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Enhancing Infrastructure Maintenance and Evolution through Graph-Based Visualization and Analysis

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Bibliographic Details
Title: Enhancing Infrastructure Maintenance and Evolution through Graph-Based Visualization and Analysis
Authors: Fossati, Stefano
Source: Fossati, S 2025, Enhancing Infrastructure Maintenance and Evolution through Graph-Based Visualization and Analysis. in 2025 IEEE International Conference on Software Maintenance and Evolution, ICSME 2025., 11186100, Institute of Electrical and Electronics Engineers, pp. 887-889, 41st International Conference on Software Maintenance and Evolution, ICSME 2025, Auckland, New Zealand, 7/09/25. https://doi.org/10.1109/ICSME64153.2025.00100
Publisher Information: Institute of Electrical and Electronics Engineers
Publication Year: 2025
Subject Terms: Software infrastructure, Infrastructure-as-code, Software visualization, Resilience, Observability
Description: Companies are increasingly embracing cloud computing, and consequently, the need for effective methods and tools to manage their compute infrastructure also increases. However, managing complex and heterogeneous infrastructures remains a significant challenge, particularly in terms of observability, configuration consistency, and resilience. This PhD project aims to explore the integration of graph-based infrastructure visualization techniques to enhance infrastructure observability and management. The objective of the graph-based abstraction is to bridge the gap between architectural intent and operational reality, providing valuable support for monitoring, auditing, and failure analysis. We aim to address key infrastructure management issues such as configuration drift detection and remediation, and topology analysis.
Document Type: article in journal/newspaper
Language: English
Relation: info:eu-repo/semantics/altIdentifier/isbn/979-8-3315-9587-6
DOI: 10.1109/ICSME64153.2025.00100
Availability: https://research.tue.nl/en/publications/99966048-fb8d-4c35-91d0-e7f9cfb2ac40
https://doi.org/10.1109/ICSME64153.2025.00100
https://www.scopus.com/pages/publications/105022493300
Rights: info:eu-repo/semantics/embargoedAccess
Accession Number: edsbas.2CFAA457
Database: BASE
Description
Abstract:Companies are increasingly embracing cloud computing, and consequently, the need for effective methods and tools to manage their compute infrastructure also increases. However, managing complex and heterogeneous infrastructures remains a significant challenge, particularly in terms of observability, configuration consistency, and resilience. This PhD project aims to explore the integration of graph-based infrastructure visualization techniques to enhance infrastructure observability and management. The objective of the graph-based abstraction is to bridge the gap between architectural intent and operational reality, providing valuable support for monitoring, auditing, and failure analysis. We aim to address key infrastructure management issues such as configuration drift detection and remediation, and topology analysis.
DOI:10.1109/ICSME64153.2025.00100