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Software Logs for M...
Software Logs for Machine Learning in a DevOps Environment
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- Bosch, Nathan (författare)
- Telefonaktiebolaget L M Ericsson,Ericsson
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- Bosch, Jan, 1967 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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(creator_code:org_t)
- 2020
- 2020
- Engelska.
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Ingår i: Proceedings - 46th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2020. ; , s. 29-33
- Relaterad länk:
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https://research.cha...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- System logs perform a critical function in software-intensive systems as logs record the state of the system and significant events in the system at important points in time. Unfortunately, log entries are typically created in an ad-hoc, unstructured and uncoordinated fashion, limiting their usefulness for analytics and machine learning. In a DevOps environment, especially, unmanaged evolution in log data structure causes frequent disruption of operations in automated data pipelines, dashboards and analytics. In this paper, we present the main challenges of contemporary approaches to generating, storing and managing the evolution of system logs data for large, complex, software-intensive systems based on an in-depth case study at a world-leading telecommunications company. Second, we present an approach for generating and managing the evolution of log data in a DevOps environment that does not suffer from the aforementioned challenges and is optimized for use in machine learning. Third, we provide validation of the approach based on expert interviews that confirm that the approach addresses the identified challenges and problems.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Annan data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Other Computer and Information Science (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)
Nyckelord
- data generation
- System logs
- DevOps
- data preprocessing
- machine learning
Publikations- och innehållstyp
- kon (ämneskategori)
- ref (ämneskategori)