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Cube data model for multilevel statistics computation of live execution traces

https://doi.org/10.1002/cpe.3272
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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-540-78849-2_3openalex-snapshot
Aggregate Computation over Data Streams
inferredcites →https://doi.org/10.1007/s10619-005-3296-1openalex-snapshot
Stream Cube: An Architecture for Multi-Dimensional Analysis of Data Streams
inferredcites →https://doi.org/10.1016/b978-155860869-6/50036-6openalex-snapshot
Multi-Dimensional Regression Analysis of Time-Series Data Streams
inferredcites →https://doi.org/10.1109/time.2010.14openalex-snapshot
Multi-granular Time-Based Sliding Windows over Data Streams
inferredcites →https://doi.org/10.1109/waina.2009.145openalex-snapshot
Multidimensional Data Stream Summarization Using Extended Tilted-Time Windows
inferredcites →https://doi.org/10.1145/1055558.1055598openalex-snapshot
Approximate counts and quantiles over sliding windows
inferredcites →https://doi.org/10.1145/1552303.1552305openalex-snapshot
Stream data clustering based on grid density and attraction
inferredcites →https://doi.org/10.1145/2433140.2433151openalex-snapshot
A framework to compute statistics of system parameters from very large trace files
inferredcites →https://doi.org/10.1145/543613.543615openalex-snapshot
Models and issues in data stream systems
inferredcites →https://doi.org/10.1145/602259.602266openalex-snapshot
R-trees
inferredcites →https://doi.org/10.1145/776985.776986openalex-snapshot
Issues in data stream management
inferredcites →https://doi.org/10.1145/971697.602266openalex-snapshot
R-trees
inferredcites →https://doi.org/10.1155/2008/749874openalex-snapshot
An Efficient Format for Nearly Constant-Time Access to Arbitrary Time Intervals in Large Trace Files
inferredcites →https://doi.org/10.1155/2012/140368openalex-snapshot
A Stateful Approach to Generate Synthetic Events from Kernel Traces

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.3929openalex-snapshot
Multilayer hybrid strategy for phishing email zero‐day filtering
inferred← citeshttps://doi.org/10.1002/cpe.4068openalex-snapshot
Multi‐scale navigation of large trace data: A survey
inferred← citeshttps://doi.org/10.1002/spe.2889openalex-snapshot
Performance analysis of distributed storage clusters based on kernel and userspace traces
inferred← citeshttps://doi.org/10.1007/s41635-018-0061-2openalex-snapshot
Machine Learning-Based EDoS Attack Detection Technique Using Execution Trace Analysis
inferred← citeshttps://doi.org/10.1109/ccece.2014.6901019openalex-snapshot
Multiscale navigation in large trace data
inferred← citeshttps://doi.org/10.1109/edocw.2016.7584341openalex-snapshot
A Toolkit for Streaming Process Data Analysis
inferred← citeshttps://doi.org/10.1109/hpec.2017.8091061openalex-snapshot
Dynamic trace-based sampling algorithm for memory usage tracking of enterprise applications
inferred← citeshttps://doi.org/10.1109/syscon.2018.8369613openalex-snapshot
High latency cause detection using multilevel dynamic analysis
inferred← citeshttps://doi.org/10.1109/syscon48628.2021.9447094openalex-snapshot
Malware System Calls Detection Using Hybrid System
inferred← citeshttps://doi.org/10.1145/3777884.3797014openalex-snapshot
B-Perf: Black-box Performance Antipattern Detection Using System-level Execution Tracing
inferred← citeshttps://doi.org/10.1155/2015/940628openalex-snapshot
LTTng CLUST: A System-Wide Unified CPU and GPU Tracing Tool for OpenCL Applications
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