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Challenges and Solutions for Tracing Storage Systems

https://doi.org/10.1145/3149376
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/3-540-45718-6_80openalex-snapshot
Performance Optimization for Large Scale Computing: The Scalable VAMPIR Approach
inferredcites →https://doi.org/10.1007/s11390-016-1690-yopenalex-snapshot
Enhanced Userspace and In-Kernel Trace Filtering for Production Systems
inferredcites →https://doi.org/10.1016/j.jpdc.2008.09.001openalex-snapshot
ScalaTrace: Scalable compression and replay of communication traces for high-performance computing
inferredcites →https://doi.org/10.1093/comjnl/bxs044openalex-snapshot
Parallel File System Analysis Through Application I/O Tracing
inferredcites →https://doi.org/10.1109/clustr.2009.5289150openalex-snapshot
24/7 Characterization of petascale I/O workloads
inferredcites →https://doi.org/10.1109/cmpcon.1996.501773openalex-snapshot
The Tiger Shark file system
inferredcites →https://doi.org/10.1109/ipdps.2007.370238openalex-snapshot
Automatic Trace-Based Performance Analysis of Metacomputing Applications
inferredcites →https://doi.org/10.1109/ipdps.2010.5470424openalex-snapshot
Parallel I/O performance: From events to ensembles
inferredcites →https://doi.org/10.1109/ipdps.2017.45openalex-snapshot
ScalaIOExtrap: Elastic I/O Tracing and Extrapolation
inferredcites →https://doi.org/10.1109/msst.2010.5496972openalex-snapshot
The Hadoop Distributed File System
inferredcites →https://doi.org/10.1109/sc.2014.25openalex-snapshot
IndexFS: Scaling File System Metadata Performance with Stateless Caching and Bulk Insertion
inferredcites →https://doi.org/10.1109/sc.companion.2012.14openalex-snapshot
IOPin: Runtime Profiling of Parallel I/O in HPC Systems
inferredcites →https://doi.org/10.1109/sc.companion.2012.372openalex-snapshot
A Case for Scaling HPC Metadata Performance through De-specialization
inferredcites →https://doi.org/10.1109/tpds.2014.2371831openalex-snapshot
Cost-Minimizing Dynamic Migration of Content Distribution Services into Hybrid Clouds
inferredcites →https://doi.org/10.1145/1064978.1065034openalex-snapshot
Pin
inferredcites →https://doi.org/10.1145/1140103.1140280openalex-snapshot
Stardust
inferredcites →https://doi.org/10.1145/1165389.945450openalex-snapshot
The Google file system
inferredcites →https://doi.org/10.1145/1654059.1654077openalex-snapshot
Scalable massively parallel I/O to task-local files
inferredcites →https://doi.org/10.1145/1654059.1654081openalex-snapshot
PLFS
inferredcites →https://doi.org/10.1145/1654059.1654086openalex-snapshot
Adaptive and scalable metadata management to support a trillion files
inferredcites →https://doi.org/10.1145/2382553.2382555openalex-snapshot
Fay
inferredcites →https://doi.org/10.1145/2501620.2501623openalex-snapshot
BTRFS
inferredcites →https://doi.org/10.1145/2749246.2749269openalex-snapshot
A Multiplatform Study of I/O Behavior on Petascale Supercomputers
inferredcites →https://doi.org/10.1145/2815400.2815415openalex-snapshot
Pivot tracing
inferredcites →https://doi.org/10.1145/3126908.3126932openalex-snapshot
A configurable rule based classful token bucket filter network request scheduler for the lustre file system
inferredcites →https://doi.org/10.1145/945445.945450openalex-snapshot
The Google file system
inferredcites →https://doi.org/10.1184/r1/6587150openalex-snapshot
//TRACE: Parallel Trace Replay with Approximate Causal Events
inferredcites →https://doi.org/10.1184/r1/6609242openalex-snapshot
Scale and Concurrency of GIGA+: File System Directories with Millions of Files
inferredcites →https://doi.org/10.5555/1064866.1064877openalex-snapshot
Kernel korner: kprobes-a kernel debugger
inferredcites →https://doi.org/10.5555/1298455.1298485openalex-snapshot
Ceph: a scalable, high-performance distributed file system
inferredcites →https://doi.org/10.5555/1972457.1972463openalex-snapshot
Diagnosing performance changes by comparing request flows
inferredcites →https://doi.org/10.5555/2208461.2208483openalex-snapshot
Extracting flexible, replayable models from large block traces

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-030-02465-9_7openalex-snapshot
IOscope: A Flexible I/O Tracer for Workloads’ I/O Pattern Characterization
inferred← citeshttps://doi.org/10.1007/978-3-030-47956-5_4openalex-snapshot
ADA-FS—Advanced Data Placement via Ad hoc File Systems at Extreme Scales
inferred← citeshttps://doi.org/10.1007/978-3-031-40843-4_13openalex-snapshot
Analyzing Parallel Applications for Unnecessary I/O Semantics that Inhibit File System Performance
inferred← citeshttps://doi.org/10.1007/s11390-020-9797-6openalex-snapshot
GekkoFS — A Temporary Burst Buffer File System for HPC Applications
inferred← citeshttps://doi.org/10.1007/s11390-020-9801-1openalex-snapshot
Ad Hoc File Systems for High-Performance Computing
inferred← citeshttps://doi.org/10.1016/j.parco.2024.103095openalex-snapshot
Mobilizing underutilized storage nodes via job path: A job-aware file striping approach
inferred← citeshttps://doi.org/10.1109/cluster.2018.00049openalex-snapshot
GekkoFS - A Temporary Distributed File System for HPC Applications
inferred← citeshttps://doi.org/10.1109/cluster48925.2021.00062openalex-snapshot
Streamlining distributed Deep Learning I/O with ad hoc file systems
inferred← citeshttps://doi.org/10.1109/cluster49012.2020.00014openalex-snapshot
DelveFS - An Event-Driven Semantic File System for Object Stores
inferred← citeshttps://doi.org/10.1109/ipdps53621.2022.00018openalex-snapshot
Scalable Multi-Versioning Ordered Key-Value Stores with Persistent Memory Support
inferred← citeshttps://doi.org/10.1145/3404190openalex-snapshot
NVMM-Oriented Hierarchical Persistent Client Caching for Lustre
inferred← citeshttps://doi.org/10.1145/3611007openalex-snapshot
I/O Access Patterns in HPC Applications: A 360-Degree Survey
inferred← citeshttps://doi.org/10.70675/47e251bfzd461z47dfzbef5zab75d344fec0openalex-snapshot
Experimental Methods for the Evaluation of Big Data Systems
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