• DocumentCode
    233560
  • Title

    HPIS3: Towards a High-Performance Simulator for Hybrid Parallel I/O and Storage Systems

  • Author

    Bo Feng ; Ning Liu ; Shuibing He ; Xian-He Sun

  • Author_Institution
    Dept. of Comput. Sci., Illinois Inst. of Technol., Chicago, IL, USA
  • fYear
    2014
  • fDate
    16-16 Nov. 2014
  • Firstpage
    37
  • Lastpage
    42
  • Abstract
    The performance gap between processor and storage device has continuously increased during the past few decades. The gap is further exacerbated recently because applications are becoming more data-intensive in both industry and academia. Traditional storage devices, such as hard disk drives (HDD), fail to keep up with the paces of this growth. A known solution is to use solid state drives (SSD) as fast storage. Due to high cost of SSD, data and supercomputing centers usually adopt a hybrid storage system, which consists of a combination of HDD and SSD I/O servers. However, hybrid I/O and storage systems have increased the complexity, making SSD often underutilized. The configuration and utilization of HDD/SSD hybrid systems is a lasting phenomenon. In this study, we propose a high performance hybrid parallel I/O and storage simulator, HPIS3. As a co-design tool, HPIS3 is capable of simulating a variety of parallel storage systems, especially under hybrid scenarios. The experimental results show that the lowest error rate is 2%, and the average is 11.98%.
  • Keywords
    digital simulation; flash memories; hard discs; input-output programs; parallel machines; HDD; HDD-SSD hybrid systems; HPIS3; SSD IO servers; fast storage; hard disk drives; high-performance simulator; hybrid parallel IO systems; hybrid storage system; parallel storage systems; performance gap; solid state drives; supercomputing centers; Buffer storage; Computational modeling; Error analysis; Hardware; Performance evaluation; Servers; Tuning; HPC; Parallel I/O; Simulation; SSD;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Data Storage Workshop (PDSW), 2014 9th
  • Conference_Location
    New Orleans, LA
  • Type

    conf

  • DOI
    10.1109/PDSW.2014.12
  • Filename
    7016281