinawa |
Univ. of the Ryukyus |
A CC Selection Method in Advanced C-RANs Takashi Satake (NTT) RCS2016-51 |
In the Carrier Aggregation(CA) method in Advanced C-RAN networks, in which macro-cell Component Carrier(CC)s can add the... [more] |
RCS2016-51 pp.31-34 |
NS |
2016-01-21 13:50 |
Fukuoka |
|
Flow aggregation method reducing packet losses in software defined WMN Yuzo Taenaka (UTokyo), Masaki Tagawa (NAIST), Kazuya Tsukamoto (Kyutech) NS2015-149 |
This paper presents an efficient channel utilization method maximizing network capacity on multi-channel wireless mesh n... [more] |
NS2015-149 pp.17-22 |
IA |
2015-10-19 17:30 |
Tokyo |
Takeda Hall, Takeda Bldg. 5F, Hongo Campus, Univ. of Tokyo |
Routing Issues and Traffic Control in Border Gateway Protocol with Provider Agreegatable Addressing Abu Hena Al Muktadir, Kenji Fujikawa, Hiroaki Harai (NICT) IA2015-36 |
Hierarchical Automatic Number Allocation (HANA) protocol automatically allocates provider aggregatable (PA) addresses to... [more] |
IA2015-36 pp.37-42 |
IA, IPSJ-IOT, SITE [detail] |
2014-02-27 14:05 |
Ishikawa |
Hotel Rurikoh |
A Generating Method of Macroflow for Flow-based Routing Yousuke Takahashi, Keisuke Ishibashi, Noriaki Kamiyama, Kohei Shiomoto (NTT), Tatsuya Otoshi, Yuichi Ohsita, Masayuki Murata (Osaka Univ.) SITE2013-59 IA2013-84 |
Software-defined networking (SDN) technology such as OpenFlow to enable flow-level traffic engineering has received a lo... [more] |
SITE2013-59 IA2013-84 pp.31-36 |
RCS, IN (Joint) |
2013-05-16 09:45 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Evaluation of Remaining Battery-Charge-Aware Sleep Control Method via Traffic Aggregation for Wireless LAN Access Points Hiroaki Goto, Mamoru Akimoto, Chun-hsiang Huang, Masataka Iizuka (NTT) RCS2013-23 |
Data traffic is growing rapidly in the mobile network and public wireless LAN (WLAN) can be used to offload traffic from... [more] |
RCS2013-23 pp.1-6 |
IN |
2013-01-25 14:35 |
Kagoshima |
Kagoshima-Ken-Sangyo-Kaikan |
Idle Time Aggregation Scheme on Shared Link by Delaying Segment Transmission of TCP for Power-saving of Network Equipment Shin Murakami (Kyutech), Hitomi Tamura (FIT), Kenji Kawahara, Yuji Oie (Kyutech) IN2012-151 |
One of the power-saving scheme of network equipments is to control link transmission rate at output ports dynamically de... [more] |
IN2012-151 pp.75-80 |
RCS |
2012-06-21 14:40 |
Hokkaido |
Hakodate City Central Library |
The Sleep Control Method with Traffic Aggregation for Wireless LAN Access Point Hiroaki Goto, Mamoru Akimoto, Chun-hsiang Huang, Masataka Iizuka (NTT) RCS2012-53 |
Recently, the mobile data traffic is increasing rapidly with new market of smart phone increasing. Passing the mobile da... [more] |
RCS2012-53 pp.61-66 |
IN, RCS (Joint) |
2012-05-18 14:25 |
Tokyo |
Kuramae-Kaikan, Tokyo Institute of Technology |
Aggregation Scheme by Delaying Data Transmission of TCP based on Number of Connections on Shared link for Power-saving of Network Equipments Kenji Kawahara, Takayuki Koya, Koichi Kubozono (KIT), Hitomi Tamura (FIT), Yuji Oie (KIT) IN2012-18 |
One of the power-saving scheme of network equipments is to dynamically control link transmission rate at output ports on... [more] |
IN2012-18 pp.37-42 |
NS, IN (Joint) |
2012-03-09 10:10 |
Miyazaki |
Miyazaki Seagia |
Aggregation Scheme of Data Transmission on Shared link by TCP flows to delay Data Transmission for Power-saving of Network Equipment Koichi Kubozono (KIT), Hitomi Tamura (FIT), Kenji Kawahara, Yuji Oie (KIT) IN2011-178 |
One of the power-saving scheme of network equipments is to control link transmission rate at output ports in switches/ro... [more] |
IN2011-178 pp.247-252 |
OCS, CS (Joint) |
2011-01-28 14:25 |
Tokushima |
The University of Tokushima |
A Study of Energy-Efficient WDM Transponder utilizing Adaptive Interface Control with Link-Aggregation of Ethernet Links Noboru Yoshikane, Itsuro Morita, Hideaki Tanaka (KDDI Labs.) OCS2010-114 |
In most cases, the interfaces of transmission equipment remain active for 24 hours a day regardless of traffic volume va... [more] |
OCS2010-114 pp.87-92 |
SAT, RCS (Joint) |
2010-08-27 17:00 |
Kagoshima |
Kagoshima Univ. |
Link aggregation platform enabling flexible traffic control in cognitive wireless networks Kentaro Ishizu, Homare Murakami, Hiroshi Harada (NICT) RCS2010-106 |
The cognitive radio network selects the optimal radio access network from those with different throughput, delay, and ji... [more] |
RCS2010-106 pp.165-170 |