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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 58  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
RCS 2024-04-25
16:10
Hiroshima
(Primary: On-site, Secondary: Online)
[Invited Talk] R&D Activities on Mobile Network Evolution Technology towards Autonomous Driving Era -- Low Latency Vehicular Communications Using SRv6 Mobile User Plane --
Manabu Mikami, Katsuhiro Horiba, Hitoshi Yoshino (SoftBank) RCS2024-5
(To be available after the conference date) [more] RCS2024-5
pp.20-25
DC, CPSY, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] 2024-03-21
15:40
Nagasaki Ikinoshima Hall
(Primary: On-site, Secondary: Online)
Low-Latency Request Process for an FPGA-based Cache Server
Tianyi Yuan, Celimuge Wu, Tsutomu Yoshinaga (UEC) CPSY2023-41 DC2023-107
As IoT-related technologies develop、 a growing number of devices are being connected to networks、 leading to an increase... [more] CPSY2023-41 DC2023-107
pp.18-23
AI 2024-03-01
15:00
Aichi Room0221, Bldg.2-C, Nagoya Institute of Technology Performance Improvement for Mobile Edge Computing with Multi-Agent Deep Reinforcement Learning
Kohei Suzuki, Toshiharu Sugawara (Waseda Univ.) AI2023-42
In this paper, we propose a method for mobile edge computing using unmanned aerial vehicles (UAVs) to improve both the n... [more] AI2023-42
pp.31-36
RISING
(3rd)
2023-10-31
09:45
Hokkaido Kaderu 2・7 (Sapporo) [Poster Presentation] Task Offloading for High-accuracy Computing in Mobile Edge-Quantum Computing
Shimba Nozaki, Takuji Tachibana (Univ. Fukui)
Because future applications with machine learning and AI require more sophisticated and faster computational
processing... [more]

IN, NS
(Joint)
2023-03-02
13:40
Okinawa Okinawa Convention Centre + Online
(Primary: On-site, Secondary: Online)
Task offloading and scheduling with edge-peer computing in multi-stage Information processing system to improve progress of computing process
Hidetoshi Asao (NU), Yukinobu Fukushima (OU), Celimuge Wu (UEC), Yusheng Ji (NII), Tutomu murase (NU) IN2022-79
In this paper, we propose a distributed processing control method that improves the total sum of accuracy by offloading ... [more] IN2022-79
pp.80-84
RCS, NS
(Joint)
2022-12-16
15:00
Aichi Nagoya Institute of Technology, and Online
(Primary: On-site, Secondary: Online)
[Invited Lecture] Application of Segment Routing Technology to Mobile Networks Towards Enhanced 5G Functionality -- Design and Implementation of SRv6 Mobile User Plane --
Katsuhiro Horiba, Satoru Matsushima, Yuya Kawakami, Manabu Mikami, Hitoshi Yoshino (SB) NS2022-147 RCS2022-205
User-Plane on the mobile network is composed by Circuit Switched Network such as VC on ATM and GTP-U between base statio... [more] NS2022-147 RCS2022-205
p.85(NS), p.96(RCS)
IN, NS
(Joint)
2021-03-04
10:40
Online Online An Optimal Control Method for Multi-Job Rejection Rate in MEC
Hajime Yuda, Yoshiaki Kitaguchi, Katsunori Yamaoka (Tokyo Tech) IN2020-66
In MEC, there is a possibility that the processing time will increase or the blocking rate of jobs in the edge server wi... [more] IN2020-66
pp.73-78
IN, NS
(Joint)
2021-03-05
13:20
Online Online Bandwidth Allocation Method Preserving Slice Quality Fairness in a Wireless Environment
Takamitsu Iwai, Akihiro Nakao (UTokyo) NS2020-161
With the diversification of mobile applications, network slicing, which allocates appropriate resources according to the... [more] NS2020-161
pp.226-231
RCS, SR, SRW
(Joint)
2021-03-03
10:35
Online Online Context-Based MEC Platform for Augmented-Reality Services in 5G Networks
Yue Wang, Tao Yu, Kei Sakaguchi (Tokyo Tech) RCS2020-211
Augmented reality (AR) has drawn great attention in recent years. However, current AR implementations have drawbacks, e.... [more] RCS2020-211
pp.49-54
NS, NWS
(Joint)
2021-01-22
14:45
Online Online A Study on Allocation of Communication Resources and Computational Resources Using Relay Communication in UAV-mounted Cloudlet System
Hayato Shimada, Yuichi Kawamoto, Nei Kato (Tohoku University) NS2020-119
With the spread of the Internet of Things (IoT), the network edge is required to provide computational and communication... [more] NS2020-119
pp.53-58
CS 2020-11-06
14:20
Online Online + Central Community Center, Nonoichi Community Center
(Primary: Online, Secondary: On-site)
[Invited Lecture] Trend of Edge Computing Technology Standardization for Connected Vehicles in AECC
Toru Furusawa (Toyota) CS2020-62
With the widespread use of connected cars, it is expected that various connected services for vehicles will be realized.... [more] CS2020-62
pp.75-80
NS 2020-04-17
10:20
Online Online [Encouragement Talk] A Reliable Cooperative Operation Platform based on Mobile Edge Computing
Qinghao Liu, Takafumi Morita (UTokyo), Yoshihisa Kishiyama, Kensuke Miyachi, Takahiro Asai (NTT Docomo, INC.), Ping Du, Akihiro Nakao (UTokyo) NS2020-5
In recent years, there has been much research about intelligent traffic system to improve the safety and efficiency. Coo... [more] NS2020-5
pp.43-49
NS, IN
(Joint)
2020-03-05
11:40
Okinawa Royal Hotel Okinawa Zanpa-Misaki
(Cancelled but technical report was issued)
Optimal VM Migration in Edge Computing in Multi-hierarchy Information Processing For Higher Performance
Takumi Anjiki, Tutomu Murase (Nagoya Univ.) IN2019-95
In this paper, we propose two VM migration methods that improve the total sum of program correct by dynamically moving V... [more] IN2019-95
pp.115-120
RISING
(2nd)
2019-11-27
13:55
Tokyo Fukutake Learning Theater, Hongo Campus, Univ. Tokyo [Poster Presentation] Edge Concierge: Democratizing Cost-Effective and Flexible Network Operations using Network Layer AI at Private Network Edges
Anan Sawabe (NEC/UTokyo), Takanori Iwai (NEC), Akihiro Nakao (UTokyo)
We observe two major revolutionary trends in network operations: democratization of cost-effective and flexible communic... [more]
SR
(2nd)
2019-11-04
- 2019-11-05
Overseas Rutgers University Inn & Conference Center, NJ, USA OverEdge: Software Defined Network Assisted Service Migrations in Mobile Edge Computing
Sumit Maheshwari, Shalini Choudhury, Ivan Seskar, Dipankar Raychaudhuri (Rutgers Univ.)
Quality of Service (QoS) of a real-time application running on a mobile edge node can degrade due to temporal and spatia... [more]
SeMI, RCS, NS, SR, RCC
(Joint)
2019-07-11
09:35
Osaka I-Site Nanba(Osaka) SRLLC Layer-Integrated Edge Distributed Data Store
Koichiro Amemiya (Fujitsu/UTokyo), Akihiro Nakao (UTokyo) NS2019-53
Stateful and real-time IoT services, such as Cyber Physical Sysmte (CPS), has recently caught much attention because th... [more] NS2019-53
pp.55-60
OCS, PN, NS
(Joint)
2019-06-21
14:10
Iwate MALIOS(Morioka) Coordinated Operation based on 5G Network and Mobile Edge Computing
Qinghao Liu (UTokyo), Yoshihisa Kishiyama (NTT Docomo, INC.), Kengo Sasaki, Akihiro Nakao (UTokyo) NS2019-41
In recent years, there has been much research on remote control using ultra low latency based on MEC(Mobile/Multiaccess ... [more] NS2019-41
pp.35-40
ICM 2019-03-08
09:40
Okinawa   A Task Offloading Method Considering Mobility and Turning Behavior in Mobile-Edge Computing Architectures
Hiroya Matsumoto, Osamu mizuno, Bo Gu (Kogakuin Univ) ICM2018-58
Task offloading, that mobile nodes offload computational tasks to adjacent edge nodes (ENs) with excessive computing res... [more] ICM2018-58
pp.49-54
IN, NS
(Joint)
2019-03-04
11:10
Okinawa Okinawa Convention Center Improvement of computing latency estimation in orchestrator of MEC using statistical analysis
Krittin Intharawijitr (Tokyo Tech), Katsuyoshi Iida (Hokkaido Univ.), Hiroyuki Koga (Univ. of Kitakyushu), Katsunori Yamaoka (Tokyo Tech) NS2018-212
The orchestrator is a core component of Mobile Edge Computing (MEC) to manage a whole system. It must estimate the laten... [more] NS2018-212
pp.111-115
CS, IE, IPSJ-AVM, ITE-BCT [detail] 2018-11-30
10:45
Tokushima Tokushima University (Memorial Hall of Almuni(Engineering)) Performance Characteristics of Transportation Mode Recognition Using Communication Quality of Video Distribution
Wataru Kawakami, Kenji Kanai, Wei Bo, Jiro Katto (Waseda Univ.) CS2018-80 IE2018-59
Because the accelerometer sensors and global positioning system (GPS) produce additional mobile traffic and increase ene... [more] CS2018-80 IE2018-59
pp.71-76
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