Benchmarking XRootD-HTTPS on 400Gbps Links with Variable Latencies
Aashay Arora, Diego Davila, Frank W\"urthwein, John Graham, Dima Mishin, Justas Balcas, Tom Lehman, Xi Yang, Chin Guok, and Harvey Newman

TL;DR
This paper evaluates the performance of XRootD-HTTPS data transfers over 400 Gbps links with variable latencies, aiming to inform infrastructure improvements for high-bandwidth scientific data access.
Contribution
It provides a systematic benchmarking of XRootD-HTTPS performance under realistic high-bandwidth, high-latency network conditions, highlighting necessary hardware and software optimizations.
Findings
XRootD-HTTPS can sustain 400 Gbps transfers with proper configurations
Performance varies significantly with latency and host setup
Optimal CPU and origin configurations improve transfer efficiency
Abstract
In anticipation of the High Luminosity-LHC era, there is a critical need to oversee software readiness for upcoming growth in network traffic for production and user data analysis access. This paper looks into software and hardware required improvements in US-CMS Tier-2 sites to be able to sustain and meet the projected 400 Gbps bandwidth demands while tackling the challenge posed by varying latencies between sites. Specifically, our study focuses on identifying the performance of XRootD HTTP third-party copies across multiple 400 Gbps links and exploring different host and transfer configurations. Our approach involves systematic testing with variations in the number of origins per cluster and CPU allocations for each origin. By replicating real network conditions and creating network "loops" that traverse multiple switches across the wide area network, we are able to replicate…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDistributed and Parallel Computing Systems · Network Traffic and Congestion Control · Particle Detector Development and Performance
