ProFlow: RL-Driven and Performance-Aware Proactive Flow Placement in Datacenter Networks

arXiv 2607.26231•b2cef03f68ba9de7d5b0d0b3ee74e2860d14bdf0a658f88ea430464fd9bbaf28
6GAI-securityMoE-incastRTTagentic-networkscongestion-managementdatacenter-networksmulti-tenant-isolationnetwork-securityprotocol-reliabilityshared-congestionside-channeltraffic-analysisworkload-inference

Paper metadata

arXiv ID
2607.26231
Version
Not specified by this published record
Category
Computer Science — Networking and Internet Architecture (cs.NI)

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Evidence and limitations

Source ID
arxiv_cs_ni
Record identifier
b2cef03f68ba9de7d5b0d0b3ee74e2860d14bdf0a658f88ea430464fd9bbaf28
Enrichment time
2026-07-30T07:23:45Z
AI-assisted enrichment
Yes

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