Trust your local scaler: a continuous, decentralized approach to autoscaling [PDF]
Autoscaling is a critical component of modern cloud computing environments, improving flexibility, efficiency, and cost-effectiveness. Current approaches use centralized autoscalers that make decisions based on averaged monitoring data of managed service
Lange, Stanislav +5 more
core +1 more source
IMPLEMENTASI AUTOSCALING CONTAINER WEB SERVER MENGGUNAKAN KUBERNETES BERBASIS PROXMOX PADA SERVER UNIVERSITAS DARUSSALAM GONTOR [PDF]
, 2019 Layanan web server di Universitas Darussalam Gontor belum diaplikasikan berbasis virtualisasi. Permasalahan website pada umumnya adalah web server tidak mampu melayani jumlah permintaan yang tinggi akibatnya web server failure. Salah satu permasalahan
ROSYADI, IMRON
core +3 more sources
Implementation Autoscaling Container Web Server using Kubernetes Promox Based on Server University of Darussalam Gontor [PDF]
, 2019 Layanan web server berbasis virtualisasi di Universitas Darussalam Gontor belum diimplementasikan, selain itu permasalahan website pada umumnya yaitu web server tidak mampu melayani jumlah permintaan yang tinggi sehingga web server bisa down.
ROSYADI, IMRON +2 more
core +1 more source
ML-Based Autoscaling for Elastic Cloud Applications: Taxonomy, Frameworks, and Evaluation
Mathematical and Computational ApplicationsElastic cloud systems are increasingly employing machine learning (ML) to automate resource scaling in response to variable workloads and stringent service-level objectives. However, current ML-based autoscalers are fragmented across different platforms,
Vishwanath Srikanth Machiraju +2 more
doaj +1 more source
Strand: scalable trilateration with Node.js
Journal of Cloud Computing: Advances, Systems and Applications, 2019 This work reports on the development details and results of an experimental setup for the localization of the attendants of a music festival. The application had to be reporting in real-time the asymmetric crowd density based on the Received Signal ...
Konstantinos Tserpes +2 more
doaj +1 more source
PVA: The Persistent Volume Autoscaler for Stateful Applications in Kubernetes
IEEE AccessWith the evolution of container technology, there has been increasing interest in the operation of stateful applications in cloud environments. Kubernetes supports the management and scaling of stateful applications using features, such as StatefulSets ...
Ji-Hyun Na +6 more
doaj +1 more source
Cloud Resource Management With Turnaround Time Driven Auto-Scaling
IEEE Access, 2017 Cloud resource management research and techniques have received relevant attention in the last years. In particular, recently numerous studies have focused on determining the relationship between server-side system information and performance experience ...
Xiaolong Liu +4 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 +1 more source
Addressing Technical Challenges in Large Language Model-Driven Educational Software System
IEEE AccessThe integration of large language models (LLMs) into educational systems poses significant challenges across several key attributes, including integration, explainability, testability, and scalability.
Nacha Chondamrongkul +2 more
doaj +1 more source
Pretreatment Methods for Enhancing Machine Learning Performance on Metabolomics Data
IEEE AccessPretreatment methods are critical for metabolomics data analysis, yet their impact on machine learning performance remains insufficiently explored.
Rustam
doaj +1 more source