Oct 10 – 14, 2016
San Francisco Marriott Marquis
America/Los_Angeles timezone

Caching Servers for ATLAS

Oct 13, 2016, 11:15 AM
15m
GG C3 (San Francisco Mariott Marquis)

GG C3

San Francisco Mariott Marquis

Oral Track 4: Data Handling Track 4: Data Handling

Description

As many Tier 3 and some Tier 2 centers look toward streamlining operations, they are considering autonomously managed storage elements as part of the solution. These storage elements are essentially file caching servers. They can operate as whole file or data block level caches. Several implementations exist. In this paper we explore using XRootD caching servers that can operate in either mode. They can also operate autonomously (i.e. demand driven), be centrally managed (i.e. a Rucio managed cache), or operate in both modes. We explore the pros and cons of various configurations as well as practical requirements for caching to be effective. While we focus on XRootD caches, the analysis should apply to other kinds of caches as well.

Primary Keyword (Mandatory) Distributed data handling
Secondary Keyword (Optional) Storage systems

Primary author

Robert William Gardner Jr (University of Chicago (US))

Presentation materials