4 citations · 7 across the 5 of their papers we have counts for
5 papers
QoSFlow: Ensuring Service Quality of Distributed Workflows Using Interpretable Sensitivity Models
Md Hasanur Rashid, Jesun Firoz, Nathan R. Tallent +3
With the increasing importance of distributed scientific workflows, there is a critical need to ensure Quality of Service (QoS) constraints, such as minimizing time or limiting exe…
CARAT: Client-Side Adaptive RPC and Cache Co-Tuning for Parallel File Systems
Md Hasanur Rashid, Nathan R. Tallent, Forrest Sheng Bao +1
Tuning parallel file system in High-Performance Computing (HPC) systems remains challenging due to the complex I/O paths, diverse I/O patterns, and dynamic system conditions. While…
AdapTBF: Decentralized Bandwidth Control via Adaptive Token Borrowing for HPC Storage
Md Hasanur Rashid, Dong Dai
Modern high-performance computing (HPC) applications run on compute resources but share global storage systems. This design can cause problems when applications consume a dispropor…
DIAL: Decentralized I/O AutoTuning via Learned Client-side Local Metrics for Parallel File System
Md Hasanur Rashid, Xinyi Li, Youbiao He +2
Enabling efficient, high-performance data access in parallel file systems (PFS) is critical for today's high-performance computing systems. PFS client-side I/O heavily impacts the…
IOPathTune: Adaptive Online Parameter Tuning for Parallel File System I/O Path
Md. Hasanur Rashid, Youbiao He, Forrest Sheng Bao +1
Parallel file systems contain complicated I/O paths from clients to storage servers. An efficient I/O path requires proper settings of multiple parameters, as the default settings…