Yingjin Qian

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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 a workload to backend storage that can be optimized more easily. According to the drawback of static(More)
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 can be damaged by a malfunctioning client. In this paper, we present an asymmetric block-based parallel file(More)
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 for the Lustre file system. The TBF enforces Remote Procedure Call (RPC) rate limitations based on(More)
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