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PAD: Performance Anomaly Detection in Multi-server Distributed 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/10.1002/0470013192.bsa501openalex-snapshot
Principal Component Analysis
inferredcites →https://doi.org/10.1007/978-3-642-12029-9_26openalex-snapshot
A Process to Effectively Identify “Guilty” Performance Antipatterns
inferredcites →https://doi.org/10.1016/0020-0190(92)90028-topenalex-snapshot
An efficient implementation of vector clocks
inferredcites →https://doi.org/10.1016/j.peva.2009.07.004openalex-snapshot
Rule-based automatic software performance diagnosis and improvement
inferredcites →https://doi.org/10.1017/cbo9780511819391.019openalex-snapshot
BASIC STATISTICAL ANALYSIS
inferredcites →https://doi.org/10.1109/csmr.2010.39openalex-snapshot
Automatic Comparison of Load Tests to Support the Performance Analysis of Large Enterprise Systems
inferredcites →https://doi.org/10.1109/dsn.2010.5544315openalex-snapshot
A study of the internal and external effects of concurrency bugs
inferredcites →https://doi.org/10.1109/iceccs.2010.44openalex-snapshot
Performance Antipatterns as Logical Predicates
inferredcites →https://doi.org/10.1109/icse.2013.6606651openalex-snapshot
Automatic detection of performance deviations in the load testing of Large Scale Systems
inferredcites →https://doi.org/10.1109/icsm.2009.5306331openalex-snapshot
Automated performance analysis of load tests
inferredcites →https://doi.org/10.1109/infcom.2009.5062053openalex-snapshot
Network Performance Anomaly Detection and Localization
inferredcites →https://doi.org/10.1109/inm.2001.918085openalex-snapshot
Oceano-SLA based management of a computing utility
inferredcites →https://doi.org/10.1109/mc.2003.1160055openalex-snapshot
The vision of autonomic computing
inferredcites →https://doi.org/10.1109/qsic.2010.35openalex-snapshot
Mining Performance Regression Testing Repositories for Automated Performance Analysis
inferredcites →https://doi.org/10.1109/tc.1987.5009516openalex-snapshot
Clock Synchronization in Distributed Real-Time Systems
inferredcites →https://doi.org/10.1145/1165389.945454openalex-snapshot
Performance debugging for distributed systems of black boxes
inferredcites →https://doi.org/10.1145/1657755.1657756openalex-snapshot
Comprehensive QoS monitoring of Web services and event-based SLA violation detection
inferredcites →https://doi.org/10.1145/1755913.1755926openalex-snapshot
Fingerprinting the datacenter
inferredcites →https://doi.org/10.1145/1807128.1807166openalex-snapshot
Characterizing, modeling, and generating workload spikes for stateful services
inferredcites →https://doi.org/10.1145/1958746.1958755openalex-snapshot
Detection and solution of software performance antipatterns in palladio architectural models
inferredcites →https://doi.org/10.1145/581339.581377openalex-snapshot
Tracking down software bugs using automatic anomaly detection
inferredcites →https://doi.org/10.1145/581376.581377openalex-snapshot
Tracking down software bugs using automatic anomaly detection
inferredcites →https://doi.org/10.2307/2988240openalex-snapshot
Understanding Robust and Exploratory Data Analysis.
inferredcites →https://doi.org/10.5555/2387880.2387910openalex-snapshot
X-ray: automating root-cause diagnosis of performance anomalies in production software
inferredcites →https://doi.org/10.5555/2486788.2486927openalex-snapshot
Automatic detection of performance deviations in the load testing of large scale systems
inferredcites →https://doi.org/10.6017/ital.v29i2.3147openalex-snapshot
On the Clouds: A New Way of Computing
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.5729openalex-snapshot
SaaS software performance issue diagnosis using independent component analysis and restricted Boltzmann machine
inferred← citeshttps://doi.org/10.1002/spe.2607openalex-snapshot
SaaS software performance issue identification using HMRF‐MAP framework
inferred← citeshttps://doi.org/10.1007/978-3-030-14118-9_67openalex-snapshot
Supervised Performance Anomaly Detection in HPC Data Centers
inferred← citeshttps://doi.org/10.1007/978-3-030-65847-2_4openalex-snapshot
Evaluating Tree Explanation Methods for Anomaly Reasoning: A Case Study of SHAP TreeExplainer and TreeInterpreter
inferred← citeshttps://doi.org/10.1007/978-3-032-19488-6_12openalex-snapshot
PowerMap and Time-Indexed PCA Trajectories: Interactive Visual Forensics for HPC Incidents
inferred← citeshttps://doi.org/10.1007/s10586-019-02998-yopenalex-snapshot
Artificial neural networks based techniques for anomaly detection in Apache Spark
inferred← citeshttps://doi.org/10.1007/s10922-017-9402-7openalex-snapshot
Decreasing the Management Burden in Multi-tier Systems Through Partial Correlation-Based Monitoring
inferred← citeshttps://doi.org/10.1016/j.future.2018.05.014openalex-snapshot
Detecting performance anomalies in scientific workflows using hierarchical temporal memory
inferred← citeshttps://doi.org/10.1109/cluster.2017.70openalex-snapshot
Tracking System Behavior from Resource Usage Data
inferred← citeshttps://doi.org/10.1109/compsac.2015.89openalex-snapshot
Runtime Anomaly Detection in Embedded Systems by Binary Tracing and Hidden Markov Models
inferred← citeshttps://doi.org/10.1109/csci.2016.0124openalex-snapshot
Ranking Anomalous High Performance Computing Sensor Data Using Unsupervised Clustering
inferred← citeshttps://doi.org/10.1109/cscwd61410.2024.10580478openalex-snapshot
KEWS: A KPIs-Based Evaluation Framework of Workload Simulation On Microservice System
inferred← citeshttps://doi.org/10.1109/iccac.2017.10openalex-snapshot
A Black-Box Approach for Detecting Systems Anomalies in Virtualized Environments
inferred← citeshttps://doi.org/10.1109/mic.2018.2877077openalex-snapshot
Efficient Failure Diagnosis of OpenStack Using Tempest
inferred← citeshttps://doi.org/10.1109/sbrc.2015.39openalex-snapshot
Using Partial Correlation for Effective Metric Selection and Anomaly Detection in Multi-tier System
inferred← citeshttps://doi.org/10.1109/tnsm.2024.3387552openalex-snapshot
MicroNet: Operation Aware Root Cause Identification of Microservice System Anomalies
inferred← citeshttps://doi.org/10.1109/trustcom60117.2023.00092openalex-snapshot
Unified Identification of Anomalies on the Edge: A Hybrid Sequential PGM Approach
inferred← citeshttps://doi.org/10.1109/tvcg.2019.2934613openalex-snapshot
CloudDet: Interactive Visual Analysis of Anomalous Performances in Cloud Computing Systems
inferred← citeshttps://doi.org/10.1145/2791120openalex-snapshot
Performance Anomaly Detection and Bottleneck Identification
inferred← citeshttps://doi.org/10.1145/2897356.2897362openalex-snapshot
Performance Monitoring in SAP HANA's Continuous Integration Process
inferred← citeshttps://doi.org/10.1145/3148055.3148070openalex-snapshot
Performance Analysis of Large Scale Distributed Systems by Ranking Dominant Features
inferred← citeshttps://doi.org/10.1145/3337956openalex-snapshot
Performance-Aware Management of Cloud Resources
inferred← citeshttps://doi.org/10.1145/3744556openalex-snapshot
Monitoring Data for Anomaly Detection in Cloud-Based Systems: A Systematic Mapping Study
inferred← citeshttps://doi.org/10.25045/ncsofteng.2017.05openalex-snapshot
Bulud infrastrukturunun keyfiyyət göstəricilərində anomaliyaların real zamanda aşkarlanması metodu
inferred← citeshttps://doi.org/10.3390/app13137891openalex-snapshot
Anomaly Detection in Microservice-Based Systems
inferred← citeshttps://doi.org/10.3390/electronics9010064openalex-snapshot
Detecting and Localizing Anomalies in Container Clusters Using Markov Models
inferred← citeshttps://doi.org/10.3390/s20154111openalex-snapshot
Unsupervised KPIs-Based Clustering of Jobs in HPC Data Centers
inferred← citeshttps://doi.org/10.3390/s23041919openalex-snapshot
Multitier Web System Reliability: Identifying Causative Metrics and Analyzing Performance Anomaly Using a Regression Model
inferred← citeshttps://doi.org/10.48550/arxiv.1808.02254openalex-snapshot
Performance-Aware Management of Cloud Resources: A Taxonomy and Future Directions
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