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Burst-Aware Predictive Autoscaling for Containerized Microservices [PDF]
IEEE Transactions on Services Computing, 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 ...
Muhammad Abdullah +2 more
exaly +5 more sources
Intelligent Autoscaling of Microservices in the Cloud for Real-Time Applications
IEEE Access, 2021 Cloud applications are becoming more containerized in nature. Developing a cloud application based on a microservice architecture imposes different challenges including scalability at the container level.
Abeer Abdel Khaleq, Ilkyeun Ra
exaly +3 more sources
Predictive Autoscaling of Microservices Hosted in Fog Microdata Center
IEEE Systems Journal, 2021 Fog computing provides microdata center (MDC) facilities closer to the users and applications, which help to overcome the application latency and response time concerns.
Muhammad Abdullah +2 more
exaly +2 more sources
MagicScaler: Uncertainty-Aware, Predictive Autoscaling [PDF]
Proceedings of the VLDB Endowment, 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 +4 more sources
Wide area network autoscaling for cloud applications [PDF]
Proceedings of the ACM SIGCOMM 2021 Workshop on Network-Application Integration, 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 +7 more sources
Multilayered Autoscaling Performance Evaluation: Can Virtual Machines and Containers Co–Scale?
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
Frontiers in Computer ScienceThe advancement of cloud computing technologies has led to increased usage in application deployment in recent years. Kubernetes, a widely used container orchestration platform for deploying applications on cloud systems, provides benefits such as ...
Pasan Bhanu Guruge +1 more
exaly +3 more sources
Proactive Random-Forest Autoscaler for Microservice Resource Allocation
IEEE Access, 2023 Cloud service providers have been shifting their workloads to microservices to take advantage of their modularity, flexibility, agility, and scalability. However, numerous obstacles remain to achieving the most out of microservice deployments, especially
Lamees M. Al Qassem +3 more
doaj +1 more source
EdgeX over Kubernetes: Enabling Container Orchestration in EdgeX
Applied Sciences, 2021 With the exponential growth of the Internet of Things (IoT), edge computing is in the limelight for its ability to quickly and efficiently process numerous data generated by IoT devices.
Seunghwan Lee +4 more
doaj +1 more source
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