Zobrazeno 1 - 7
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pro vyhledávání: '"Yingjin Qian"'
Autor:
Yingjin Qian, Wen Cheng, Lingfang Zeng, Marc-André Vef, Oleg Drokin, Andreas Dilger, Shuichi Ihara, Wusheng Zhang, Yang Wang, André Brinkmann
Publikováno v:
SC22: International Conference for High Performance Computing, Networking, Storage and Analysis.
Publikováno v:
ACM Transactions on Storage. 17:1-22
In high-performance computing (HPC), data and metadata are stored on special server nodes and client applications access the servers’ data and metadata through a network, which induces network latencies and resource contention. These server nodes a
Autor:
Tim Süß, Cheng Wen, Lingfang Zeng, Shilong Wang, Shuichi Ihara, André Brinkmann, Fang Wang, Yingjin Qian, Andreas Dilger, Li Chunyan, Dan Feng, Carlos Thomaz, Xi Li
Publikováno v:
SC
Most high-performance computing (HPC) clusters use a global parallel file system to enable high data throughput. The parallel file system is typically centralized and its storage media are physically separated from the compute cluster. Compute nodes
Publikováno v:
ACM Transactions on Storage; Jan2021, Vol. 17 Issue 1, p6-22, 22p
Publikováno v:
SC
HPC file systems today work in a best-effort manner where individual applications can flood the file system with requests, effectively leading to a denial of service for all other tasks. This paper presents a classful Token Bucket Filter (TBF) policy
Publikováno v:
IEEE Transactions on Computers. 63:1723-1735
Existing block-based parallel file systems, which are deployed in the storage area network (SAN), blend metadata with data in underlying disks. Unfortunately, such symmetric architecture is prone to system-level failures, as metadata on shared disks
Publikováno v:
Computer Science - Research and Development. 23:143-148
This paper presents a novel Network Request Scheduler (NRS) for a large-scale, LustreTM storage system. It proposes a quantum-based, Object Based Round Robin (OBRR) NRS algorithm that reorders the execution of I/O requests per data object, presenting