Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
DC, CPSY, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] |
2025-03-17 17:35 |
Kagoshima |
Okierabu Floral Hotel (Kagoshima, Online) (Primary: On-site, Secondary: Online) |
Improving Efficiency and Accuracy in Model Integration for Ensemble-based Collaborative Edge Inference Shungo Kumazawa, Kazushi Kawamura, Thiem Van Chu, Masato Motomura (Science Tokyo) CPSY2024-49 DC2024-120 |
(To be available after the conference date) [more] |
CPSY2024-49 DC2024-120 pp.25-30 |
SC |
2025-03-07 13:40 |
Kyoto |
The Kyoto College of Graduate Studies for Informatics.(Hyakumanben) (Kyoto, Online) |
Evaluation of a Response Time Prediction Model for Microservice Placement to Meet End-to-End Latency Requirements in Geo-distributed Environments Ryuichi Kitajima, Hirotaka Kasahara, Jun Towada, Mohammad Mikal Bin Amrul Halim Gan, Kohei Yamada, Osamu Sato (SoftBank) SC2024-42 |
Application placement in edge computing is particularly important for applications that require real-time data processin... [more] |
SC2024-42 pp.1-6 |
SC |
2025-03-07 15:35 |
Kyoto |
The Kyoto College of Graduate Studies for Informatics.(Hyakumanben) (Kyoto, Online) |
Computation Offloading in Mobile Edge Computing Using Reinforcement Learning with Knowledge Transfer Ziwei Liu, Masaya Nakayama (UTokyo) SC2024-46 |
Mobile Edge Computing (MEC) addresses the growing demand for low-latency and efficient computation in mobile devices by ... [more] |
SC2024-46 pp.25-30 |
IN, NS (Joint) |
2025-03-07 09:20 |
Okinawa |
Okinawa Industry Support Center (Okinawa) |
VM Migration Control Considering Various Quality Requirements in Multi-stage Information Processing System Hayato Umeki (Nagoya Univ.), Yukinobu Fukushima (Okayama Univ.), Celimuge Wu (The University of Electro-Communications), Yusheng Ji (NII), Tutomu Murase (Nagoya Univ.) IN2024-108 |
This paper proposes a VM migration control method that maximizes total accuracy while satisfying the accuracy requiremen... [more] |
IN2024-108 pp.178-183 |
IN, NS (Joint) |
2025-03-07 10:10 |
Okinawa |
Okinawa Industry Support Center (Okinawa) |
Derivation Method for Optimal Request Forwarding Ratio in Edge Computing Considering Latency and Concurrent Connections Rise Fujii, Chisa Takano, Hiroyasu Obata, Inamura Katsuki (Hiroshima City Univ.), Yasuhiro Ohishi (IIJ) IN2024-110 |
In recent years, distributed container deployment over a wide area using Kubernetes has been required in edge computing ... [more] |
IN2024-110 pp.190-195 |
IN, NS (Joint) |
2025-03-07 13:50 |
Okinawa |
Okinawa Industry Support Center (Okinawa) |
Optimal Admission Control Method for Multi-Job Environments Using Probabilistic Threshold with Waiting Queue Teppei Zaima, Yoshiaki Kitaguchi, Katsunori Yamaoka (Science Tokyo) IN2024-128 |
In the conventional threshold-based multi-job optimal control method designed to reduce the response time of soft real-t... [more] |
IN2024-128 pp.306-311 |
IN, NS (Joint) |
2025-03-07 14:50 |
Okinawa |
Okinawa Industry Support Center (Okinawa) |
MEC Host and Path Assignment Method for End-to-End Latency Assurance in Multi-access Edge Computing Environment Sora Akagawa (Osaka Metropolitan Univ.), Nicolas Schnepf (Inria), Daishi Kondo, Hideki Tode (Osaka Metropolitan Univ.) NS2024-261 |
MEC has been attracting attention as an edge computing technology capable of enabling low-latency and high-bandwidth net... [more] |
NS2024-261 pp.384-389 |
NS, RCS (Joint) |
2024-12-19 18:40 |
Hokkaido |
Hakodate Arena + Online (Hokkaido, Online) (Primary: On-site, Secondary: Online) |
MEC Architecture Supporting Application Service Policy Management with 5GC Takumi Ishihara (Keio Univ./SB), Hiroki Watanabe (SB), Katsuhiro Horiba (SB (at that time)), Keisuke Uehara (Keio Univ.) NS2024-158 |
Edge computing is a technology that provides optimal services based on the user's location while ensuring low latency, h... [more] |
NS2024-158 pp.86-91 |
NS, RCS (Joint) |
2024-12-19 19:05 |
Hokkaido |
Hakodate Arena + Online (Hokkaido, Online) (Primary: On-site, Secondary: Online) |
A case study of a rule-based security method for distributed data stores for edge computing assuming mobile clients Koki Fujii, Tomio Kamada (Konan Univ.) NS2024-159 |
Edge computing is expected to be applied to traffic information and other fields that require low-latency data access.
... [more] |
NS2024-159 pp.92-97 |
NS, RCS (Joint) |
2024-12-20 11:45 |
Hokkaido |
Hakodate Arena + Online (Hokkaido, Online) (Primary: On-site, Secondary: Online) |
Dynamic traffic distribution method of edge servers via Telco API Akira Ito, Toru Furusawa, Zhong Lei (TMC), Takurou Sakai, Tatsuki Agatsuma, Takeshi Kitahara (KDDI) NS2024-165 |
The increasing number of connected cars, the diversification of services, and the expanding use of AI are driving higher... [more] |
NS2024-165 pp.126-131 |
SIS |
2024-12-05 14:40 |
Osaka |
Osaka Electro-Communication University (Osaka, Online) (Primary: On-site, Secondary: Online) |
[Tutorial Lecture]
Artificial Intelligence on Edge Computing for Object Recognition Applications Nico Surantha (TCU) SIS2024-35 |
The rapid growth of the Internet of Things (IoT) and smart devices has led to an increasing demand for real-time data pr... [more] |
SIS2024-35 pp.25-30 |
SRW, SeMI (Joint) |
2024-11-28 14:15 |
Tokyo |
Tokyo Univ. of Science Katsushika Campus (Tokyo, Online) (Primary: On-site, Secondary: Online) |
Load balancing for edge-computing empowered autonomous-driving with multiple vehicles Masaki Wago, Kuon Akiyama, Ryoichi Shinkuma, Gabriele Trovato (SIT) SRW2024-30 SeMI2024-42 |
The demand for public transportation has increased with rapid urbanization. The number of autonomous micro-mobility vehi... [more] |
SRW2024-30 SeMI2024-42 pp.15-18 |
RISING (3rd) |
2024-11-12 11:15 |
Hokkaido |
Kaderu 2・7 (Sapporo) (Hokkaido) |
[Poster Presentation]
A Decentralized Validation Approach for Mitigating Semi-Targeted Model Poisoning Attacks in Federated Learning Makihiro Go (SIT), Shota Ono (UTokyo), Taku Yamazaki, Takumi Miyoshi (SIT) |
Federated Learning (FL) enables decentralized model training across multiple devices or organizations, preserving data p... [more] |
|
OFT, OCS, IEE-CMN, ITE-BCT, CQ (Joint) [detail] |
2024-11-07 10:00 |
Kochi |
(Kochi) |
Enhancing Deep Reinforcement Learning for MEC Task Offloading with Fuzzy Logic Based Pre-training Jiujie Zhang, Zhaoyang Du, Yangfei Lin, Celimuge Wu (UEC) CQ2024-58 |
The joint optimization of task offloading in Mobile Edge Computing (MEC) presents a complex challenge. Deep Reinforcemen... [more] |
CQ2024-58 pp.6-11 |
OFT, OCS, IEE-CMN, ITE-BCT, CQ (Joint) [detail] |
2024-11-08 10:00 |
Kochi |
(Kochi) |
Optimization of virtual machine allocation for failure recovery in edge computing environments Hideyoshi Miura, Kouji Hirata (Kansai Univ.) CQ2024-64 |
This paper proposes a Virtual Machine (VM) allocation method considering Multiple Routing Configurations (MRC) with edge... [more] |
CQ2024-64 pp.31-35 |
CS (2nd) |
2024-11-07 14:05 |
Osaka |
I-site Namba, Osaka Metropolitan Univ. (Osaka) |
[Invited Talk]
Takuma Okamoto (NICT) |
NICT has successfully developed a 21-language, fast and high-fidelity neural text-to-speech technology. The development ... [more] |
|
MIKA (3rd) |
2024-10-28 15:40 |
Okayama |
Okayama Convention Center (Okayama) |
[Poster Presentation]
Study of service chaining in edge computing UAVs Yuichiro Sugita, Tomotaka Kimura, Tei shun (Doshushadai) |
In this presentation, we consider service chaining in edge computing-type UAVs. In recent years, the use of edge computi... [more] |
|
SIS, ITE-BCT |
2024-10-03 16:40 |
Hokkaido |
Hokusei Gakuen Univ. (Hokkaido, Online) (Primary: On-site, Secondary: Online) |
[Invited Talk]
Near-data AI Processors and Hardware-Software Co-optimization Kota Ando (Hokkaido Univ.) SIS2024-22 |
Widely spreading AI applications are highly dependent on cloud computing. Specifically, AI applications based on neural ... [more] |
SIS2024-22 p.36 |
CPSY, DC, RECONF, IPSJ-ARC [detail] |
2024-08-08 17:50 |
Tokushima |
Awagin Hall (Tokushima, Online) (Primary: On-site, Secondary: Online) |
Basic Evaluation of Throughput and Power Efficiency by Offloading Image Recognition Processing to FPGA Eisuke Okazaki, Gai Nagahashi (Tokai Univ.), Yanzhi Li, Midori Sugaya (SIT), Takeshi Ohkawa (Kumamoto Univ.), Mikiko Sato (Tokai Univ.) CPSY2024-26 DC2024-26 RECONF2024-26 |
Multi-access Edge Computing (MEC) is a computing infrastructure that provides low-latency communication with nearby edge... [more] |
CPSY2024-26 DC2024-26 RECONF2024-26 pp.52-57 |
CPSY, DC, RECONF, IPSJ-ARC [detail] |
2024-08-09 09:50 |
Tokushima |
Awagin Hall (Tokushima, Online) (Primary: On-site, Secondary: Online) |
An Acceleration Method for Distributed Reinforcement Learning in Edge-Cloud Environments Using Experience Cache Tomohiro Ojika, Kousei Kudatatsu (Toyama Prefectural Univ.), Hiroki Matsutani (Keio Univ.), Shin Morishima (Toyama Prefectural Univ.) CPSY2024-28 DC2024-28 RECONF2024-28 |
(To be available after the conference date) [more] |
CPSY2024-28 DC2024-28 RECONF2024-28 pp.63-68 |