Cover Image

eACGM: Non-instrumented Performance Tracing and Anomaly Detection towards Machine Learning Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Ruilin, Xie, Zongxuan, Chen, Pengfei
Format:	Preprint
Published:	2025
Subjects:	Distributed, Parallel, and Cluster Computing Artificial Intelligence Networking and Internet Architecture
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Network Anomaly Detection in Distributed Edge Computing Infrastructure
by: Marfo, William, et al.
Published: (2025)

Design and Operation of Shared Machine Learning Clusters on Campus
by: Xu, Kaiqiang, et al.
Published: (2021)

Toward Co-adapting Machine Learning Job Shape and Cluster Topology
by: Chen, Shawn Shuoshuo, et al.
Published: (2025)

Collective Communication Profiling of Modern-day Machine Learning Workloads
by: Gupta, Jit, et al.
Published: (2025)

Design and Optimization of Hierarchical Gradient Coding for Distributed Learning at Edge Devices
by: Tang, Weiheng, et al.
Published: (2024)

Topological Analysis for Identifying Anomalies in Serverless Platforms
by: Reali, Gianluca, et al.
Published: (2026)

NebulaFL: Effective Asynchronous Federated Learning for JointCloud Computing
by: Gao, Fei, et al.
Published: (2024)

Enabling Intelligent Vehicular Networks Through Distributed Learning in the Non-Terrestrial Networks 6G Vision
by: Naseh, David, et al.
Published: (2023)

CCL-Bench 1.0: A Trace-Based Benchmark for LLM Infrastructure
by: Ding, Eric, et al.
Published: (2026)

Optimizing Split Learning Latency in TinyML-Based IoT Systems
by: Jenhani, Zied, et al.
Published: (2025)

Real-Time In-Network Machine Learning on P4-Programmable FPGA SmartNICs with Fixed-Point Arithmetic and Taylor
by: Sada, Mohammad Firas, et al.
Published: (2025)

Agentic Performance at the Edge: Insights from Benchmarking
by: Wang, Shiqiang, et al.
Published: (2026)

Adaptive Parameter-Efficient Federated Fine-Tuning on Heterogeneous Devices
by: Liu, Jun, et al.
Published: (2024)

Arcturus: A Cloud Overlay Network for Global Accelerator with Enhanced Performance and Stability
by: Liu, Matthew Yang, et al.
Published: (2025)

A Density-Delay Law for Stable Event-Driven State Progression in Open Distributed Systems
by: Chen, Bin, et al.
Published: (2026)

Performance Evaluation of Brokerless Messaging Libraries
by: La Corte, Lorenzo, et al.
Published: (2025)

Enhanced FIWARE-Based Architecture for Cyberphysical Systems With Tiny Machine Learning and Machine Learning Operations: A Case Study on Urban Mobility Systems
by: Conde, Javier, et al.
Published: (2024)

Decentralized Network Topology Design for Task Offloading in Mobile Edge Computing
by: Ma, Ke, et al.
Published: (2024)

A Multi-Layered Distributed Computing Framework for Enhanced Edge Computing
by: Ma, Ke, et al.
Published: (2024)

HALO: Semantic-Aware Distributed LLM Inference in Lossy Edge Network
by: Zheng, Peirong, et al.
Published: (2026)

Plotinus: A Satellite Internet Digital Twin System
by: Gao, Yue, et al.
Published: (2024)

Multi-stage Flow Scheduling for LLM Serving
by: Sun, Yijun, et al.
Published: (2026)

Temporal-Aware GPU Resource Allocation for Distributed LLM Inference via Reinforcement Learning
by: Du, Chengze, et al.
Published: (2025)

COREC: Concurrent Non-Blocking Single-Queue Receive Driver for Low Latency Networking
by: Faltelli, Marco, et al.
Published: (2024)

Towards Practical Overlay Networks for Decentralized Federated Learning
by: Hua, Yifan, et al.
Published: (2024)

Accuracy vs Performance: An abstraction model for deadline constrained offloading at the mobile-edge
by: Cotter, Jamie, et al.
Published: (2025)

Performance Analysis of Internet of Vehicles Mesh Networks Based on Actual Switch Models
by: Hu, Jialin, et al.
Published: (2024)

Jupiter: Fast and Resource-Efficient Collaborative Inference of Generative LLMs on Edge Devices
by: Ye, Shengyuan, et al.
Published: (2025)

A VM-HDL Co-Simulation Framework for Systems with PCIe-Connected FPGAs
by: Cho, Shenghsun, et al.
Published: (2025)

1.5 Million Messages Per Second on 3 Machines: Benchmarking and Latency Optimization of Apache Pulsar at Enterprise Scale
by: Mukkolakkal, Muhamed Ramees Cheriya
Published: (2026)

BlockSDN: Towards a High-Performance Blockchain via Software-Defined Cross Networking optimization
by: Jia, Wenyang, et al.
Published: (2025)

Towards Edge General Intelligence via Large Language Models: Opportunities and Challenges
by: Chen, Handi, et al.
Published: (2024)

Context-Aware Orchestration of Energy-Efficient Gossip Learning Schemes
by: Dinani, Mina Aghaei, et al.
Published: (2024)

Rina: Enhancing Ring-AllReduce with In-network Aggregation in Distributed Model Training
by: Chen, Zixuan, et al.
Published: (2024)

The Implications of Decentralization in Blockchained Federated Learning: Evaluating the Impact of Model Staleness and Inconsistencies
by: Wilhelmi, Francesc, et al.
Published: (2023)

Performance and Stability of Barrier Mode Parallel Systems with Heterogeneous and Redundant Jobs
by: Walker, Brenton, et al.
Published: (2025)

Enabling Reconfiguration-Communication Overlap for Collective Communication in Optical Networks
by: Wu, Changbo, et al.
Published: (2025)

Teola: Towards End-to-End Optimization of LLM-based Applications
by: Tan, Xin, et al.
Published: (2024)

SplitSim: Large-Scale Simulations for Evaluating Network Systems Research
by: Li, Hejing, et al.
Published: (2024)

YUHENG-OS: A Cloud-Native Space Cluster Operating System
by: Zhang, Jin, et al.
Published: (2026)