• IEMEK Journal of Embedded Systems and Applications
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• v.7 no.5
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• pp.267-275
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• 2012

In this paper, we present the model-based autonomic computing framework for a cyber-physical system which provides a self-management and a self-adaptation characteristics. A development process using this framework consists of two phases: a design phase in which a developer models faults, normal status constrains, and goals of the CPS, and an operational phase in which an autonomic computing engine operates monitor-analysis-plan-execute(MAPE) cycle for managed resources of the CPS. We design a hierachical architecture for autonomic computing engines and adopt the Model Reference Adaptive Control(MRAC) as a basic feedback loop model to separate goals and resource management. According to the GroundVehicle example, we demonstrate the effectiveness of the framework.

• Journal of KIISE:Computer Systems and Theory
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• v.32 no.11_12
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• pp.566-577
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• 2005

A ubiquitous computing system could be constructed not only with one computer but with networks of computers (or ether devices with computing power) embedded in everyday objects. For this, dependability must be guaranteed for each single component of a system and for the whole system which might be more than just a sum of its components. This paper proposes an autonomic self-management mechanism that ran operate for 24 hours/day with the minimum human intervention. In addition, we validate the autonomic fault management scheme based on a workload model derived from the system log analysis.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11a
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• pp.520-522
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• 2005

본 논문에서는 기존의 그리드 컴퓨팅(Grid Computing)에 자율 컴퓨팅(Autonomic Computing)기술을 적용한 자율 그리드 컴퓨팅(Autonomic Grid Computing)에 관하여 연구하였다. 자율 그리드 컴퓨팅 기술 중 자기 구성(Self-Configuration)을 기존의 그리드 컴퓨팅에 적용하는 기법을 새롭게 제안하였다. 장시간 수행 되어야 하는 과학기술 분야의 연산 작업은 연산시간을 단축하기 위해 새로운 노드의 추가와 같은 시스템의 환경 변화를 자동 감지하여 수행중인 연산 작업에 새로운 노드를 추가할 필요가 있다. 제안한 방법은 새롭게 추가된 노드를 연산 작업에 포함하도록 시스템의 변화를 스스로 구성한다. 기존의 그리드 컴퓨팅 보다 시스템의 변화에 보다 잘 적응한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.9
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• pp.4280-4300
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• 2017

The fact that cloud computing services have been proposed in recent years, organizations and individuals face with various challenges and problems such as how to migrate applications and software platforms into cloud or how to ensure security of migrated applications. This study reviews the current challenges and open issues in cloud computing, with the focus on autonomic resource management especially in federated clouds. In addition, this study provides recommendations and research roadmaps for scientific activities, as well as potential improvements in federated cloud computing. This survey study covers results achieved through 190 literatures including books, journal and conference papers, industrial reports, forums, and project reports. A solution is proposed for autonomic resource management in the federated clouds, using machine learning and statistical analysis in order to provide better and efficient resource management.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.05a
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• pp.153-158
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• 2006

The emergence of ubiquitous autonomic computing and network environment will change the service architecture information system which will be a new application area in SCM/logistics systems. In this study we surveyed the technical trend map of ubiquitous and its application in SCM/logistics support system design. We described the evolutional model of ubiquitous computing community for SCM/logistics system. It is consisted of three view points; self-growing, autonomic, and context-aware, which will allow the decision makers to be benefited from web and mobile technology and are useful for proactive SCM/logistics support system. Finally, we suggested a cooperative research planning for the development ubiquitous system between the government research center, university, and industry research activities.

• Journal of KIISE:Software and Applications
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• v.35 no.12
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• pp.716-730
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• 2008

In Service-Oriented Architecture (SOA), service providers develop and deploy reusable services on the repositories, and service consumers utilize blackbox form of services through their interfaces. Services are also highly evolvable and often heterogeneous. Due to these characteristics of the service, it is hard to manage the faults if faults occur on the services. Autonomic Computing (AC) is a way of designing systems which can manage themselves without direct human intervention. Applying the key disciplines of AC to service management is appealing since key technical issues for service management can be effectively resolved by AC. In this paper, we present a theoretical model, Symptom-Cause-Actuator (SCA), to enable autonomous service fault management in SOA. We derive SCA model from our rigorous observation on how physicians treat patients. In this paper, we first define a five-phase computing model and meta-model of SCA. And, we define a schema of SCA profile, which contains instances of symptoms, causes, actuators and their dependency values in a machine readable form. Then, we present detailed algorithms for the five phases that are used to manage faults the services. To show the applicability of our approach, we demonstrate the result of our case study for the domain of 'Flight Ticket Management Services'.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04a
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• pp.274-276
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• 2004

기존의 컴퓨팅환경에서 유비쿼터스 컴퓨팅 환경으로의 전환이 이루어지면서 사용자는 언제 어디서나 네트워크에 연결될 수 있다. 이는 역으로 말하면 언제 어디서나 사용자의 정보가 네트워크에 유출될 수도 있다는 것을 의미한다. 컴퓨팅 환경에서 보안성과 편리성의 추구는 서로 상반되는 Trade-off 문제이다. 이 논문에서는 오토노믹 컴퓨팅(Autonomic Computing)의 개념 [1, 2］을 이용, 정해진 개인정보 보호정책(Privacy Policy)에 기반 하여 개인정보를 보호하고 서비스 사용자의 환경 변화에 대안 상황인지(Situation-Aware)를 통해 유연한 개인정보 보호정책을 적용할 수 있는 아키텍쳐를 제안함으로서 보안성(개인정보보호)과 편리성(사용자 개입의 최소화)의 문제를 다루어보았다.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10a
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• pp.233-237
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• 2006

I/T 산업의 발전으로 다양한 종류의 디바이스와 시스템 소프트웨어 및 응용프로그램이 일반화되면서 시스템의 복잡도가 높아지는 문제점이 발생하였고 이러한 문제는 시스템 운영관리를 위한 전문지식이 없는 일반 사용자에게는 더욱 치명적이다. 이러한 문제점을 해결하기 위해서 Autonomic Computing개념이 연구되고 있다. 본 연구에서는 보다 개인화되고 자원제약적인 웨어러블 컴퓨팅 환경에 적합한 Autonomic Personal Computing을 위한 자율관리 서비스 구조를 제안한다. 본 논문에서 제안하는 Configuration Manager는 Self-Configuration을 위한 필수 기능만을 Client에 탑재하고, 많은 리소스 소비를 요구하는 기능은 Server의 도움을 받는 구조로 자원제약적인 웨어러블 컴퓨팅환경에서 원활한 Self-Configuration을 제공한다.

• Annual Conference of KIPS
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• 2004.05a
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• pp.1553-1556
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• 2004

기존의 컴퓨팅환경에서 유비쿼터스 컴퓨팅환경으로의 전환이 이루어지면서 사용자는 언제 어디서나 네트워크에 연결될 수 있다. 이는 역으로 말하면 언제 어디서나 사용자의 정보가 네트워크에 유출될 수도 있다는 것을 의미한다. 컴퓨팅 환경에서 개인정보의 보호와 편리성의 추구는 서로 상반되는 문제이다. 이 논문에서는 오토노믹 컴퓨팅(Autonomic Computing)의 개념을 이용, 정해진 개인정보 보호정책(Privacy Policy)에 기반 하여 개인정보를 보호하고 서비스 사용자의 환경 변화에 대한 상황인지(Situation-Aware)를 통해 유연한 개인정보 보호정책을 적용 할 수 있는 아키텍쳐를 제안함으로서 유비쿼터스 환경이 주는 편리성과 개인 정보 보호를 극대화 할 수 있을 것으로 기대된다.

• The KIPS Transactions:PartA
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• v.15A no.3
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• pp.151-154
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• 2008

A middleware in grid computing environment is required to support seamless on-demand services over diverse resource situations in order to meet various user requirements [1]. Since grid computing applications need situation-aware middleware services in this environment. In this paper, we propose a semantic middleware architecture to support dynamic software component reconfiguration based fault and service ontology to provide fault-tolerance in a grid computing environment. Our middleware includes autonomic management to detect faults, analyze causes of them, and plan semantically meaningful strategies to recover from the failure using pre-defined fault and service ontology trees. We implemented a referenced prototype, Web-service based Application Execution Environment(Wapee), as a proof-of-concept, and showed the efficiency in runtime recovery.