On the public citation graph
Understanding Application and System Performance Through System-Wide Monitoring
0 signed · 32 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/cpe.2871openalex-snapshot
Performance metrics and auditing framework using application kernels for high‐performance computer systems
inferredcites →https://doi.org/10.1002/cpe.3245openalex-snapshot
Comprehensive, open‐source resource usage measurement and analysis for HPC systems
inferredcites →https://doi.org/10.1109/cluster.2014.6968670openalex-snapshot
Demonstrating improved application performance using dynamic monitoring and task mapping
inferredcites →https://doi.org/10.1109/compsac.2012.69openalex-snapshot
P-Tracer: Path-Based Performance Profiling in Cloud Computing Systems
inferredcites →https://doi.org/10.1109/hust.2014.6openalex-snapshot
User Environment Tracking and Problem Detection with XALT
inferredcites →https://doi.org/10.1109/hust.2014.7openalex-snapshot
Comprehensive Resource Use Monitoring for HPC Systems with TACC Stats
inferredcites →https://doi.org/10.1109/mm.2010.68openalex-snapshot
Google-Wide Profiling: A Continuous Profiling Infrastructure for Data Centers
inferredcites →https://doi.org/10.1109/sc.2014.18openalex-snapshot
The Lightweight Distributed Metric Service: A Scalable Infrastructure for Continuous Monitoring of Large Scale Computing Systems and Applications
inferredcites →https://doi.org/10.1109/srds.2013.20openalex-snapshot
Linking Resource Usage Anomalies with System Failures from Cluster Log Data
inferredcites →https://doi.org/10.1145/2063348.2063355openalex-snapshot
System-level monitoring of floating-point performance to improve effective system utilization
inferredcites →https://doi.org/10.1145/2484762.2484763openalex-snapshot
Using XDMoD to facilitate XSEDE operations, planning and analysis
inferredcites →https://doi.org/10.1145/2503210.2503230openalex-snapshot
Enabling comprehensive data-driven system management for large computational facilities
inferredcites →https://doi.org/10.1145/2616498.2616533openalex-snapshot
An Analysis of Node Sharing on HPC Clusters using XDMoD/TACC_Stats
inferredcites →https://doi.org/10.1145/268998.266640openalex-snapshot
System support for automatic profiling and optimization
inferredcites →https://doi.org/10.1145/2828612.2828621openalex-snapshot
Infrastructure for In Situ System Monitoring and Application Data Analysis
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.7257openalex-snapshot
A holistic evaluation methodology for configuring production data centers
inferred← citeshttps://doi.org/10.1007/978-3-030-10549-5_11openalex-snapshot
A Methodology for Handling Data Movements by Anticipation: Position Paper
inferred← citeshttps://doi.org/10.1007/978-3-030-48340-1_47openalex-snapshot
MPCDF HPC Performance Monitoring System: Enabling Insight via Job-Specific Analysis
inferred← citeshttps://doi.org/10.1007/978-3-031-55639-5_8openalex-snapshot
Debugging Big Data Systems for Big Data Analytics
inferred← citeshttps://doi.org/10.1007/s11227-023-05366-1openalex-snapshot
An empirical study of major page faults for failure diagnosis in cluster systems
inferred← citeshttps://doi.org/10.1007/s42514-025-00233-2openalex-snapshot
Deep learning-based prediction of major page faults in cluster systems
inferred← citeshttps://doi.org/10.1016/j.jpdc.2019.05.013openalex-snapshot
Towards comprehensive dependability-driven resource use and message log-analysis for HPC systems diagnosis
inferred← citeshttps://doi.org/10.1109/access.2022.3231454openalex-snapshot
A Survey of Log-Correlation Tools for Failure Diagnosis and Prediction in Cluster Systems
inferred← citeshttps://doi.org/10.1109/hipc.2017.00044openalex-snapshot
Enabling Dependability-Driven Resource Use and Message Log-Analysis for Cluster System Diagnosis
inferred← citeshttps://doi.org/10.1109/ispa-bdcloud-socialcom-sustaincom52081.2021.00151openalex-snapshot
Failure Diagnosis for Cluster Systems using Partial Correlations
inferred← citeshttps://doi.org/10.1109/mcse.2021.3066968openalex-snapshot
Preparing Frontera for Texascale Days
inferred← citeshttps://doi.org/10.1109/scw63240.2024.00081openalex-snapshot
Benchmarking and Continuous Performance Monitoring of Ookami, an ARM Fujitsu A64FX Testbed Cluster
inferred← citeshttps://doi.org/10.1109/tc.2021.3070639openalex-snapshot
AutoDiagn: An Automated Real-Time Diagnosis Framework for Big Data Systems
inferred← citeshttps://doi.org/10.1145/3225058.3225086openalex-snapshot
Integrating Low-latency Analysis into HPC System Monitoring
inferred← citeshttps://doi.org/10.14529/jsfi190105openalex-snapshot
Facilitating HPC Operation and Administration via Cloud
inferred← citeshttps://doi.org/10.21203/rs.3.rs-722452/v1openalex-snapshot
Advanced Tracing Methods for Container Messaging Systems Analysis
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.