Cover Image

Bridding OT and PaaS in Edge-to-Cloud Continuum

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Barrios, Carlos J, Denneulin, Yves
Format:	Preprint
Published:	2025
Subjects:	Distributed, Parallel, and Cluster Computing Performance
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DREAMS: Decentralized Resource Allocation and Service Management across the Compute Continuum Using Service Affinity
by: Dinh-Tuan, Hai, et al.
Published: (2025)

The SAP Cloud Infrastructure Dataset: A Reality Check of Scheduling and Placement of VMs in Cloud Computing
by: Uhlig, Arno, et al.
Published: (2025)

Cloud Resource Allocation with Convex Optimization
by: Boghani, Shayan, et al.
Published: (2025)

Usability Evaluation of Cloud for HPC Applications
by: Sochat, Vanessa, et al.
Published: (2025)

Efficient Fault Localization in a Cloud Stack Using End-to-End Application Service Topology
by: Mathews, Dhanya R, et al.
Published: (2025)

Optimal Configuration of API Resources in Cloud Native Computing
by: Truyen, Eddy, et al.
Published: (2025)

Kubernetes in Action: Exploring the Performance of Kubernetes Distributions in the Cloud
by: Aqasizade, Hossein, et al.
Published: (2024)

WebAssembly and Unikernels: A Comparative Study for Serverless at the Edge
by: Besozzi, Valerio, et al.
Published: (2025)

Sampling in Cloud Benchmarking: A Critical Review and Methodological Guidelines
by: Akbari, Saman, et al.
Published: (2025)

Collaborative Processing for Multi-Tenant Inference on Memory-Constrained Edge TPUs
by: Ng, Nathan, et al.
Published: (2026)

Evaluating HPC-Style CPU Performance and Cost in Virtualized Cloud Infrastructures
by: Tharwani, Jay, et al.
Published: (2025)

Resource Management Schemes for Cloud-Native Platforms with Computing Containers of Docker and Kubernetes
by: Mao, Ying, et al.
Published: (2020)

Cloud Performance Decomposition for Long-Term Performance Engineering: A Case Study
by: Debnath, Shimul, et al.
Published: (2026)

CASA: A Framework for SLO and Carbon-Aware Autoscaling and Scheduling in Serverless Cloud Computing
by: Qi, S., et al.
Published: (2024)

Rethinking Inference Placement for Deep Learning across Edge and Cloud Platforms: A Multi-Objective Optimization Perspective and Future Directions
by: Zhang, Zongshun, et al.
Published: (2025)

Evaluation of computational and energy performance in matrix multiplication algorithms on CPU and GPU using MKL, cuBLAS and SYCL
by: Torres, L. A., et al.
Published: (2024)

FluxSieve: Unifying Streaming and Analytical Data Planes for Scalable Cloud Observability
by: Vogel, Adriano, et al.
Published: (2026)

Performance Impact of Containerized METADOCK 2 on Heterogeneous Platforms
by: Banegas-Luna, Antonio Jesús, et al.
Published: (2025)

Adaptive DNN Partitioning and Offloading in Heterogeneous Edge-Cloud Continuum
by: Deng, Akuen Akoi, et al.
Published: (2026)

A Performance Analysis of BFT Consensus for Blockchains
by: Chan, J. D., et al.
Published: (2024)

ContinuumConductor : Decentralized Process Mining on the Edge-Cloud Continuum
by: Reiter, Hendrik, et al.
Published: (2025)

Distributed Edge Analytics in Edge-Fog-Cloud Continuum
by: Srirama, Satish Narayana
Published: (2024)

CloudFormer: An Attention-based Performance Prediction for Public Clouds with Unknown Workload
by: Shahbazinia, Amirhossein, et al.
Published: (2025)

AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms from a Unified, Transpiled Codebase
by: Nicusan, Andrei-Leonard, et al.
Published: (2025)

EdgeProfiler: A Fast Profiling Framework for Lightweight LLMs on Edge Using Analytical Model
by: Pinnock, Alyssa, et al.
Published: (2025)

Performance and scaling of the LFRic weather and climate model on different generations of HPE Cray EX supercomputers
by: Bull, J. Mark, et al.
Published: (2024)

Constructive community race: full-density spiking neural network model drives neuromorphic computing
by: Senk, Johanna, et al.
Published: (2025)

Mitigating GIL Bottlenecks in Edge AI Systems
by: Mandal, Mridankan, et al.
Published: (2026)

AGOCS -- Accurate Google Cloud Simulator Framework
by: Sliwko, Leszek, et al.
Published: (2025)

Extracting Practical, Actionable Energy Insights from Supercomputer Telemetry and Logs
by: Cornelius, Melanie, et al.
Published: (2025)

Profiling and optimization of multi-card GPU machine learning jobs
by: Lawenda, Marcin, et al.
Published: (2025)

Optimal Parallel Scheduling under Concave Speedup Functions
by: Li, Chengzhang, et al.
Published: (2025)

Efficient GPU-Centered Singular Value Decomposition Using the Divide-and-Conquer Method
by: Liu, Shifang, et al.
Published: (2025)

RAPID-LLM: Resilience-Aware Performance analysis of Infrastructure for Distributed LLM Training and Inference
by: Karfakis, George, et al.
Published: (2025)

Fine-Grained Energy Prediction For Parallellized LLM Inference With PIE-P
by: Dutt, Anurag, et al.
Published: (2025)

Introducing MareNostrum5: A European pre-exascale energy-efficient system designed to serve a broad spectrum of scientific workloads
by: Banchelli, Fabio, et al.
Published: (2025)

An Empirical Characterization of Outages and Incidents in Public Services for Large Language Models
by: Chu, Xiaoyu, et al.
Published: (2025)

Can Tensor Cores Benefit Memory-Bound Kernels? (No!)
by: Zhang, Lingqi, et al.
Published: (2025)

SHIRO: Near-Optimal Communication Strategies for Distributed Sparse Matrix Multiplication
by: Zhuang, Chen, et al.
Published: (2025)

Extrae.jl: Julia bindings for the Extrae HPC Profiler
by: Sanchez-Ramirez, Sergio, et al.
Published: (2025)