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Good Shepherds Care For Their Cattle: Seamless Pod Migration in Geo-Distributed Kubernetes
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* 2022-05-25, [https://hal.inria.fr/hal-03587358/ Good Shepherds Care For Their Cattle: Seamless Pod Migration in Geo-Distributed Kubernetes]
* 2022-02-16, [https://arxiv.org/pdf/2202.07848.pdf Singularity: Planet-Scale, Preemptible and Elastic Scheduling of AI Workloads]
* 2022-02-16, [https://arxiv.org/pdf/2202.07848.pdf Singularity: Planet-Scale, Preemptible and Elastic Scheduling of AI Workloads]
* 2020-04-30, [https://dl.acm.org/doi/abs/10.1145/3342195.3387555 Balancing efficiency and fairness in heterogeneous GPU clusters for deep learning]
* 2020-04-30, [https://dl.acm.org/doi/abs/10.1145/3342195.3387555 Balancing efficiency and fairness in heterogeneous GPU clusters for deep learning]
* 2019-10-03, [https://dl.acm.org/citation.cfm?id=3357542 Fast In-Memory CRIU for Docker Containers]
* 2019-10-03, [https://dl.acm.org/citation.cfm?id=3357542 Fast In-Memory CRIU for Docker Containers]
* 2019-09-24, [https://ieeexplore.ieee.org/document/8916436 Using Container Migration for High Performance Computing (HPC) Workloads Resilience]
* 2019-09-24, [https://ieeexplore.ieee.org/document/8916436 Using Container Migration for High Performance Computing (HPC) Workloads Resilience]
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the below stuff is now shown on the Main Page
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* 2019-09-11, [https://arxiv.org/pdf/1909.04945.pdf Performance Estimation of Container-Based Cloud-to-Fog Offloading]
* 2019-07-16, [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8754197 FastContainer: A Homeostatic System Architecture High-speed Adapting Execution Environment Changes]
* 2019-07-16, [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8754197 FastContainer: A Homeostatic System Architecture High-speed Adapting Execution Environment Changes]
* 2019-07-11, [https://ieeexplore.ieee.org/abstract/document/8814504 Exploring Potential for Non-Disruptive Vertical Auto Scaling and Resource Estimation in Kubernetes]
* 2019-07-11, [https://ieeexplore.ieee.org/abstract/document/8814504 Exploring Potential for Non-Disruptive Vertical Auto Scaling and Resource Estimation in Kubernetes]