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All Technical Committee Conferences  (Searched in: Recent 10 Years)

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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 282  /  [Next]  
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
 Results 1 - 20 of 282  /  [Next]  
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