Results 111 to 120 of about 6,694 (179)

Kubernetes and the Edge?

open access: yes, 2020
Cloud Computing infrastructures have highlighted the importance of container orchestration software to manage the life cycle of distributed applications. With the advent of Edge Computing era, DevOps expect to find features that made the success of containerized applicationsin the cloud, also at the edge.
Manaouil, Karim, Lebre, Adrien
openaire   +1 more source

Gwydion: Efficient auto-scaling for complex containerized applications in Kubernetes through Reinforcement Learning

open access: yesJournal of Network and Computer Applications
José Santos   +4 more
semanticscholar   +1 more source

kubeFlower: A privacy-preserving framework for Kubernetes-based federated learning in cloud-edge environments

open access: yesFuture generations computer systems
J. Parra-Ullauri   +8 more
semanticscholar   +1 more source

A Comparison of Kubernetes and Kubernetes-Compatible Platforms

2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2021
Nowadays, Kubernetes is an advanced container orchestration tool due to its high reliability, scalability and fault tolerance. However, Kubernetes requires a significant number of resources for its work. Therefore, to ensure the operation of Kubernetes in conditions of limited resources, lightweight analogues such as MicroKubernetes and K3S were ...
Sergii Telenyk   +3 more
openaire   +3 more sources

On the Resource Management of Kubernetes

2021 International Conference on Information Networking (ICOIN), 2021
Kubernetes is the most popular container orchestration platform that enables users to create and run multiple containers in cloud environments. Kubernetes offers resource management to isolate the resource usage of containers on a host server because performance isolation is an important factor in terms of service quality.
Eunsook Kim, Kyungwoon Lee, Chuck Yoo
openaire   +1 more source

Hierarchical Scaling of Microservices in Kubernetes

2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), 2020
In the last years, we have seen the increasing adoption of the microservice architectural style where applications satisfy user requests by invoking a set of independently deployable services. Software containers and orchestration tools, such as Kubernetes, have simplified the development and management of microservices.
Rossi Fabiana   +2 more
openaire   +2 more sources

EPScan: Automated Detection of Excessive RBAC Permissions in Kubernetes Applications

IEEE Symposium on Security and Privacy
As the dominant container orchestration system, Kubernetes has a large ecosystem of third-party applications. The third-party Kubernetes applications access various cluster resources to extend the cluster functionality and Kubernetes adopts the RBAC ...
Yue Gu   +4 more
semanticscholar   +1 more source

Sharpening Kubernetes for the Edge

Proceedings of the ACM SIGCOMM 2019 Conference Posters and Demos, 2019
Kubernetes has become the most popular cluster manager during the past 5 years. It is used primarily for orchestrating data center deployments running web applications. Its powerful features, e.g., self-healing and scaling, have attracted a huge community, which in turn, is inducing a meteoric rise of this open source project.
Dávid Haja   +4 more
openaire   +2 more sources

Simplifying Root Cause Analysis in Kubernetes with StateGraph and LLM

arXiv.org
Kubernetes, a notably complex and distributed system, utilizes an array of controllers to uphold cluster management logic through state reconciliation. Nevertheless, maintaining state consistency presents significant challenges due to unexpected failures,
Yong Xiang   +6 more
semanticscholar   +1 more source

KIS-S: A GPU-Aware Kubernetes Inference Simulator with RL-Based Auto-Scaling

IEEE International Performance, Computing, and Communications Conference
Autoscaling GPU inference workloads in Kubernetes remains challenging due to the reactive and threshold-based nature of default mechanisms such as the Horizontal Pod Autoscaler (HPA), which struggle under dynamic and bursty traffic patterns and lack ...
Guilin Zhang   +4 more
semanticscholar   +1 more source

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