研究課題/領域番号 |
22KJ1685
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補助金の研究課題番号 |
21J21552 (2021-2022)
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研究種目 |
特別研究員奨励費
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配分区分 | 基金 (2023) 補助金 (2021-2022) |
応募区分 | 国内 |
審査区分 |
小区分60060:情報ネットワーク関連
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研究機関 | 京都大学 |
研究代表者 |
Kang Rui 京都大学, 情報学研究科, 特別研究員(DC1)
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研究期間 (年度) |
2023-03-08 – 2024-03-31
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研究課題ステータス |
交付 (2023年度)
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配分額 *注記 |
2,200千円 (直接経費: 2,200千円)
2023年度: 700千円 (直接経費: 700千円)
2022年度: 700千円 (直接経費: 700千円)
2021年度: 800千円 (直接経費: 800千円)
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キーワード | virtualization / function allocation / service function chain / maintenance schedule / network resilience / fault tolerance / backup / Kubernetes |
研究開始時の研究の概要 |
Network functions need to be deployed on the server to work. Unsuitable function placement will lead to the decline of user experience and the increase of operating costs for service providers. This research provides a mathematical model and its implementation of suitable placement of network functions in edge networks aiming to fully utilize the network resources, and improve the qualities of experience and services.
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研究実績の概要 |
Manual deployment and management are becoming overwhelming with the increasing complexity of networks. Automated deployment and management are imperative and can respond to user requirements promptly. This research provides resource allocation models that cooperated with the NFV orchestration engine and improve the network performance.
The research focuses on fault tolerances for unknown failures. Two models for static and dynamic scenarios are proposed. The allocation provided by the proposed models ensures the processing ability satisfies the requirements even though there are k failed nodes in the network. The numerical results show that the proposed models reduce the E2E latency between the VNFs and increase the number of accepted requirements ensuring the resiliency of the functions.
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現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
In the past studies, three different types of failures and their resource allocation and recovery methods have been studied. The related implementation methods in real networks have also been completed.
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今後の研究の推進方策 |
In my final year, I willf ocuse on the specific issue of network resource allocation in edge networks. I will study strategies for individual decisions and their implementation in distributed networks, and compare them with previously proposed centralized approaches to propose optimal strategies for operators and users.
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