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Conference Paper
Design of Cache backend using Remote Memory for Network File System
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- Authors
- Eun-Ji Lim, Shin-Young Ahn, Young-Ho Kim, Gyu-Il Cha, Wan Choi
- Issue Date
- 2017-07
- Citation
- International Conference on High Performance Computing and Simulation (HPCS) 2017, pp.864-869
- Language
- English
- Type
- Conference Paper
- Project Code
- 17HS1900, Development of HPC System for Accelerating Large-scale Deep Learning, Choi Wan
- Abstract
- In supporting high-performance data processing, performance gap between the computation device and storage prevents the full utilization of the computation resource and causes a system bottleneck. In addition, some big-data applications which require interactive, real-time, and complicated computation need faster data I/O than distributed file systems. So we propose a new cache backend facility called CacheDM for network file system, which utilizes the distributed memory as a cache media in the cluster environment where computing nodes are connected via high speed network. CacheDM can provide low-latency and high-speed cache by supporting direct memory copy based access to the cached data by using RDMA. CacheDM is designed as a cache backend of the FS-Cache, therefore users can use CacheDM and gain its performance advantage without modification of existing application and NFS.
- KSP Keywords
- Big Data, Computation resource, Data processing, Distributed File system, High performance, High speed network, Low latency, Memory copy, Network file system(NFS), Performance data, Real-Time