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    HEPiX Fall 2024 Workshop

    4–8 Nov 2024
    US/Central timezone

    Session

    Storage & Filesystems

    5 Nov 2024, 13:30

    Conveners

    Storage & Filesystems

    • Andrew Pickford (University of Glasgow (GB))
    • Elvin Alin Sindrilaru (CERN)

    Storage & Filesystems

    • Andrew Pickford (University of Glasgow (GB))
    • Elvin Alin Sindrilaru (CERN)

    Presentation materials

    There are no materials yet.

    1. 11. Cost Comparison of On-Premises Storage with S3 Interfaces
      Mr Nathan Thompson (Spectra Logic)
      05/11/2024, 13:30
      Storage & Filesystems

      Abstract: To evaluate the cost of various on-premises storage solutions with traditional and S3 interfaces, including flash, disk, and tape.

      This presentation compares the costs, factors of flash, disk, and tape-based storage systems, including systems that are compatible with AWS S3. Key metrics to be considered include purchase price, power consumption, cooling requirements, product...

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    2. 1. Optimising Data Access Analytics: Integrating dCache BillingDB with PIC’s Scalable Big Data Platform
      Jose Flix Molina (CIEMAT - Centro de Investigaciones Energéticas Medioambientales y Tec. (ES)), Mr Marc Santamaria Riba (PIC)
      05/11/2024, 14:00
      Storage & Filesystems

      PIC has developed CosmoHub, a scientific platform built on top of Hadoop and Apache Hive, which facilitates scalable reading, writing and managing huge astronomical datasets. This platform supports a global community of scientists, eliminating the need for users to be familiar with Structured Query Language (SQL). CosmoHub officially serves data from major international collaborations,...

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    3. 12. Using AI/ML for Data Placement Optimization in a Multi-Tiered Storage System within a Data Center
      Qiulan Huang (Brookhaven National Laboratory (US))
      05/11/2024, 14:30
      Storage & Filesystems

      Scientific experiments and computations, particularly in High Energy Physics (HEP) programs, are generating and accumulating data at an unprecedented rate. Effectively managing this vast volume of data while ensuring efficient data analysis poses a significant challenge for data centers. This paper aims to introduce machine learning algorithms to enhance data storage optimization across...

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    4. 37. Stories from the TSM to HPSS Migration at KIT
      Andreas Petzold (KIT - Karlsruhe Institute of Technology (DE))
      05/11/2024, 15:30

      In 2020 we started the migration from our TSM-based tape system to HPSS which was finally finished in the summer of 2024. I'll present lessons learned, pitfalls and also the necessary in-house software developments.

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