AI RESEARCH
GO-GenZip: Goal-Oriented Generative Sampling and Hybrid Compression
arXiv CS.LG
•
ArXi:2603.20109v1 Announce Type: new Current network data telemetry pipelines consist of massive streams of fine-grained Key Performance Indicators (KPIs) from multiple distributed sources towards central aggregators, making data storage, transmission, and real-time analysis increasingly unsustainable. This work presents a generative AI (GenAI)-driven sampling and hybrid compression framework that redesigns network telemetry from a goal-oriented perspective.