Results 81 to 90 of about 3,474 (205)
Although granular resource management has been made possible by the architectural shift to Prefill-Decode (PD) disaggregation in Large Language Model (LLM) serving, it is still difficult to maintain strict Service Level Objectives (SLOs) under bursty ...
Seyed Hossein Ahmadpanah +2 more
doaj +1 more source
In the context of scaling a business-critical medical service that involves electronic medical record storage deployed in Kubernetes clusters, this research addresses the need to optimize the configuration parameters of horizontal pod autoscalers for ...
Dariusz R. Augustyn +2 more
doaj +1 more source
Citation: 'autoscaling' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.10044 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms.
openaire +1 more source
Serverless Functions in Cloud–Edge Environments: A Comprehensive Critical Review and Taxonomy
Cloud–edge continuums are driving the shift of cloud-native applications from centralized data centers to latency-, mobility-, privacy-, and energy-saving applications.
Abdullah Abbasi +8 more
doaj +1 more source
ILP Optimized LSTM-based Autoscaling and Scheduling of Containers in Edge-cloud Environment
Edge computing is a decentralized computing paradigm that brings computation and data storage closer to data sources, enabling faster processing and reduced latency.
Shivan Singh +4 more
doaj +1 more source
Implementation Autoscaling Container Web Server using Kubernetes Promox Based on Server University of Darussalam Gontor [PDF]
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
Performance and viability analysis of deploying cloud-native 5G autoscaling platforms
5G mobile network technology is undergoing rapid deployment. Autoscaling in 5G refers to the dynamic allocation and removal of network functions based on real-time service demand.
Ren, Yi +4 more
core +3 more sources
Pretreatment Methods for Enhancing Machine Learning Performance on Metabolomics Data
Pretreatment methods are critical for metabolomics data analysis, yet their impact on machine learning performance remains insufficiently explored.
Rustam
doaj +1 more source
Methods of autoscaling and scheduling in Cloud Computing [PDF]
Структура дипломної роботи: Загальний об’єм пояснювальної записки: 96 сторінок, 48 рисунків, 6 таблиць, 32 посилання, 9 додаток. Актуальність теми. Найбільш популярною перевагою у використанні автоматичного масштабування є потенційно велика економія ...
Тринус, Нікіта Вячеславович
core
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

