Name
Abstract | ||
|---|---|---|
In the CMS [1] computing model the experiment owns dedicated resources around the world that, for the most part, are located in computing centers with a well defined Tier hierarchy. The geo-distributed storage is then controlled centrally by the CMS Computing Operations. In this architecture data are distributed and replicated across the centers following a preplacement model, mostly human controlled. Analysis jobs are then mostly executed on computing resources close to the data location. This of course allow to avoid CPU wasting due to I/O latency, although it does not allow to optimize the available job slots. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/eScience.2018.00082 | 2018 IEEE 14th International Conference on e-Science (e-Science) |
Keywords | Field | DocType |
on-demand cache,CMS computing operations,national distributed cache system,XRootD technology,CMS analysis workflows,XRootD redirector,HPC resources,CMS computing model,computing centers,LHC,CMS experiment,data location,analysis jobs,preplacement model,architecture data,geo-distributed storage | Large Hadron Collider,Architecture,Computer science,Cache,Latency (engineering),Server,Distributed database,Hierarchy,Operating system,Distributed computing,Cloud computing | Conference |
ISSN | ISBN | Citations |
2325-372X | 978-1-5386-9157-1 | 0 |
PageRank | References | Authors |
0.34 | 0 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Diego Ciangottini | 1 | 0 | 0.34 |
| Daniele Spiga | 2 | 4 | 1.41 |
| Tommaso Boccali | 3 | 5 | 1.98 |
| Giacinto Donvito | 4 | 60 | 6.04 |
| Daniele Cesini | 5 | 30 | 9.51 |
| Giuseppe Bagliesi | 6 | 0 | 0.34 |
| Enrico Mazzoni | 7 | 2 | 1.11 |
| Antonio Falabella | 8 | 4 | 0.93 |