2015 IEEE/ACM 2nd International Symposium on Big Data Computing (BDC) (2015)
Dec. 7, 2015 to Dec. 10, 2015
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/BDC.2015.33
Data access is key to science driven by distributed high-throughput computing (DHTC), an essential technology for many major research projects such as High Energy Physics (HEP) experiments. However, achieving efficient data access becomes quite difficult when many independent storage sites are involved because users are burdened with learning the intricacies of accessing each system and keeping careful track of data location. We present an alternate approach: the Any Data, Any Time, Anywhere infrastructure. Combining several existing software products, AAA presents a global, unified view of storage systems - a "data federation," a global filesystem for software delivery, and a workflow management system. We present how one HEP experiment, the Compact Muon Solenoid (CMS), is utilizing the AAA infrastructure and some simple performance metrics.
high energy physics instrumentation computing, information retrieval, parallel processing, solenoids, workflow management software
K. Bloom et al., "Any Data, Any Time, Anywhere: Global Data Access for Science," 2015 IEEE/ACM 2nd International Symposium on Big Data Computing (BDC), Limassol, Cyprus, 2016, pp. 85-91.