Jeongmin Park ¹, Taebok Yoon ², Seunghwa Lee ³

Affiliations
1 Department of Computer Engineering, Korea Polytechnic University, Siheung, 429-793, KR
2 Department of Computer Software, Seoil University, Seoul, 131-702, KR
3 Division of Information and Communication, Baekseok University, Cheonan, 330-704, KR

Abstract

Recently, autonomic computing researches have been applied based on the concepts of self-adaptation. Traditional autonomic control methods are used to model the process or to maximize the system resources in the external view of the managed system. However, they produce a heavy workload for the self-adaption engineers that must analyze the external environment without having access to internal information to model the managed system. To solve these problems, it is highly recommended to specify the managed object by generating the system’s knowledge. Thus, this paper describes an approach to implementing how to monitor system knowledge for autonomic control system. Through these activities, it is possible to minimize the efforts of analyzing the target system of a developer and reduce the system setting overloads for automatic setting of monitoring environment by obtaining the monitoring scope based on the internal system information. The approach is addressed in regard to defining system knowledge required for Autonomic Control from UML model.

Keywords

Autonomic Control System, High Reliability, Monitoring Knowledge

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Jeongmin Park ¹, Seunghwa Lee ², Taebok Yoon ³

Affiliations
1 Department of Computer Engineering, Korea Polytechnic University, 237, Sangidaehak-ro, Siheung-si, Gyeonggi-do, KR
2 Division of Information and Communication, Baekseok University 76, Munam-ro, Dongnam-gu, Cheonan-si, Chungcheongnam-do, KR
3 Department of Computer Software, Seoil University Seoul, 131–702, KR

Abstract

Goal model provides essential knowledge determining autonomic control point and abstracting the complicated managementproblem. Mostoftheexistingmethodssufferfromacommonproblem, inthatthedevelopershavetoanalyze thecomplextargetCPS. NamelymuchtimeandeffortisrequiredtoinspecttheCPS. Thus, thispaperoffersamethodto buildagoalmodelfortheautonomiccontrolofCyber- PhysicalSystems( CPSs).Thisapproachattemptstodefineandapply thesystemknowledgerequiredfortheautonomiccontrolfromthegoalmodel.

Keywords

GoalBasedAutonomicComputing, GoalModeling, Self- Healing

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