{"ID":2921855,"CreatedAt":"2026-06-02T02:42:49.606572591Z","UpdatedAt":"2026-06-03T19:49:55.6428996Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2606.01440","arxiv_id":"2606.01440","title":"Understanding Cross-Cloud Interconnects: Hands-On Measurements and Cost Optimization","abstract":"New services such as Google Cross-Cloud Interconnect (CCI) address the rise in fast and large-scale cross-cloud data transfers. CCI offers dedicated high-throughput links with low per-GB transfer costs, but also involves high fixed leasing fees and multi-day provisioning delays. This combination makes cost optimization difficult because traffic patterns are unpredictable. This paper presents the first comprehensive study of CCI-like services. We begin with an empirical characterization of CCI and its alternatives using direct measurements across AWS-GCP interconnects. We then introduce ToggleCCI, a new dynamic cost-optimization algorithm designed to handle provisioning delays and uncertainty in future demand. ToggleCCI adapts by switching between VPN and CCI based on cost trends observed over a sliding time window. We prove that ToggleCCI achieves asymptotic optimality under sustained high-demand or low-demand regimes. Finally, using real-world traffic traces, we show that ToggleCCI consistently tracks the best static policy for each scenario and delivers substantial cost savings.","short_abstract":"New services such as Google Cross-Cloud Interconnect (CCI) address the rise in fast and large-scale cross-cloud data transfers. CCI offers dedicated high-throughput links with low per-GB transfer costs, but also involves high fixed leasing fees and multi-day provisioning delays. This combination makes cost optimization...","url_abs":"https://arxiv.org/abs/2606.01440","url_pdf":"https://arxiv.org/pdf/2606.01440v1","authors":"[\"Eitan Eliav\",\"Isaac Keslassy\",\"David Breitgand\",\"Dean H. Lorenz\",\"Avi Weit\"]","published":"2026-05-31T20:19:12Z","proceeding":"cs.NI","tasks":"[\"cs.NI\",\"cs.DC\"]","methods":"[]","has_code":false}