article · 2014
S4D-Cache: Smart Selective SSD Cache for Parallel I/O Systems
Shuibing He, Xian‐He Sun, Bo Feng
Cited by 37Abstract and details only
Abstract
Parallel file systems (PFS) are widely-used in modern computing systems to mask the ever-increasing performance gap between computing and data access. PFSs favor large requests, and do not work well for small requests, especially small random requests. Newer Solid State Drives (SSD) have excellent performance on small random data accesses, but also incur a high monetary cost. In this study, we propose a hybrid architecture named the Smart Selective SSD Cache (S4D-Cache), which employs a small set of SSD-based file servers as a selective cache of conventional HDD-based file servers. A novel scheme is introduced to identify performance-critical data, and conduct selective cache admission to fully utilize the hybrid architecture in terms of data-access parallelism and randomness. We have implemented an S4D-Cache under the MPI-IO and PVFS2 parallel file system. Our experiments show that S4D-Cache can significantly improve I/O throughput, and is a promising approach for parallel applications.
Cite this paper
He, S., Sun, X., & Feng, B. (2014). S4D-Cache: Smart Selective SSD Cache for Parallel I/O Systems. https://doi.org/10.1109/icdcs.2014.59
He, Shuibing, et al. “S4D-Cache: Smart Selective SSD Cache for Parallel I/O Systems.” 2014, pp. 514–23, https://doi.org/10.1109/icdcs.2014.59.
He, Shuibing, Xian‐He Sun, and Bo Feng. 2014. “S4D-Cache: Smart Selective SSD Cache for Parallel I/O Systems.” https://doi.org/10.1109/icdcs.2014.59.
He, S., Sun, X. and Feng, B. (2014) ‘S4D-Cache: Smart Selective SSD Cache for Parallel I/O Systems’. Available at: https://doi.org/10.1109/icdcs.2014.59.
@article{he2014cache,
title = {{S4D-Cache: Smart Selective SSD Cache for Parallel I/O Systems}},
author = {He, Shuibing and Sun, Xian‐He and Feng, Bo},
pages = {514--523},
year = {2014},
doi = {10.1109/icdcs.2014.59}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.