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Everything about Logging (computing)
Chronological record of computer data processing operations
In computing, logging is the act of keeping a log of events that occur in a computer system, such as problems, errors or broad information on current operations. These events may occur in the operating system or in other software. A message or log entry is recorded for each such event. These log messages can then be used to monitor and understand the operation of the system, to debug problems, or during an audit. Logging is particularly important in multi-user software, to have a central overview of the operation of the system. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Logging (computing)A 5-minute orientation
- Skim a recent paper: Efficient Fault Tolerance for Stateful Serverless Computing with Asymmetric LoggingInfluential work since 2022
- Pick up a classic book: Audit and trace log managementThe most-reprinted book on the subject
- Read the landmark paper: An efficient optimistic message logging scheme for recoverable mobile computing systemsCited 22 times
- Go sideways: XMPPA closely related topic
- Go sideways: SyslogA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
An efficient optimistic message logging scheme for recoverable mobile computing systems
Logging for Cloud Computing Forensic Systems
Development and verification of Geant4-based parallel computing Monte Carlo simulations for nuclear logging applications
A causal message logging protocol for mobile nodes in mobile computing systems
Improving causality logging in mobile computing networks
Shared logging services for fault-tolerant distributed computing
Logging based Coordinated Checkpointing in Mobile Distributed Computing Systems
Transit Safety System Evaluation and Hotspot Identification Empowered by Edge Computing Transit Event Logging System
🆕 Influential since 2022
Efficient Fault Tolerance for Stateful Serverless Computing with Asymmetric Logging
FAST COMPUTING METHOD AND RESPONSE CHARACTERISTIC ANALYSIS FOR ARRAY DIELECTRIC LOGGING
Machine learning as a service and MLOps technologies applied in a cloud computing system: an innovative infrastructure for data-driven mud logging applications
📚 Books worth reading
Audit and trace log managementPhillip Q. Maier · 2006- 📕L-O-S-TJerry L. Koger · 1984
- 📕Event MiningTao Li · 2015
Linux Server SecurityChris Binnie · 2016
DTraceBrendan Gregg · 2011- 📕VISUAL and SLOPERobert J. McGaughey · 1988
- 📕Design of an object-oriented paradigm for model generationThomas M. Scott · 1991
- 📕Integrating short-term spatially feasible harvest plans with long- term harvest schedules using Monte-Carlo integer programming and linear programmingJohn Douglas Nelson · 1988
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
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