Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Ghahremani, Sona"'
Autor:
Ghahremani, Sona, Giese, Holger
The trade-off between the quality and timeliness of adaptation is a multi-faceted challenge in engineering self-adaptive systems. Obtaining adaptation plans that fulfill system objectives with high utility and in a timely manner is the holy grail, ho
Externí odkaz:
http://arxiv.org/abs/2108.11170
Runtime models provide a snapshot of a system at runtime at a desired level of abstraction. Via a causal connection to the modeled system and by employing model-driven engineering techniques, runtime models support schemes for (runtime) adaptation wh
Externí odkaz:
http://arxiv.org/abs/2008.04230
Autor:
D'Angelo, Mirko, Ghahremani, Sona, Gerasimou, Simos, Grohmann, Johannes, Nunes, Ingrid, Tomforde, Sven, Pournaras, Evangelos
Engineering collective adaptive systems (CAS) with learning capabilities is a challenging task due to their multi-dimensional and complex design space. Data-driven approaches for CAS design could introduce new insights enabling system engineers to ma
Externí odkaz:
http://arxiv.org/abs/2008.03995
Publikováno v:
ACM Transactions on Autonomous and Adaptive Systems, Vol. 14, No. 3, Article 12. Publication date: February 2020
Self-adaptation can be realized in various ways. Rule-based approaches prescribe the adaptation to be executed if the system or environment satisfies certain conditions. They result in scalable solutions but often with merely satisfying adaptation de
Externí odkaz:
http://arxiv.org/abs/2005.11180
Advanced systems such as IoT comprise many heterogeneous, interconnected, and autonomous entities operating in often highly dynamic environments. Due to their large scale and complexity, large volumes of monitoring data are generated and need to be s
Externí odkaz:
http://arxiv.org/abs/2004.03727
Publikováno v:
In: International Conference on Self-Adaptive and Self-Organizing Systems. SASO '16. IEEE, 2016, pp. 142-143
To benefit from utility-driven and rule-based approaches to self-adaptation, we propose combining both by defining and linking the utility function and the adaptation rules in a pattern-based way at the architectural level.
Externí odkaz:
http://arxiv.org/abs/1805.03599
Publikováno v:
International Conference on Autonomic Computing. ICAC '17. IEEE, 2017, pp. 59-68
Self-adaptation can be realized in various ways. Rule-based approaches prescribe the adaptation to be executed if the system or environment satisfy certain conditions and result in scalable solutions, however, with often only satisfying adaptation de
Externí odkaz:
http://arxiv.org/abs/1805.03549
Autor:
Sakizloglou, Lucas1,2 (AUTHOR) lucas.sakizloglou@hpi.de, Ghahremani, Sona1 (AUTHOR), Barkowsky, Matthias1 (AUTHOR), Giese, Holger1 (AUTHOR)
Publikováno v:
Software & Systems Modeling. Oct2022, Vol. 21 Issue 5, p1789-1829. 41p.
Autor:
Talluri, Sacheendra, Overweel, Leon, Versluis, Laurens, Trivedi, Animesh, Iosup, Alexandru, El-Araby, Esam, Kalogeraki, Vana, Pianini, Danilo, Lassabe, Frederic, Porter, Barry, Ghahremani, Sona, Nunes, Ingrid, Bakhouya, Mohamed, Tomforde, Sven
Publikováno v:
2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS): [Proceedings], 158-163
STARTPAGE=158;ENDPAGE=163;TITLE=2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS)
Talluri, S, Overweel, L, Versluis, L, Trivedi, A & Iosup, A 2022, Empirical Characterization of User Reports about Cloud Failures . in E El-Araby, V Kalogeraki, D Pianini, F Lassabe, B Porter, S Ghahremani, I Nunes, M Bakhouya & S Tomforde (eds), 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) : [Proceedings] . Institute of Electrical and Electronics Engineers Inc., pp. 158-163, 2nd IEEE International Conference on Autonomic Computing and Self-Organizing Systems, ACSOS 2021, Virtual, Online, United States, 27/09/21 . https://doi.org/10.1109/ACSOS52086.2021.00039
STARTPAGE=158;ENDPAGE=163;TITLE=2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS)
Talluri, S, Overweel, L, Versluis, L, Trivedi, A & Iosup, A 2022, Empirical Characterization of User Reports about Cloud Failures . in E El-Araby, V Kalogeraki, D Pianini, F Lassabe, B Porter, S Ghahremani, I Nunes, M Bakhouya & S Tomforde (eds), 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) : [Proceedings] . Institute of Electrical and Electronics Engineers Inc., pp. 158-163, 2nd IEEE International Conference on Autonomic Computing and Self-Organizing Systems, ACSOS 2021, Virtual, Online, United States, 27/09/21 . https://doi.org/10.1109/ACSOS52086.2021.00039
Cloud services are important for healthcare, banking, communication, and other purposes. Inevitably, such services fail, harming the processes and disturbing the people that depend on them. Understanding failure in cloud services is challenging, but
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