Cover Image

On the Effectiveness of the 'Follow-the-Sun' Strategy in Mitigating the Carbon Footprint of AI in Cloud Instances

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Vergallo, Roberto, Cruz, Luís, Errico, Alessio, Mainetti, Luca
Format:	Preprint
Published:	2025
Subjects:	Software Engineering Artificial Intelligence Computational Engineering, Finance, and Science Distributed, Parallel, and Cluster Computing I.2.0
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An End to End Edge to Cloud Data and Analytics Strategy
by: Butte, Vijay Kumar, et al.
Published: (2025)

Dynamic Pricing for On-Demand DNN Inference in the Edge-AI Market
by: Li, Songyuan, et al.
Published: (2025)

FlowUnits: Extending Dataflow for the Edge-to-Cloud Computing Continuum
by: Chini, Fabio, et al.
Published: (2025)

Pico-Cloud: Cloud Infrastructure for Tiny Edge Devices
by: Guri, Mordechai
Published: (2025)

CloudHeatMap: Heatmap-Based Monitoring for Large-Scale Cloud Systems
by: Sohana, Sarah, et al.
Published: (2024)

An Analysis of HPC and Edge Architectures in the Cloud
by: Santillan, Steven, et al.
Published: (2025)

CLAID: Closing the Loop on AI & Data Collection -- A Cross-Platform Transparent Computing Middleware Framework for Smart Edge-Cloud and Digital Biomarker Applications
by: Langer, Patrick, et al.
Published: (2023)

Proceedings First Workshop on Adaptable Cloud Architectures
by: De Palma, Giuseppe, et al.
Published: (2025)

Visualizing Cloud-native Applications with KubeDiagrams
by: Merle, Philippe, et al.
Published: (2025)

Cost-Performance Analysis of Cloud-Based Retail Point-of-Sale Systems: A Comparative Study of Google Cloud Platform and Microsoft Azure
by: Pagidoju, Ravi Teja
Published: (2026)

Building Castles in the Cloud: Architecting Resilient and Scalable Infrastructure
by: Gundla, Naresh Kumar
Published: (2024)

A Reference Architecture for Governance of Cloud Native Applications
by: Pourmajidi, William, et al.
Published: (2023)

SeBS-Flow: Benchmarking Serverless Cloud Function Workflows
by: Schmid, Larissa, et al.
Published: (2024)

AdaptiFlow: An Extensible Framework for Event-Driven Autonomy in Cloud Microservices
by: Ndadji, Brice Arléon Zemtsop, et al.
Published: (2025)

Umbilical Choir: Automated Live Testing for Edge-To-Cloud FaaS Applications
by: Malekabbasi, Mohammadreza, et al.
Published: (2025)

Hydra: Brokering Cloud and HPC Resources to Support the Execution of Heterogeneous Workloads at Scale
by: Alsaadi, Aymen, et al.
Published: (2024)

A Comprehensive Experimentation Framework for Energy-Efficient Design of Cloud-Native Applications
by: Werner, Sebastian, et al.
Published: (2025)

AMReX: Block-Structured Adaptive Mesh Refinement for Multiphysics Applications
by: Zhang, Weiqun, et al.
Published: (2020)

Task-Based Programming for Adaptive Mesh Refinement in Compressible Flow Simulations
by: Wei, Anjiang, et al.
Published: (2025)

AlertGuardian: Intelligent Alert Life-Cycle Management for Large-scale Cloud Systems
by: Yu, Guangba, et al.
Published: (2026)

Carbon-aware Software Services
by: Forti, Stefano, et al.
Published: (2024)

A Framework for Effective Invocation Methods of Various LLM Services
by: Wang, Can, et al.
Published: (2024)

Predictive Autoscaling for Node.js on Kubernetes: Lower Latency, Right-Sized Capacity
by: Tymoshenko, Ivan, et al.
Published: (2026)

Learning Recovery Strategies for Dynamic Self-healing in Reactive Systems
by: Sanabria, Mateo, et al.
Published: (2024)

Cost-Effective Big Data Orchestration Using Dagster: A Multi-Platform Approach
by: Picatto, Hernan, et al.
Published: (2024)

Comprehensive Review of Performance Optimization Strategies for Serverless Applications on AWS Lambda
by: Bechir, Mohamed Lemine El, et al.
Published: (2024)

Histrio: a Serverless Actor System
by: Buttiglieri, Giorgio Natale, et al.
Published: (2024)

Runtime Instrumentation for Reactive Components (Extended Version)
by: Aceto, Luca, et al.
Published: (2024)

Radon: a Programming Model and Platform for Computing Continuum Systems
by: De Martini, Luca, et al.
Published: (2025)

Should I Run My Cloud Benchmark on Black Friday?
by: Henning, Sören, et al.
Published: (2025)

Easy Acceleration with Distributed Arrays
by: Kepner, Jeremy, et al.
Published: (2025)

Building AI Agents for Autonomous Clouds: Challenges and Design Principles
by: Shetty, Manish, et al.
Published: (2024)

Optimizing Airline Reservation Systems with Edge-Enabled Microservices: A Framework for Real-Time Data Processing and Enhanced User Responsiveness
by: Barua, Biman, et al.
Published: (2024)

Mass Matrix Assembly on Tensor Cores for Implicit Particle-In-Cell Methods
by: Pennati, Luca, et al.
Published: (2026)

When Should I Run My Application Benchmark?: Studying Cloud Performance Variability for the Case of Stream Processing Applications
by: Henning, Sören, et al.
Published: (2025)

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method
by: Lyathakula, Karthik Reddy, et al.
Published: (2024)

AI-NativeBench: An Open-Source White-Box Agentic Benchmark Suite for AI-Native Systems
by: Wang, Zirui, et al.
Published: (2026)

ACE-Bench: A Lightweight Benchmark for Evaluating Azure SDK Usage Correctness
by: Zhu, Wenxing, et al.
Published: (2026)

LLM-HPC++: Evaluating LLM-Generated Modern C++ and MPI+OpenMP Codes for Scalable Mandelbrot Set Computation
by: Diehl, Patrick, et al.
Published: (2025)

A Unifying Framework to Enable Artificial Intelligence in High Performance Computing Workflows
by: Domke, Jens, et al.
Published: (2025)