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A New Scalable Approach for Distributed Metadata in HPC

  • Cristina Rodríguez-Quintana
  • Antonio F. DíazEmail author
  • Julio Ortega
  • Raúl H. Palacios
  • Andrés Ortiz
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10048)

Abstract

In the last years not only a growth of data-intensive storage has been observed, but also compute-intensive workloads need a high computing power and high parallelism with good performance and great scalability. Many distributed filesystem have focused in how to distribute data across multiple processing nodes, but one of the main problem to solve is the management of the ever-greater number of metadata requests. In fact, some studies have identified that an optimized metadata management is a key factor to achieve good performance. Applications in high performance computing usually require filesystems able to provide a huge amount of operations per second to achieve the required level of performance. Although the metadata storage is smaller than data storage, metadata operations consume large CPU cycles, so a single metadata server cannot be longer sufficient. In this paper we define a completely distributed method that provides efficient metadata management and seamlessly adapts to general purpose and scientific computing filesystem workloads. The throughput performance is measured by a metadata benchmark and compared with several distributed filesystems. The results show great scalability in creating operations on a single directory accessed by multiple clients.

Keywords

Distributed filesystems HPC Metadata management 

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Cristina Rodríguez-Quintana
    • 1
    • 2
  • Antonio F. Díaz
    • 1
    • 2
    Email author
  • Julio Ortega
    • 1
    • 2
  • Raúl H. Palacios
    • 1
    • 2
  • Andrés Ortiz
    • 1
    • 2
  1. 1.Department of Computer Architecture and TechnologyUniversity of GranadaGranadaSpain
  2. 2.Communications Enginnering DepartmentUniversity of MálagaMálagaSpain

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