HEDGE: Traffic Engineering with Probabilistic Link Capacities

Arjun Devraj, Cornell University; Bill Owens, NYSERNet; Umesh Krishnaswamy, Microsoft; Ying Zhang, Meta; Rachee Singh, Cornell University

Cloud providers have adopted higher modulation formats to achieve higher data-rate wavelengths in their optical wide-area networks. However, higher modulation formats reduce signal quality margins, making wavelengths more susceptible to wavelength-specific faults (WSFs)—temporary faults that selectively affect certain wavelengths while others remain unaffected, even though they all share the same optical fiber and equipment. WSFs cause the capacity of inter-datacenter links to fluctuate, frequently disrupting traffic engineering systems. We propose HEDGE, a system that mitigates the effects of WSFs by implementing link-local resilience and global network-wide resilience against WSFs. For local resilience, HEDGE provisions inter-datacenter links with a guaranteed minimum capacity and availability target, in spite of WSFs, while using the fewest possible constituent wavelengths. For global resilience, HEDGE optimally balances throughput and availability while allocating flows on a stochastic wide-area network with fluctuating link capacities. HEDGE sustains equivalent throughput with state-of-the-art traffic engineering systems, while dropping 12.2× less network flow in worst-case scenarios and reducing disruptions to tunnel allocations by 622× in spite of a rapidly changing topology.

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King Abdullah University of Science and Technology (KAUST)

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BibTeX
@inproceedings {316018,
author = {Arjun Devraj and Bill Owens and Umesh Krishnaswamy and Ying Zhang and Rachee Singh},
title = {{HEDGE}: Traffic Engineering with Probabilistic Link Capacities},
booktitle = {23rd USENIX Symposium on Networked Systems Design and Implementation (NSDI 26)},
year = {2026},
isbn = {978-1-939133-54-0},
address = {Renton, WA},
pages = {1591--1612},
url = {https://www.usenix.org/conference/nsdi26/presentation/devraj},
publisher = {USENIX Association},
month = may
}

Presentation Video