KAMADA Tomio
Position |
Professor |
Research Field |
Informatics / Information network, Informatics / High performance computing, Informatics / Software, Informatics / Intelligent informatics |
Homepage URL |
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External Link |
Faculty of Intelligence and Informatics, Faculty of Intelligence and Informatics Department of Intelligence and Informatics
Updated on 2025/04/09
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KAMADA Tomio
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Poster: Multi-Agent Transformer for Dynamic Allocation of Distributed Applications on the Edge
Ryota Matsumoto, Patrick Finnerty, Chikara Ohta, Tomio Kamada
IEEE Vehicular Networking Conference, VNC 255 - 256 2024
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Edge computing has to potential to deliver vital low-latency services for ITS. However, due to the limited resources available on the edge, carefully allocating such services and adapting to changes in client distribution is necessary. In this poster, we show that a MAT reinforcement learning approach can perform better than heuristics.
Automatically balancing relocatable distributed collections Reviewed
Patrick Finnerty, Tomio Kamada, Chikara Ohta
Concurrency and Computation: Practice and Experience 35 ( 27 ) e7717 2023.4
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Distributed Cell Set : A Library for Space-Dependent Communication/Computation Overlap on Manycore Cluster Reviewed
Yoshiki Kawanishi, Patrick Finnerty, Tomio Kamada, Chikara Ohta
Proceedings of the 14th International Workshop on Programming Models and Applications for Multicores and Manycores 2023.2
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Hajime Migita, Taiyo Tanaka, Shuji Yamaguchi, Makoto Takenaka, Patrick Finnerty, Tomio Kamada, Chikara Ohta
2022 IEEE 8th World Forum on Internet of Things (WF-IoT) 2022.10
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Supercharging the APGAS Programming Model with Relocatable Distributed Collections Reviewed
Patrick Finnerty, Yoshiki Kawanishi, Tomio Kamada, Chikara Ohta
Scientific Programming 2022.9
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Project CASSIA —Framework for Exhaustive and Large-Scale Social Simulation—. In: Sato M. (eds) Advanced Software Technologies for Post-Peta Scale Computing
Itsuki Noda, Yohsuke Murase, Nobuyasu Ito, Kiyoshi Izumi, Hiromitsu Hattori, Tomio Kamada, Hideyuki Mizuta, Mikio Takeuchi( Role: Joint author)
Springer 2019.1 ( ISBN:9789811319235 )
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[技術・研究報告] Pythonを用いたクラウドプログラミング演習 ―基本と実践の両立に向けた試み―
鎌田十三郎
甲南大学紀要.知能情報学編 17 ( 2 ) 105 - 114 2025.2
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Authorship:Lead author, Last author, Corresponding author Publishing type:Article, review, commentary, editorial, etc. (bulletin of university, research institution)
DOI: 10.14990/0002000568
エッジ環境向け分散データストアのためのセキュリティ機構と移動クライアントを想定した評価実験
藤井 広輝, 鎌田十三郎
電子情報通信学会技術研究報告,ネットワークシステム研究会 124 ( 310 ) 92 - 97 2024.12
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車載UWB通信のためのポーリングスケジューリング最適化と実装評価—Optimization and Implementation Evaluation of Polling Scheduling for In-vehicle UWB Communications
太田 能, 田中 太陽, 右田 創, 山口 修史, 竹中 誠, フィネルティ パトリック, 鎌田 十三郎
システム制御情報学会研究発表講演会講演論文集 66 656 - 660 2022.5
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A study on cluster optimization in wireless sensor networks based on linear programming
Sidi Mohamed, Mohi Dine, Patrick Finnerty, Tomio Kamada, Chikara Ohta
661 - 668 2022.5
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エッジ環境向け分散 publish-process-subscribeシステムにおける近接通知の低遅延化に関する一検討
松本 凌太, 鎌田 十三郎, フィネルティ パトリック, 太田 能
電子情報通信学会2022総合大会講演論文集 通信2 111 - 111 2022.3
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死角にいる歩行者の情報共有を目的とした歩行者マップに関する一検討
福田亘剛, 榎並直子, 鎌田 十三郎, フィネルティ パトリック, 太田能
2024年電子情報通信学会総合大会 2024.3
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偏在するモバイルクライアントを想定した地域データ共有エッジアプリケーションの開発環境
鎌田十三郎, 山下優真, 藤澤和広, 釆野翔太, フィネルティ パトリック, 太田能
2024年電子情報通信学会総合大会 2024.3
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藤井広輝, 鎌田十三郎
2024年電子情報通信学会総合大会 2024.3
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低遅延エッジアプリケーション開発のためのコンフィギュアラブルテストベッド
釆野翔太, Patrick Finnerty, 鎌田十三郎, 太田能
2023年電子情報通信学会ソサイエティ大会 2023.9
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PlhamJ: Platform for Large-scale and High-frequency Artificial Market (Java version)
KAMADA TOMIO, Takuma Torii, Kiyoshi Izumi, Hiroto Yonenoh, Daisuke Fujishima, Izuru Matsuura, Masanori Hirano, Tosiyuki Takahashi
2019.3
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Work type:Software
Plham is a platform for artificial market simulations.
PlhamJ is a Java version of Plham. Only a sequential version is currently supported.
Plham: Platform for large-scale and high-frequency artificial market
Takuma Torii, Kiyoshi Izumi, Tomio Kamada
2016.4
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Takuya Hatadani, Tomio Kamada
2014.12
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Work type:Software
This library provide a kind of a joined view of several Ext Models. Using with ForCoherency Proxy, the joined view is automatically updated when the source elements of the joined view has update.
Establishment of rule-based real-time information processing and sharing infrastructure for low-latency edge applications
2024.4 - 2027.3
JSPS Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research(C)
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Integrated development of quantum annealing optimization into an edge computing platform
2022.4 - 2026.3
JSPS Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research(B)
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Distributed Data Management Library for Large-Scale Many-Core Clusters and its Integration with Dynamic Load Balancers
2020.4 - 2023.3
JSPS Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research(C)
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Vertical integrated development of communication platform for edge computing
2018.4 - 2022.3
JSPS Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research(B)
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Introduction of a branching facility into large-scale agent simulation
2016.4 - 2019.3
JSPS Grants-in-Aid for Scientific Research Grant-in-Aid for challenging Exploratory Research
KAMADA Tomio, Fujishima Daisuke, Nagato Takehiro, Izumi Kiyoshi, Matsuura Izuru
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Authorship:Principal investigator
In the field of social simulation, a large number of simulations are performed while changing parameters in order to validate the model or new regulations to be introduced. The results are analyzed after execution. However, when the scale of the simulation becomes large, the execution of various simulation becomes difficult.
The goal of this research is to realize a function to branch the simulation world that is executed in distributed parallel computers and concurrently execute each parallel world in order to apply the detailed analysis of running parallel worlds. To attain this goal, we have developed a distributed collection library to manage simulation data distributed among distributed machines and allow easy descriptions of data distribution/relocation and parallel processing using multi-core CPUs. In addition, we implemented the branch execution function on Plham: Platform for large-scale and high-frequency artificial market.
情報オリンピック日本委員会 レギオ講習会講師
Role(s): Lecturer
情報オリンピック日本委員会 2009
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