Recent publications
Article
Hassan, S, Bahsoon, R & Kazman, R 2020, 'Microservice transition and its granularity problem: A systematic mapping study', Software: Practice and Experience, vol. 50, no. 9, pp. 1651-1681. https://doi.org/10.1002/spe.v50.9
Sobhy, D, Minku, L, Bahsoon, R, Chen, T & Kazman, R 2020, 'Run-time evaluation of architectures: a case study of diversification in IoT', Journal of Systems and Software, vol. 159, 110428. https://doi.org/10.1016/j.jss.2019.110428
Chen, T, Bahsoon, R & Yao, X 2020, 'Synergizing domain expertise with self-awareness in software systems: a patternized architecture guideline', Institute of Electrical and Electronics Engineers. Proceedings . https://doi.org/10.1109/JPROC.2020.2985293
Gill, SS, Tuli, S, Toosi, AN, Cuadrado, F, Garraghan, P, Bahsoon, R, Lutfiyya, H, Sakellariou, R, Rana, O, Dustdar, S & Buyya, R 2020, 'ThermoSim: deep learning based framework for modeling and simulation of thermal-aware resource management for cloud computing environments', Journal of Systems and Software, vol. 166, 110596. https://doi.org/10.1016/j.jss.2020.110596
Chen, T, Bahsoon, R & Yao, X 2018, 'A Survey and Taxonomy of Self-Aware and Self-Adaptive Cloud Autoscaling Systems', ACM Computing Surveys, vol. 51, no. 3, 61. https://doi.org/10.1145/3212709
Buyya, R & Srirama, SN 2018, 'A manifesto for future generation cloud computing: research directions for the next decade', ACM Computing Surveys, vol. 51, no. 5, 105. https://doi.org/10.1145/3241737
Chen, T, Li, K, Bahsoon, R & Yao, X 2018, 'FEMOSAA: Feature-guided and knEe-driven Multi-Objective optimization for Self-Adaptive softwAre', ACM Transactions on Software Engineering and Methodology, vol. 27, no. 2, 5. https://doi.org/10.1145/3204459
Evangelidis, A, Parker, D & Bahsoon, R 2018, 'Performance Modelling and Verification of Cloud-based Auto-Scaling Policies', Future Generation Computer Systems. https://doi.org/10.1016/j.future.2017.12.047
Salama, M & Bahsoon, R 2017, 'Analysing and modelling runtime architectural stability for self-adaptive software', Journal of Systems and Software, vol. 133, pp. 95-112. https://doi.org/10.1016/j.jss.2017.07.041
Chen, T & Bahsoon, R 2017, 'Self-adaptive and online QoS modeling for cloud-based software services', IEEE Transactions on Software Engineering, vol. 43, no. 5, pp. 453-475. https://doi.org/10.1109/TSE.2016.2608826
Conference contribution
Alruhaily, N, Mera-Gómez, C, Chothia, T & Bahsoon, R 2017, A market-based approach for detecting malware in the cloud via introspection. in M Maximilien, A Vallecillo, J Wang & M Oriol (eds), Service-Oriented Computing - 15th International Conference, ICSOC 2017, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10601 LNCS, Springer Verlag, pp. 722-730, 15th International Conference on Service-Oriented Computing, ICSOC 2017, Malaga, Spain, 13/11/17. https://doi.org/10.1007/978-3-319-69035-3_52
Hassan, S, Ali, N & Bahsoon, R 2017, Microservice ambients: an architectural meta-modelling approach for microservice granularity. in 2017 IEEE International Conference on Software Architecture (ICSA). IEEE Xplore, pp. 1-10, 2017 IEEE International Conference on Software Architecture, Gothenburg, Sweden, 3/04/17. https://doi.org/10.1109/ICSA.2017.32
Evangelidis, A, Parker, D & Bahsoon, R 2017, Performance Modelling and Verification of Cloud-based Auto-Scaling Policies. in Proceedings of 2017 IEEE/ACM 17th International Symposium on Cluster, Cloud and Grid Computing (CCGrid'17). IEEE Xplore, pp. 355-364, IEEE/ACM 17th International Symposium on Cluster, Cloud and Grid Computing, Madrid, Spain, 14/05/17. https://doi.org/10.1109/CCGRID.2017.39
Evangelidis, A, Parker, D & Bahsoon, R 2017, Performance Modelling and Verification of Cloud-based Auto-Scaling Policies. in Performance Modelling and Verification of Cloud-based Auto-Scaling Policies. IEEE Computer Society Press, pp. 355, IEEE/ACM 17th International Symposium on Cluster, Cloud and Grid Computing, Madrid, Spain, 14/05/17. https://doi.org/10.1109/CCGRID.2017.39
Farahnakian, F, Bahsoon, R, Liljeberg, P & Pahikkala, T 2017, Self-adaptive resource management system in IaaS clouds. in 9th International Conference on Cloud Computing (IEEE CLOUD). IEEE Computer Society Press, pp. 553-560, The 9th IEEE International Conference on Cloud Computing, San Francisco, United States, 27/06/16. https://doi.org/10.1109/CLOUD.2016.0079
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