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DTSTAMP:20230124T171522Z
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DTSTART;TZID=America/Chicago:20221117T083000
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UID:submissions.supercomputing.org_SC22_sess226_spostu101@linklings.com
SUMMARY:Data Throughput Performance Trends of Regional Scientific Data Cac
 he
DESCRIPTION:ACM Student Research Competition: Graduate Poster, ACM Student
  Research Competition: Undergraduate Poster, Posters\n\nData Throughput Pe
 rformance Trends of Regional Scientific Data Cache\n\nSim\n\nToday’s scien
 tific projects and simulations often require repeated transfer of large da
 ta volumes  between the storage system and the client. This increases the 
 load on the network, leading to congestion. In order to mitigate these eff
 ects, regional data storage cache systems are used to store data locally. 
 This project examines the XCache storage system to closely analyze data tr
 end patterns in the data volume and data throughput performance, while als
 o creating a model for predicting how caches could potentially impact netw
 ork traffic and data transfer performance overall. The results of the data
  access patterns demonstrated that traffic volume was reduced by an averag
 e factor of 2.35. The hourly and daily prediction models also showed low e
 rror values, reinforcing the learning methods used in this effort.\n\nRegi
 stration Category: Tech Program Reg Pass
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