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Towards Self-Adaptive Discrete Event Simulation (SADES)

Kotiadis, Kathy (2016) Towards Self-Adaptive Discrete Event Simulation (SADES). In: Anagnostou, A. and Hoad, K. and Kunc, M., eds. Proceedings of the Operational Research Society Simulation Workshop 2016 (SW16). . pp. 181-191. Operational Research Society, UK (KAR id:53982)

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Systems that benefit from the ongoing use of simulation, often require considerable input by the modeller(s) to update and maintain the models. This paper proposes automating the evolution of the modelling process for discrete event simulation (DES) and therefore limiting the majority of the human modeller’s input to the development of the model. This mode of practice could be named Self-Adaptive Discrete Event Simulation (SADES). The research is driven from ideas emerging from simulation model reuse, automations in the modelling process, real time simulation, dynamic data driven application systems, autonomic computing and self-adaptive software systems. This paper explores some of the areas that could inform the development of SADES and proposes a modified version of the MAPE-K feedback control loop as a potential process. The expected outcome from developing SADES would be a simulation environment that is self-managing and more responsive to the analytical needs of real systems.

Item Type: Conference or workshop item (Paper)
Projects: Self Adaptive Discrete Event Simulation
Uncontrolled keywords: simulation, discrete-event simulation
Subjects: Q Science > Operations Research - Theory
Divisions: Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Funders: [UNSPECIFIED] University of Kent
[UNSPECIFIED] Daphne Jackson
Depositing User: Kathy Kotiadis
Date Deposited: 03 Feb 2016 11:40 UTC
Last Modified: 22 Nov 2021 16:14 UTC
Resource URI: (The current URI for this page, for reference purposes)
Kotiadis, Kathy:
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