Imagen de Portada

Self-Organizing Interaction Spaces: A Framework for Engineering Pervasive Applications in Mobile and Distributed Environments

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Malhotra, Shubham
Formato:	Preprint
Publicado:	2025
Materias:	Distributed, Parallel, and Cluster Computing Artificial Intelligence Machine Learning Software Engineering
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Cluster Workload Allocation: A Predictive Approach Leveraging Machine Learning Efficiency
por: Sliwko, Leszek
Publicado: (2025)

LADs: Leveraging LLMs for AI-Driven DevOps
por: Khan, Ahmad Faraz, et al.
Publicado: (2025)

From Legacy Fortran to Portable Kokkos: An Autonomous Agentic AI Workflow
por: Gupta, Sparsh, et al.
Publicado: (2025)

LogAction: Consistent Cross-system Anomaly Detection through Logs via Active Domain Adaptation
por: Duan, Chiming, et al.
Publicado: (2025)

ALPACA -- Adaptive Learning Pipeline for Comprehensive AI
por: Torka, Simon, et al.
Publicado: (2024)

Action Engine: Automatic Workflow Generation in FaaS
por: Esashi, Akiharu, et al.
Publicado: (2024)

Cluster Workload Allocation: Semantic Soft Affinity Using Natural Language Processing
por: Sliwko, Leszek, et al.
Publicado: (2026)

Scalable Explainability-as-a-Service (XaaS) for Edge AI Systems
por: Singh, Samaresh Kumar, et al.
Publicado: (2026)

CuTeGen: An LLM-Based Agentic Framework for Generation and Optimization of High-Performance GPU Kernels using CuTe
por: Saba, Tara, et al.
Publicado: (2026)

AutoRAGTuner: A Declarative Framework for Automatic Optimization of RAG Pipelines
por: Zeng, Xintan, et al.
Publicado: (2026)

A Reinforcement Learning Environment for Automatic Code Optimization in the MLIR Compiler
por: Tirichine, Mohammed, et al.
Publicado: (2024)

From Sensors to Insight: Rapid, Edge-to-Core Application Development for Sensor-Driven Applications
por: Thareja, Komal, et al.
Publicado: (2026)

(POSTER) From Sensors to Insight: Rapid, Edge-to-Core Application Development for Sensor-Driven Applications
por: Thareja, Komal, et al.
Publicado: (2026)

Ten Years of Teaching Empirical Software Engineering in the context of Energy-efficient Software
por: Malavolta, Ivano, et al.
Publicado: (2024)

OptiML: An End-to-End Framework for Program Synthesis and CUDA Kernel Optimization
por: Bhattacharjee, Arijit, et al.
Publicado: (2026)

Astra: A Multi-Agent System for GPU Kernel Performance Optimization
por: Wei, Anjiang, et al.
Publicado: (2025)

DynaSplit: A Hardware-Software Co-Design Framework for Energy-Aware Inference on Edge
por: May, Daniel, et al.
Publicado: (2024)

MPIrigen: MPI Code Generation through Domain-Specific Language Models
por: Schneider, Nadav, et al.
Publicado: (2024)

A Survey on Failure Analysis and Fault Injection in AI Systems
por: Yu, Guangba, et al.
Publicado: (2024)

HPCAgentTester: A Multi-Agent LLM Approach for Enhanced HPC Unit Test Generation
por: Karanjai, Rabimba, et al.
Publicado: (2025)

Local-Splitter: A Measurement Study of Seven Tactics for Reducing Cloud LLM Token Usage on Coding-Agent Workloads
por: Agyemang, Justice Owusu, et al.
Publicado: (2026)

The Time is Here for Just-in-Time Systems: Challenges and Opportunities
por: Liu, Shu, et al.
Publicado: (2026)

DR.FIX: Automatically Fixing Data Races at Industry Scale
por: Behrang, Farnaz, et al.
Publicado: (2025)

AI for Distributed Systems Design: Scalable Cloud Optimization Through Repeated LLMs Sampling And Simulators
por: Tagliabue, Jacopo
Publicado: (2025)

SemanticForge: Repository-Level Code Generation through Semantic Knowledge Graphs and Constraint Satisfaction
por: Zhang, Wuyang, et al.
Publicado: (2025)

Intelligent Load Balancing in Cloud Computer Systems
por: Sliwko, Leszek
Publicado: (2025)

Simplifying Root Cause Analysis in Kubernetes with StateGraph and LLM
por: Xiang, Yong, et al.
Publicado: (2025)

On the Inference (In-)Security of Vertical Federated Learning: Efficient Auditing against Inference Tampering Attack
por: Huang, Chung-ju, et al.
Publicado: (2025)

SysMoBench: Evaluating AI on Formally Modeling Complex Real-World Systems
por: Cheng, Qian, et al.
Publicado: (2025)

VibeCodeHPC: An Agent-Based Iterative Prompting Auto-Tuner for HPC Code Generation Using LLMs
por: Hayashi, Shun-ichiro, et al.
Publicado: (2025)

LLMs as Packagers of HPC Software
por: Melone, Caetano, et al.
Publicado: (2025)

FIRST: Federated Inference Resource Scheduling Toolkit for Scientific AI Model Access
por: Tanikanti, Aditya, et al.
Publicado: (2025)

From Edge to HPC: Investigating Cross-Facility Data Streaming Architectures
por: George, Anjus, et al.
Publicado: (2025)

PRAXIS: Integrating Program Analysis with Observability for Root-Cause Analysis
por: Cui, Shengkun, et al.
Publicado: (2025)

Domain Adaptation-based Edge Computing for Cross-Conditions Fault Diagnosis
por: Wang, Yanzhi, et al.
Publicado: (2024)

Bridging the Gap: Empowering Small Models in Reliable OpenACC-based Parallelization via GEPA-Optimized Prompting
por: Jhaveri, Samyak, et al.
Publicado: (2026)

MMO: Meta Multi-Objectivization for Software Configuration Tuning
por: Chen, Pengzhou, et al.
Publicado: (2021)

Performance-Aligned LLMs for Generating Fast Code
por: Nichols, Daniel, et al.
Publicado: (2024)

Atmosphere: Context and situational-aware collaborative IoT architecture for edge-fog-cloud computing
por: Ortiz, Guadalupe, et al.
Publicado: (2024)

Why Does the LLM Stop Computing: An Empirical Study of User-Reported Failures in Open-Source LLMs
por: Yu, Guangba, et al.
Publicado: (2026)