Presentation
Comparing Cache Utilization Trends for Regional Scientific Caches with Transfer Learning Models
DescriptionTo enhance data sharing and reduce access latency in scientific collaborations, high energy physics (LHC CMS experiment) employs regional in-network storage caches. Accurate predictions of cache utilization trends help design new caching policies and improve capacity planning. This study leverages the SoCal cache access trends to improve prediction on the newer caches in Chicago and Boston through transfer learning. We also investigate the impact of doubling the Chicago cache's storage capacity on its cache hit rate.
Event Type
ACM Student Research Competition: Undergraduate Poster
Posters
TimeWednesday, 20 November 20242pm - 2:15pm EST
LocationB306
TP