Optimizing resource allocation using proactive scaling with predictive models and custom resources

B Kumar, A Verma, P Verma - Computers and Electrical Engineering, 2024 - Elsevier
Kubernetes-based containerized applications heavily rely on distributing network workloads
among cluster applications, primarily because of the frequent resource requests and limited …

An ICN-based on-path computing resource scheduling architecture with user preference awareness for computing network

Z Ni, J You, Y Li - Electronics, 2024 - mdpi.com
The Computing Network is an emerging network paradigm that aims to realize computing
resource scheduling through the intrinsic capabilities of the network. However, existing …

Multi-application hierarchical autoscaling for kubernetes edge clusters

I Dimolitsas, D Spatharakis… - … on Smart Computing …, 2023 - ieeexplore.ieee.org
The dynamic workload demands of smart city applications hosted on edge infrastructures
require the development of advanced scaling mechanisms. Recent studies proposed single …

[PDF][PDF] Optimal Resource Orchestration of Distributed 5G Applications over the Cloud Continuum

I Dimolitsas - 2024 - dspace.lib.ntua.gr
The rapid advancement of fifth-generation (5G) wireless network technology has enabled a
wide range of innovative applications with diverse requirements, including ultra-low latency …

A Synergetic Meta-Orchestration Framework for Distributed Application Deployments in the Computing Continuum

N Filinis, I Dimolitsas, D Spatharakis… - Proceedings of the 1st …, 2024 - dl.acm.org
The rapid evolution of the Internet of Things (IoT) and edge computing is driving a shift
towards distributed computing continuum systems. These systems integrate virtualization …

Energy-Efficient Performance Optimization in Kubernetes Microservices Using Generalized Stochastic Petri Net

I Fe, TA Nguyen, EM Choi, D Min, JW Lee… - Available at SSRN … - papers.ssrn.com
The advantages of microservices system architectures orchestrated by Kubernetes include
their capacity to adjust dynamically to meet varying demand, thereby ensuring application …