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Flocky : decentralized intent-based edge orchestration using open application model
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Gwydion : efficient auto-scaling for complex containerized applications in Kubernetes through Reinforcement Learning
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Mixed-runtime pod networking for Kubernetes-based edge computing
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A comprehensive benchmark of flannel CNI in SDN/Non-SDN enabled cloud-native environments
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Can reinforcement learning be generalized for efficient auto-scaling in containerized clouds?
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Impact of power consumption in containerized clouds : a comprehensive analysis of open-source power measurement tools
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ChronosGuard : a hierarchical machine learning intrusion detection system for modern clouds
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Towards intent-based scheduling for performance and security in edge-to-cloud networks
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Towards optimal load balancing in multi-zone Kubernetes clusters via reinforcement learning
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Warrens : decentralized connectionless tunnels for edge container networks