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The 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 +4 more sources
Intelligent Autoscaling of Microservices in the Cloud for Real-Time Applications
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.
Ilkyeun Ra
exaly +3 more sources
An Efficient Multivariate Autoscaling Framework Using Bi-LSTM for Cloud Computing
With the rapid development of 5G technology, the need for a flexible and scalable real-time system for data processing has become increasingly important.
Myungsik Yoo
exaly +3 more sources
Toward Optimal Load Prediction and Customizable Autoscaling Scheme for Kubernetes
Most enterprise customers now choose to divide a large monolithic service into large numbers of loosely-coupled, specialized microservices, which can be developed and deployed separately.
Hong-Ning Dai, Mondal Subrota Kumar
exaly +3 more sources
Deep Learning-Based Autoscaling Using Bidirectional Long Short-Term Memory for Kubernetes
Presently, the cloud computing environment attracts many application developers to deploy their web applications on cloud data centers. Kubernetes, a well-known container orchestration for deploying web applications on cloud systems, offers an automatic ...
Myungsik Yoo
exaly +3 more sources
The deployment of virtual machines (VMs) within the Infrastructure as a Service (IaaS) layer across public, private, or hybrid cloud infrastructures is prevalent in various organisational settings for hosting essential business services.
Kamran Munir, Zaheer Khan
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Horizontal Pod Autoscaling in Kubernetes for Elastic Container Orchestration
Kubernetes, an open-source container orchestration platform, enables high availability and scalability through diverse autoscaling mechanisms such as Horizontal Pod Autoscaler (HPA), Vertical Pod Autoscaler and Cluster Autoscaler. Amongst them, HPA helps
Taehong Kim +2 more
exaly +3 more sources
Proactive Random-Forest Autoscaler for Microservice Resource Allocation
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
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
Online Workload Burst Detection for Efficient Predictive Autoscaling of Applications
Autoscaling methods are employed to ensure the scalability of cloud-hosted applications. The public-facing applications are prone to receive sudden workload bursts, and the existing autoscaling methods do not handle the bursty workloads gracefully. It is
Fatima Tahir +4 more
doaj +1 more source

