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A Server-Level Adaptive Data Layout Strategy for Parallel File Systems
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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/bfb0022205openalex-snapshot
Workload characterization of input/output intensive parallel applications
inferredcites →https://doi.org/10.1109/88.384584openalex-snapshot
File-system workload on a scientific multiprocessor
inferredcites →https://doi.org/10.1109/ccgrid.2011.26openalex-snapshot
A Segment-Level Adaptive Data Layout Scheme for Improved Load Balance in Parallel File Systems
inferredcites →https://doi.org/10.1109/icdcs.2008.29openalex-snapshot
MC2: Multiple Clients on a Multilevel Cache
inferredcites →https://doi.org/10.1109/icpp.2007.59openalex-snapshot
Multi-Layer Event Trace Analysis for Parallel I/O Performance Tuning
inferredcites →https://doi.org/10.1109/sc.2004.57openalex-snapshot
The Panasas ActiveScale Storage Cluster - Delivering Scalable High Bandwidth Storage
inferredcites →https://doi.org/10.1109/sc.2008.5213604openalex-snapshot
Parallel I/O prefetching using MPI file caching and I/O signatures
inferredcites →https://doi.org/10.1109/tpds.2002.1028437openalex-snapshot
Learning to classify parallel input/output access patterns
inferredcites →https://doi.org/10.1109/tpds.2004.1271185openalex-snapshot
Automatic arima time series modeling for adaptive I/O prefetching
inferredcites →https://doi.org/10.1145/1374596.1374610openalex-snapshot
Towards an I/O tracing framework taxonomy
inferredcites →https://doi.org/10.1145/1454115.1454133openalex-snapshot
Profiler and compiler assisted adaptive I/O prefetching for shared storage caches
inferredcites →https://doi.org/10.1145/1713072.1713077openalex-snapshot
Data layout optimization for petascale file systems
inferredcites →https://doi.org/10.1145/1713072.1713080openalex-snapshot
Scalable I/O tracing and analysis
inferredcites →https://doi.org/10.1145/183018.183045openalex-snapshot
Scheduling algorithms for modern disk drives
inferredcites →https://doi.org/10.1145/183019.183045openalex-snapshot
Scheduling algorithms for modern disk drives
inferredcites →https://doi.org/10.1145/1851476.1851499openalex-snapshot
Cashing in on hints for better prefetching and caching in PVFS and MPI-IO
inferredcites →https://doi.org/10.1145/1996130.1996138openalex-snapshot
A cost-intelligent application-specific data layout scheme for parallel file systems
inferredcites →https://doi.org/10.1145/503272.503287openalex-snapshot
An efficient profile-analysis framework for data-layout optimizations
inferredcites →https://doi.org/10.1145/565816.503287openalex-snapshot
An efficient profile-analysis framework for data-layout optimizations
inferredcites →https://doi.org/10.1145/581751.581753openalex-snapshot
Fast incremental maintenance of approximate histograms
inferredcites →https://doi.org/10.1145/782814.782850openalex-snapshot
Profile-guided I/O partitioning
inferredcites →https://doi.org/10.5555/1298455.1298485openalex-snapshot
Ceph: a scalable, high-performance distributed file system
inferredcites →https://doi.org/10.5555/1413370.1413415openalex-snapshot
Parallel I/O prefetching using MPI file caching and I/O signatures
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/cpe.4039openalex-snapshot
A variable‐sized stripe level data layout strategy for HDD/SSD hybrid parallel file systems
inferred← citeshttps://doi.org/10.1007/978-3-319-11197-1_43openalex-snapshot
Performance-Aware Data Placement in Hybrid Parallel File Systems
inferred← citeshttps://doi.org/10.1007/s11859-016-1167-4openalex-snapshot
Capability-aware data placement for heterogeneous active storage systems
inferred← citeshttps://doi.org/10.1109/access.2018.2851571openalex-snapshot
Block Placement in Distributed File Systems Based on Block Access Frequency
inferred← citeshttps://doi.org/10.1109/ccgrid.2013.58openalex-snapshot
PARLO: PArallel Run-Time Layout Optimization for Scientific Data Explorations with Heterogeneous Access Patterns
inferred← citeshttps://doi.org/10.1109/discs.2014.10openalex-snapshot
PSA: A Performance and Space-Aware Data Layout Scheme for Hybrid Parallel File Systems
inferred← citeshttps://doi.org/10.1109/icnc.2015.7378143openalex-snapshot
A strip level data layout strategy for heterogeneous parallel storage systems
inferred← citeshttps://doi.org/10.1109/icpp.2015.43openalex-snapshot
A Heterogeneity-Aware Region-Level Data Layout for Hybrid Parallel File Systems
inferred← citeshttps://doi.org/10.1109/ipdps.2015.23openalex-snapshot
HAS: Heterogeneity-Aware Selective Data Layout Scheme for Parallel File Systems on Hybrid Servers
inferred← citeshttps://doi.org/10.1109/ipdps.2018.00122openalex-snapshot
A Migratory Heterogeneity-Aware Data Layout Scheme for Parallel File Systems
inferred← citeshttps://doi.org/10.1109/msst.2013.6558439openalex-snapshot
DRepl: Optimizing access to application data for analysis and visualization
inferred← citeshttps://doi.org/10.1109/tc.2016.2637905openalex-snapshot
HARL: Optimizing Parallel File Systems with Heterogeneity-Aware Region-Level Data Layout
inferred← citeshttps://doi.org/10.1109/tpds.2014.2322362openalex-snapshot
A Parallel File System with Application-Aware Data Layout Policies for Massive Remote Sensing Image Processing in Digital Earth
inferred← citeshttps://doi.org/10.1109/tpds.2015.2504969openalex-snapshot
Boosting Parallel File System Performance via Heterogeneity-Aware Selective Data Layout
inferred← citeshttps://doi.org/10.1109/tpds.2016.2636837openalex-snapshot
Cost-Aware Region-Level Data Placement in Multi-Tiered Parallel I/O Systems
inferred← citeshttps://doi.org/10.1109/tpds.2019.2948901openalex-snapshot
A Holistic Heterogeneity-Aware Data Placement Scheme for Hybrid Parallel I/O Systems
inferred← citeshttps://doi.org/10.1177/1094342016631610openalex-snapshot
Enhancing hybrid parallel file system through performance and space-aware data layout
inferred← citeshttps://doi.org/10.14257/ijgdc.2016.9.5.10openalex-snapshot
Skewed Data Distribution for Active Storage Systems on Hybrid Servers
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