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Dynamic Decision Making for Self-Adaptive Systems Considering Environment Information
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  • Journal title : Journal of KIISE
  • Volume 43, Issue 7,  2016, pp.801-811
  • Publisher : Korean Institute of Information Scientists and Engineers
  • DOI : 10.5626/JOK.2016.43.7.801
 Title & Authors
Dynamic Decision Making for Self-Adaptive Systems Considering Environment Information
Kim, Misoo; Jeong, Hohyeon; Lee, Eunseok;
Self-adaptive systems (SASs) can change their goals and behaviors to achieve its ultimate goal in a dynamic execution environment. Existing approaches have designed, at the design time, utility functions to evaluate and predict the goal satisfaction, and set policies that are crucial to achieve each goal. The systems can be adapted to various runtime environments by utilizing the pre-defined utility functions and policies. These approaches, however, may or may not guarantee the proper adaptability, because system designers cannot assume and predict all system environment perfectly at the design time. To cope with this problem, this paper proposes a new method of dynamic decision making, which takes the following steps: firstly we design a Dynamic Decision Network (DDN) with environmental data and goal model that reflect system contexts; secondly, the goal satisfaction is evaluated and predicted with the designed DDN and real-time environmental information. We furthermore propose a dynamic reflection method that changes the model by using newly generated data in real-time. The proposed method was actually applied to ROBOCODE, and verified its effectiveness by comparing to conventional static decision making.
self-adaptive system;dynamic decision making;goal model;dynamic decision network;
 Cited by
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