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Telecom operators historically built extensive central offices for telephony, which now provide a unique physical substrate for edge computing. The emergence of model training, immersive media, and real-time analytics is transforming these facilities from voice switching hubs into distributed compute sites, demanding deterministic resource scheduling that simultaneously satisfies compute capacity and network SLAs. To this end, we propose CRANE, a coordinated scheduling framework that enables this evolution. CRANE integrates real-time compute and network awareness, multi-objective decision-making for selecting optimal compute nodes, and SRv6 traffic engineering for network SLA enforcement. Experiments demonstrate that CRANE achieves high SLA compliance, lowers end-to-end latency, and improves overall resource utilization, enabling the transformation of legacy telecom infrastructure into a distributed platform that supports deterministic workloads.

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CRANE: Two-Stage Coordinated Resource Allocation of Network and Compute for Deterministic Workloads

  • 会议论文

  • 发表日期：

    2026年

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  • Yaqi Yan,
  • Wenlong Zhang,
  • Mingui Zhang,
  • Yajun Li,
  • Wenrui Liu,
  • Wenxuan Zhao,
  • Yuming Xing,
  • Tian Pan

摘要

Telecom operators historically built extensive central offices for telephony, which now provide a unique physical substrate for edge computing. The emergence of model training, immersive media, and real-time analytics is transforming these facilities from voice switching hubs into distributed compute sites, demanding deterministic resource scheduling that simultaneously satisfies compute capacity and network SLAs. To this end, we propose CRANE, a coordinated scheduling framework that enables this evolution. CRANE integrates real-time compute and network awareness, multi-objective decision-making for selecting optimal compute nodes, and SRv6 traffic engineering for network SLA enforcement. Experiments demonstrate that CRANE achieves high SLA compliance, lowers end-to-end latency, and improves overall resource utilization, enabling the transformation of legacy telecom infrastructure into a distributed platform that supports deterministic workloads.