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Skyplane: Optimizing Transfer Cost and Throughput Using Cloud-Aware Overlays

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arxiv 2210.07259 v1 pith:IXF3FOGP submitted 2022-10-13 cs.NI cs.DC

classification cs.NIcs.DC
keywords clouddatatransferoverlaysskyplanebulknetworkacross
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

Cloud applications are increasingly distributing data across multiple regions and cloud providers. Unfortunately, wide-area bulk data transfers are often slow, bottlenecking applications. We demonstrate that it is possible to significantly improve inter-region cloud bulk transfer throughput by adapting network overlays to the cloud setting -- that is, by routing data through indirect paths at the application layer. However, directly applying network overlays in this setting can result in unacceptable increases in cloud egress prices. We present Skyplane, a system for bulk data transfer between cloud object stores that uses cloud-aware network overlays to optimally navigate the trade-off between price and performance. Skyplane's planner uses mixed-integer linear programming to determine the optimal overlay path and resource allocation for data transfer, subject to user-provided constraints on price or performance. Skyplane outperforms public cloud transfer services by up to $4.6\times$ for transfers within one cloud and by up to $5.0\times$ across clouds.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. An Internet for the KV Cache: Rethinking Classical Infrastructure Boundaries in the LLM Inference Age

    cs.NI 2026-08 conditional novelty 6.0 of 10

    Proposes an 'Internet for the KV Cache' where compute, storage, and network are jointly managed across cloud boundaries to decide when to store, transfer, or recompute cached LLM state.

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