Priority-Aware Dynamic Resource Allocation Method for RCSA in Multi-Core Fiber Networks
菜穂子 吉川, Yutaka Fukuchi, Kouji Hirata
jp (code pays fourni par la source)
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菜穂子 吉川, Yutaka Fukuchi, Kouji Hirata
jp (code pays fourni par la source)
Daiki Kurogochi, Tomotaka Kimura, Kouji Hirata, Jun Cheng
jp (code pays fourni par la source)
Toki Yamauchi, Hideyoshi Miura, Tomotaka Kimura, Kouji Hirata
jp (code pays fourni par la source)
Shoma Yamaguchi, Kosuke Koshima, Hideyoshi Miura, Shohei Kamamura et autres
jp (code pays fourni par la source)
Mao Kikumoto, Nao Maeda, Shohei Kamamura, Tomotaka Kimura et autres
jp (code pays fourni par la source)
Yusei Kimura, Yutaka Fukuchi, Kouji Hirata
jp (code pays fourni par la source)
Kosuke Koshima, Shoma Yamaguchi, Hideyoshi Miura, Shohei Kamamura et autres
jp (code pays fourni par la source)
In this paper, we propose Virtual Machine (VM) allocation methods that provide continuous services even in the presence of failures in edge computing systems. On edge servers in edge computing systems, various services and applications requested by users are executed on VMs …
jp (code pays fourni par la source)
Nao Maeda, Tomotaka Kimura, Kouji Hirata
In this paper, we propose a hierarchical clustering-based trajectory planning method for multiple Unmanned Aerial Vehicles (UAVs) in UAV-assisted edge computing systems. Edge computing systems have been developed to efficiently process data collected from client nodes at edge servers deployed near the …
jp (code pays fourni par la source)
Although traffic monitoring is essential for network optimization, the bandwidth for traffic collection is often limited. This paper proposes an adaptive traffic monitoring algorithm that changes the granularity of traffic monitoring according to the IP network conditions to reduce the amount of …
jp (code pays fourni par la source)
Hideyoshi Miura, Ryo Kaneko, Tomotaka Kimura, Kouji Hirata
In this paper, we discuss a trajectory decision problem of Unmanned Aerial Vehicles (UAVs) for UAV-based edge computing systems. In the UAV-based edge computing systems, some UAVs having computing resources fly over a given area to process data generated by clients such …
jp (code pays fourni par la source)
Naohiro Kubota, Hideyoshi Miura, Tomotaka Kimura, Kouji Hirata
In this paper, we propose a reinforcement learningbased trajectory design method for multiple unmanned aerial vehicles (UAVs) for cooperative task allocation. Each UAV employs a Deep Q-Network (DQN) to process tasks in designated areas by traversing them as checkpoints. The UAVs jointly …
jp (code pays fourni par la source)
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