Issue |
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|
|
---|---|---|
Article Number | 04023 | |
Number of page(s) | 5 | |
Section | T4 - Data handling | |
DOI | https://doi.org/10.1051/epjconf/201921404023 | |
Published online | 17 September 2019 |
https://doi.org/10.1051/epjconf/201921404023
The Open High Throughput Computing Content Delivery Network
1
Scientific Computing Division, Fermilab,
Batavia, IL,
USA
2
University of Nebraska-Lincoln,
Lincoln, NE,
USA
3
EP-SFT Department, CERN,
Geneva,
Switzerland
4
IT-CM-IS Department, CERN,
Geneva,
Switzerland
* Corresponding author: dwd@fnal.gov
Published online: 17 September 2019
LHC experiments make extensive use of web proxy caches, especially for software distribution via the CernVM File System and for conditions data via the Frontier Distributed Database Caching system. Since many jobs read the same data, cache hit rates are high and hence most of the traffic flows efficiently over Local Area Networks. However, it is not always possible to have local web caches, particularly for opportunistic cases where experiments have little control over site services. The Open High Throughput Computing (HTC) Content Delivery Network (CDN), openhtc.io, aims to address this by using web proxy caches from a commercial CDN provider. Cloudflare provides a simple interface for registering DNS aliases of any web server and does reverse proxy web caching on those aliases. The openhtc.io domain is hosted on Cloudflare's free tier CDN which has no bandwidth limit and makes use of data centers throughout the world, so the average performance for clients is much improved compared to reading from CERN or a Tier 1. The load on WLCG servers is also significantly reduced. WLCG Web Proxy Auto Discovery is used to select local web caches when they are available and otherwise select openhtc.io caching. This paper describes the Open HTC CDN in detail and provides initial results from its use for LHC@Home and USCMS opportunistic computing.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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