ADASCALE: An Adaptive Scaling and Placement Framework for Microservices Under Dynamics
2026-07-20T07:23:55Z•ac75345171f3d5441078550a831e4cf2044c22b87ff12656b576e71dafadf7e6
5G6GDoSKubernetesLLM-agentsMCPML-reliabilityRIPE-Atlasaccess-controlagentic-AIautoscalingavailabilitycloud-edgeconcept-driftepisodic-memorygeolocation-spoofingmicroservicesnetwork-measurement-integritynetwork-slicingoptical-provisioningrobot-safetyservice-meshsession-affinitytool-gatewayvRAN
What happened
This collection of recent networking and AI-for-networks papers spans cloud--edge microservice autoscaling and placement (ADASCALE), vRAN function placement with optical provisioning, dense-stadium cellular vs Wi‑Fi availability measurements, agentic LLM control for 5G/6G, a cloud-scale MCP tool gateway, robotics safety runtime (MemoGuard), ML concept-drift detectors for wireless, RIPE Atlas geolocation-correction work, and several theoretical and systems results. Security-relevant takeaways: (1) agentic LLMs and autonomous control planes introduce new control-plane attack surfaces (misconfig,
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_ni
- Record identifier
- ac75345171f3d5441078550a831e4cf2044c22b87ff12656b576e71dafadf7e6
- Enrichment time
- 2026-07-20T07:23:55Z
- AI-assisted enrichment
- Yes
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