Essays about: "log parsing"
Showing result 1 - 5 of 9 essays containing the words log parsing.
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1. Towards Automated Log Message Embeddings for Anomaly Detection
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : Log messages are implemented by developers to record important runtime information about a system. For that reason, system logs can provide insight into the state and health of a system and potentially be used to anticipate and discover errors. READ MORE
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2. ML enhanced interpretation of failed test result
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This master thesis addresses the problem of classifying test failures in Ericsson AB’s BAIT test framework, specifically distinguishing between environment faults and product faults. The project aims to automate the initial defect classification process, reducing manual work and facilitating faster debugging. READ MORE
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3. IMPERATIVE MODELS TO DECLARATIVE CONSTRAINTS : Generating Control-Flow Constraints from Business Process Models
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : In complex information systems, it is often crucial to evaluate whether a sequence of activities obtained from a system log complies with behavioural rules. This process of evaluation is called conformance checking, and the most classical approach to specifying the behavioural rules is in the form of flow chartlike process diagrams, e.g. READ MORE
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4. Finding the limitations of a real-time updated simulation driven web map
University essay from Linköpings universitet/Programvara och systemAbstract : In this study, built in performance counters are used to identify limits of a prototype real time map web application running in the Google Chrome browser on a desktop PC. The context in which the application is intended for use is one of distributed simulation. READ MORE
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5. Advanced Algorithms for Classification and Anomaly Detection on Log File Data : Comparative study of different Machine Learning Approaches
University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologiAbstract : Background: A problematic area in today’s large scale distributed systems is the exponential amount of growing log data. Finding anomalies by observing and monitoring this data with manual human inspection methods becomes progressively more challenging, complex and time consuming. This is vital for making these systems available around-the-clock. READ MORE