Image de couverture de livre

Enabling Secure and Ephemeral AI Workloads in Data Mesh Environments

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Patel, Chinkit, Ng, Kee Siong
Format:	Preprint
Publié:	2025
Sujets:	Distributed, Parallel, and Cluster Computing Artificial Intelligence Databases
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

SEE++: Evolving Snowpark Execution Environment for Modern Workloads
par: Jain, Gaurav, et autres
Publié: (2025)

LiveData -- A Worldwide Data Mesh for Stratified Data
par: Bocca, Simone, et autres
Publié: (2024)

Building a Correct-by-Design Lakehouse. Data Contracts, Versioning, and Transactional Pipelines for Humans and Agents
par: Sheng, Weiming, et autres
Publié: (2026)

Snowpark: Performant, Secure, User-Friendly Data Engineering and AI/ML Next To Your Data
par: Baker, Brandon, et autres
Publié: (2025)

Orchestrating Agents and Data for Enterprise: A Blueprint Architecture for Compound AI
par: Kandogan, Eser, et autres
Publié: (2025)

Eco-Friendly AI: Unleashing Data Power for Green Federated Learning
par: Sabella, Mattia, et autres
Publié: (2025)

MergePipe: A Budget-Aware Parameter Management System for Scalable LLM Merging
par: Wang, Yuanyi, et autres
Publié: (2026)

Autonomous FAIR Digital Objects: From Passive Assertions to Active Knowledge
par: Boukhers, Zeyd, et autres
Publié: (2026)

DLRover-RM: Resource Optimization for Deep Recommendation Models Training in the Cloud
par: Wang, Qinlong, et autres
Publié: (2023)

A Planet Scale Spatial-Temporal Knowledge Graph Based On OpenStreetMap And H3 Grid
par: Böckling, Martin, et autres
Publié: (2024)

TierBase: A Workload-Driven Cost-Optimized Key-Value Store
par: Shen, Zhitao, et autres
Publié: (2025)

OASIS: Object-based Analytics Storage for Intelligent SQL Query Offloading in Scientific Tabular Workloads
par: Hwang, Soon, et autres
Publié: (2025)

AI-Based Crypto Tokens: The Illusion of Decentralized AI?
par: Mafrur, Rischan
Publié: (2025)

Modyn: Data-Centric Machine Learning Pipeline Orchestration
par: Böther, Maximilian, et autres
Publié: (2023)

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

GetBatch: Distributed Multi-Object Retrieval for ML Data Loading
par: Aizman, Alex, et autres
Publié: (2026)

Duration-Informed Workload Scheduler
par: Loreti, Daniela, et autres
Publié: (2026)

Probabilistic Top-k Dominating Query Monitoring over Multiple Uncertain IoT Data Streams in Edge Computing Environments
par: Lai, Chuan-Chi, et autres
Publié: (2019)

Workload Schedulers -- Genesis, Algorithms and Differences
par: Sliwko, Leszek, et autres
Publié: (2025)

Fides: Secure and Scalable Asynchronous DAG Consensus via Trusted Components
par: Xie, Shaokang, et autres
Publié: (2025)

Flash-Fusion: Enabling Expressive, Low-Latency Queries on IoT Sensor Streams with LLMs
par: Patherya, Kausar, et autres
Publié: (2025)

Embedding Samples Dispatching for Recommendation Model Training in Edge Environments
par: Li, Guopeng, et autres
Publié: (2025)

Tesserae: Scalable Placement Policies for Deep Learning Workloads
par: Bian, Song, et autres
Publié: (2025)

Topology-aware Preemptive Scheduling for Co-located LLM Workloads
par: Zhang, Ping, et autres
Publié: (2024)

Mesh-Attention: A New Communication-Efficient Distributed Attention with Improved Data Locality
par: Chen, Sirui, et autres
Publié: (2025)

HiveMind: OS-Inspired Scheduling for Concurrent LLM Agent Workloads
par: Agyemang, Justice Owusu, et autres
Publié: (2026)

Health+: Empowering Individuals via Unifying Health Data
par: Maiyya, Sujaya, et autres
Publié: (2026)

Kub: Enabling Elastic HPC Workloads on Containerized Environments
par: Medeiros, Daniel, et autres
Publié: (2024)

Hybrid Heterogeneous Clusters Can Lower the Energy Consumption of LLM Inference Workloads
par: Wilkins, Grant, et autres
Publié: (2024)

Improving Automatic Parallel Training via Balanced Memory Workload Optimization
par: Wang, Yujie, et autres
Publié: (2023)

On-device Online Learning and Semantic Management of TinyML Systems
par: Ren, Haoyu, et autres
Publié: (2024)

The Time is Here for Just-in-Time Systems: Challenges and Opportunities
par: Liu, Shu, et autres
Publié: (2026)

Towards Carbon-Aware Container Orchestration: Predicting Workload Energy Consumption with Federated Learning
par: Saad, Zainab, et autres
Publié: (2025)

Quantifying Energy and Cost Benefits of Hybrid Edge Cloud: Analysis of Traditional and Agentic Workloads
par: Alamouti, Siavash
Publié: (2025)

Resource Allocation and Workload Scheduling for Large-Scale Distributed Deep Learning: A Survey
par: Liang, Feng, et autres
Publié: (2024)

Floating-Point Data Transformation for Lossless Compression
par: Jamalidinan, Samirasadat, et autres
Publié: (2025)

AI-Driven Cloud Resource Optimization for Multi-Cluster Environments
par: Punniyamoorthy, Vinoth, et autres
Publié: (2025)

Taurus Database: How to be Fast, Available, and Frugal in the Cloud
par: Depoutovitch, Alex, et autres
Publié: (2024)

Towards Serverless Processing of Spatiotemporal Big Data Queries
par: Baumann, Diana, et autres
Publié: (2025)

Demystifying Object-based Big Data Storage Systems
par: Mondal, Anindita Sarkar, et autres
Publié: (2024)