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학술대회 Design of Cache backend using Remote Memory for Network File System
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임은지, 안신영, 김영호, 차규일, 최완
International Conference on High Performance Computing and Simulation (HPCS) 2017, pp.864-869
17HS1900, 대규모 딥러닝 고속 처리를 위한 HPC 시스템 개발, 최완
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 제안 키워드
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