Results 81 to 90 of about 1,278 (112)

Application of Proximal Policy Optimization for Resource Orchestration in Serverless Edge Computing

Computers
Serverless computing is a new cloud computing model suitable for providing services in both large cloud and edge clusters. In edge clusters, the autoscaling functions play a key role on serverless platforms as the dynamic scaling of function instances ...
Mauro Femminella, Gianluca Reali
doaj   +1 more source

Fast autoscaling algorithm for cost optimization of container clusters

Journal of Cloud Computing: Advances, Systems and Applications
Container clusters are widely used to execute containerized applications in cloud environments. An essential characteristic implemented by these clusters is autoscaling, which is the ability to automatically adapt the computing resources of a cluster to ...
José María López, Joaquín Entrialgo, Manuel García, Javier García, José Luis Díaz, Rubén Usamentiaga   +5 more
doaj   +1 more source

AgileSphere: Predictive-Reactive Kubernetes Cluster Autoscaling With Warm-Pool Node Promotion

IEEE Access
Container orchestration platforms have made cloud-native deployment routine, but autoscaling at the cluster level remains a persistent source of capacity-pressure service-level objective (SLO) violations under bursty workloads.
Pooyan Habibi, Sushil Rawat, Alberto Leon-Garcia   +2 more
doaj   +1 more source

Autoscaling Method for Docker Swarm Towards Bursty Workload [PDF]

The autoscaling mechanism of cloud computing can automatically adjust computing resources according to user needs, improve quality of service (QoS) and avoid over-provision.
Huang, Qichen, Ding, Zhijun, Wang, Song
core  

Preprint: MAS-H2: A Hierarchical Multi-Agent System for Holistic Cloud-Native Autoscaling

Autoscaling in cloud-native platforms like Kubernetes is reactive and metric-driven, leading to a strategic void problem. This comes from the decoupling of higher-level business policies from lower-level resource provisioning. The strategic void, coupled
Hamed Hamzeh, Parisa Vahdatian
core   +1 more source

On the Optimization of Kubernetes toward the Enhancement of Cloud Computing

Mathematics
With the vigorous development of big data and cloud computing, containers are becoming the main platform for running applications due to their flexible and lightweight features.
Subrota Kumar Mondal, Zhen Zheng, Yuning Cheng   +2 more
doaj   +1 more source

Machine Learning-Based Kubernetes Autoscaling: A Comprehensive Review of HPA, VPA, Cluster Autoscaler, and KEDA Approaches

Kubernetes has become the dominant orchestration platform for cloud-native applications, where autoscaling plays a critical role in maintaining performance, availability, and infrastructure efficiency.
Ratana Soth, Sa Math, Tharoeun Thap
core   +1 more source

pHPA: A Proactive Autoscaling Framework For Microservice Chain

, 2021
Microservice is an architectural style that breaks down monolithic applications into smaller microservices and has been widely adopted by a variety of enterprises.
Choi, Byungkwon, Park, Jinwoo, Lee, Chunghan, Han, Dongsu   +3 more
core  

Adaptive Multi-Metric Autoscaling for Serverless Platforms

Serverless computing has emerged as an efficient paradigm for scalable and cost-effective cloud application deployment through dynamic resource allocation.
Mostafa Ghobayee-Arani, Jafar Pouramini, Mohammad Tari   +2 more
core   +1 more source

Implementasi Autoscaling Server Pada Aplikasi Microservice Distributed Imageserver

, 2023
Dalam era digitalisasi saat ini, kebutuhan akan layanan yang cepat, andal, dan dapat diskalakan sesuai kebutuhan menjadi hal yang sangat penting bagi perusahaan-perusahaan yang bergerak di bidang teknologi.
Maulana, Rakha Fauzi
core