Results 11 to 20 of about 1,278 (112)
Multilayered Autoscaling Performance Evaluation: Can Virtual Machines and Containers Co–Scale? [PDF]
International Journal of Applied Mathematics and Computer Science, 2019 The wide adoption of cloud computing by businesses is due to several reasons, among which the elasticity of the cloud virtual infrastructure is the definite leader.
Podolskiy Vladimir +2 more
doaj +2 more sources
Attention-Enhanced Multivariate Forecasting for Intelligent Microservice Autoscaling
Journal of Applied Informatics and ComputingProactive autoscaling in cloud-native microservices requires anticipatory decisions because reactive controllers often lag under abrupt workload shifts. This study aims to improve autoscaling decision quality through a two-stage machine learning pipeline.
Nur Saifuddin +2 more
doaj +2 more sources
Enhancing Cloud Efficiency using Intelligent Autoscaling Algorithms [PDF]
, 2023 Cloud computing has revolutionized the way data and applications are managed, offering scalable, flexible, and cost-effective solutions. A critical aspect of cloud computing is autoscaling, the ability to dynamically adjust computing resources to match ...
Rahane, Pushkar Deodatta
core +3 more sources
Burst-aware predictive autoscaling for containerized microservices [PDF]
, 2022 Autoscaling methods are used for cloud-hosted applications to dynamically scale the allocated resources for guaranteeing Quality-of-Service (QoS). The public-facing application serves dynamic workloads, which contain bursts and pose challenges for ...
Iqbal, Waheed +4 more
core +1 more source
MagicScaler: Uncertainty-Aware, Predictive Autoscaling [PDF]
, 2023 Predictive autoscaling is a key enabler for optimizing cloud resource allocation in Alibaba Cloud’s computing platforms, which dynamically adjust the Elastic Compute Service (ECS) instances based on predicted user demands to ensure Quality of Service ...
Yingying Zhang +27 more
core +1 more source
Self-aware and self-adaptive autoscaling for cloud based services [PDF]
, 2016 Modern Internet services are increasingly leveraging on cloud computing for flexible, elastic and on-demand provision. Typically, Quality of Service (QoS) of cloud-based services can be tuned using different underlying cloud configurations and resources,
Chen, Tao
core +6 more sources
Wide area network autoscaling for cloud applications [PDF]
, 2021 Modern cloud orchestrators like Kubernetes provide a versatile and robust way to host applications at scale. One of their key features is autoscaling, which automatically adjusts cloud resources (compute, memory, storage) in order to adapt to the demands
Claiborne, Anna +6 more
core +4 more sources
Proactive automatic up-scaling for Kubernetes
Adaptivni Sistemi Avtomatičnogo Upravlinnâ, 2023 Modern challenges in microservice architecture requires autoscaling (upscaling and down-scaling). As an example Black Friday can be considered when load to system increases significantly and obviously more computing capabilities are need to serve it ...
D. Gutman, O. Syrota
doaj +1 more source
Predictive Hybrid Autoscaling for Containerized Applications
IEEE Access, 2022 One of the main challenges in deploying container service is providing the scalability to satisfy the service performance and avoid resource wastage.
Dinh-Dai Vu +2 more
doaj +1 more source
Traffic-Aware Horizontal Pod Autoscaler in Kubernetes-Based Edge Computing Infrastructure
IEEE Access, 2022 Container-based Internet of Things (IoT) applications in an edge computing environment require autoscaling to dynamically adapt to fluctuations in IoT device requests.
Le Hoang Phuc, Linh-An Phan, Taehong Kim
doaj +1 more source