GridFS: Ensuring High-Speed Data Transfer Using Massively Parallel I/O

  • Dheeraj Bhardwaj
  • Manish Sinha
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3433)

Abstract

I/O has always been performance bottleneck for applications running on clusters. Most traditional storage architectures fail to meet the requirement of concurrent access to the same file that is posed by most high-performance computing applications. While many parallel and cluster file systems meet this requirement, they are still plagued by metadata overheads and associated management complexities that prevail in read/write intensive scenarios. In this paper we introduce GridFS, a next generation I/O solution that can scale to hundreds or thousands of nodes and several hundreds of terabytes of storage with very high I/O and metadata throughput. It is besed on Object based Storage Architecture (OSA) model and goes a step further to eliminate runtime file access overheads as compared to other implementations on the same model. By eliminating most access overheads and optimizing metadata, GridFS outperforms other solutions in read/write intensive scenarios and this makes it better suited for I/O intensive applications like seismic analysis, weather forecasting, genomics and 3D/4D design simulations.

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References

  1. 1.
    Top 500 supercomputers, http://www.top500.org
  2. 2.
    May, J.M.: Parallel I/O for High Performance Computing. Morgan Kaufmann Publishers, San Francisco (2001)Google Scholar
  3. 3.
    Thakur, R., Gropp, W., Lusk, E.: On implementing MPI-IO portably and with high performance. In: Procs. of Workshop on I/O in Parallel and Distributed Systems, pp. 23–32 (1999)Google Scholar
  4. 4.
  5. 5.
    Howard, J.H.: An overview of the andrew file system. In: Proceedings of the USENIX Winter Technical Conference (1988)Google Scholar
  6. 6.
    Kistler, J.J., Satyanarayanan, M.: Disconnected operation in the coda file system. In: Thirteenth ACM Symposium on Operating Systems Principles, Asilomar Conference Center, Pacific Grove, U.S, vol. 25.5, pp. 213–225. ACM Press, New York (1991)CrossRefGoogle Scholar
  7. 7.
  8. 8.
    Soltis, S.R., Ruwart, T.M., ÓKeefe, M.T.: The global file system. In: Proceedings of the Fifth NASA Goddard Conference on Mass Storage Systems, College Park, MD. IEEE Computer Society Press, Los Alamitos (1996)Google Scholar
  9. 9.
    Schmuck, F., Haskin, R.: GPFS: A Shared-Disk File System for Large Computing Clusters. In: Proceedings of the Conference on File and Storage Technologies (FAST 2002), Monterey, CA, USENIX, Berkeley, CA, January 28-30, pp. 231–244 (2002)Google Scholar
  10. 10.
    SCSI Object-Based Storage Device Commands (OSD), T10, Working Draft, http://www.t10.org (Date: 2004/02/19, rev: 2009)

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Dheeraj Bhardwaj
    • 1
  • Manish Sinha
    • 2
  1. 1.Department of Computer Science & Engg.Indian Institute of TechnologyDelhiIndia
  2. 2.IndiaCo iCenterGridLogics Technologies Pvt LtdPuneIndia

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