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Publications of Thomas J. Glazier   Download bibtex file Order by:   Type | Year
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1
Thomas J. Glazier, David Garlan and Bradley Schmerl. Case Study of an Automated Approach to Managing Collections of Autonomic Systems. In Proceedings of the 2020 IEEE Conference on Autonomic Computing and Self-organizing Systems (ACSOS), Washington, D.C., 19-23 August 2020. Presentation Video.
2
Thomas J. Glazier and David Garlan. An Automated Approach to Management of a Collection of Autonomic Systems. In Proceedings of the 4th eCAS Workshop on Engineering Collective Adaptive Systems, Umea, Sweden, 16 June 2019.
3
Hemank Lamba, Thomas J. Glazier, Javier Cámara, Bradley Schmerl, David Garlan and Jürgen Pfeffer. Model-based cluster analysis for identifying suspicious activity sequences in software. In Proceedings of the 3rd International Workshop on Security and Privacy Analytics (IWSPA 2017), Scottsdale, AZ, 24 March 2017.
4
Hemank Lamba, Thomas J. Glazier, Bradley Schmerl, Javier Cámara, David Garlan and Jürgen Pfeffer. A Model-based Approach to Anomaly Detection in Software Architectures (Poster) In Symposium and Bootcamp on the Science of Security, Pittsburgh, PA, 19-21 April 2016.
5
Thomas J. Glazier, Javier Cámara, Bradley Schmerl and David Garlan. Analyzing Resilience Properties of Different Topologies of Collective Adaptive Systems. In Proceedings of the 3rd FoCAS Workshop on the Fundamentals of Collective Adaptive Systems, Boston, MA, USA, 21 September 2015.
6
Bradley Schmerl, Javier Cámara, Jeffrey Gennari, David Garlan, Paulo Casanova, Gabriel A. Moreno, Thomas J. Glazier and Jeffrey M. Barnes. Architecture-Based Self-Protection: Composing and Reasoning about Denial-of-Service Mitigations. In HotSoS 2014: 2014 Symposium and Bootcamp on the Science of Security, Raleigh, NC, USA, 8-9 April 2014.
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7
Thomas J. Glazier. Meta-Management of Collections of Autonomic Systems. PhD thesis, Nr. (CMU-S3D-23-110), Software and Societal Systems Department, School of Computer Science, December 2023.
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8
Thomas J. Glazier, Bradley Schmerl, Javier Cámara and David Garlan. Utility Theory for Self-Adaptive Systems. Technical report, CMU-ISR-17-119, Carnegie Mellon University Institute for Software Research, December 2017. http://reports-archive.adm.cs.cmu.edu/anon/isr2017/abstracts/17-119.html.
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