• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2001년도 가을 학술발표논문집 Vol.28 No.2 (3)
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• pp.553-555
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• 2001

본 논문에서는 실시간 시스템인 전화 교환기에서 운영되는 C 언어 기반 분산 처리 시스템인 uniORB 상에서 이벤트 전송을 담당하는 서비스인 Event Service를 구현하였으며 다양한 이벤트의 타입과 필터링기능, QoS를 제공하는 Notification Service에 대한 실시간 버전의 설계를 하였다.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회/대한산업공학회 2005년도 춘계공동학술대회 발표논문
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• pp.157-163
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• 2005

Nowadays, the web service was based on composing the e-business and distributed computing environment. But existing workflow management systems have many problems with the interoperability between companies because they are made before most web services. For these problems, the workflow based composition language such as the Business Process Execute Language for Web Services (BPEL4WS or BPEL) appeared in expressing the web service composition. In this paper, we present an event based rule management system architecture that executes automatically the BPEL using the Event-Condition-Action (ECA) rules. The event based rule management system consists of the event manager, rule manager, and Jess. The Jess is the part of executing and deciding the condition.

• 정보처리학회논문지A
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• 제9A권1호
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• pp.19-28
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• 2002

이벤트에 기반한 약결합의 분산 응용이 인터넷과 같은 광역네트워크 상에서의 주요 응용분야로 대두되고 있다. 이를 지원하기 위해 이벤트 통지서비스가 필요하다. 광역 네트웍크상에서 이벤트 통지 서비스를 구현하는 방법으로 내용기반 이벤트 라우팅이 최근 활발히 연구되고 있다. 본 논문에서는 효과적인 내용기반 이벤트 라우팅 알고리즘을 구현하기 위해 기존에 발표된 대표적인 이벤트 통지서비스 시스템인 SIENA에 바탕을 두고, SIENA에서의 이벤트 라우팅 알고리즘의 문제점을 분석하고 이를 개선한 라우팅 알고리즘을 제안한다.

• 한국시뮬레이션학회:학술대회논문집
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• 한국시뮬레이션학회 2003년도 추계학술대회 및 정기총회
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• pp.51-57
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• 2003

In operating distributed systems, proactive management is one of the major concerns for better quality of service and future capacity planning. In order to handle this management problem effectively, it is necessary to analyze performances of the distributed system and events generated by components in the system. This paper provides a rule-based event parsing engine for proactive management. Our event parsing engine uses object hooking-based and event-token approaches. The object hooking-based approach prepares new conditions and actions in Java classes and allows dynamically exchange them as hook objects in run time. The event-token approach allows the event parsing engine consider a proper sequence and relationship among events as an event token to trigger an action. We analyze the performance of our event parsing engine with two different implementations of rule structure; one is table-based and the other is tree-based.

• Journal of Communications and Networks
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• 제14권6호
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• pp.597-605
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• 2012

With the smart grid coming near, wide-area supervisory control and data acquisition (SCADA) becomes more and more important. However, traditional SCADA systems are not suitable for the openness and distribution requirements of smart grid. Distributed SCADA services should be openly composable and secure. Event-driven methodology makes service collaborations more real-time and flexible because of the space, time and control decoupling of event producer and consumer, which gives us an appropriate foundation. Our SCADA services are constructed and integrated based on distributed events in this paper. Unfortunately, an event-driven SCADA service does not know who consumes its events, and consumers do not know who produces the events either. In this environment, a SCADA service cannot directly control access because of anonymous and multicast interactions. In this paper, a distributed security framework is proposed to protect not only service operations but also data contents in smart grid environments. Finally, a security implementation scheme is given for SCADA services.

• 한국컴퓨터정보학회논문지
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• 제14권4호
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• pp.87-99
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• 2009

SOA를 도입하는 하향식 (top-down) 방법은 온톨로지를 기반으로 서비스를 분석하고 설계하는 서비스 모델링 단계를 핵심으로 봄으로써 SOA의 장점을 가장 잘 반영할 수 있는 방법으로 권장되고 있다. 그러나 대부분의 기업들은 하향식 방법이 최상이라는 것을 알면서도 기업 이윤 창출에 단기적인 효과가 드러나지 않고 도입 초기에 개발시간과 비용이 증대되므로 이를 꺼리게 된다. 특히 잘 정의된 컴포넌트 시스템을 이미 사용하고 있는 경우에 더욱 그러하다. 따라서 본 논문에서는 기존의 잘 정의된 컴포넌트시스템을 최대한 이용할 수 있는 상향식 (bottom-up) 서비스식별 방법을 제안한다. GUI는 직접 사용자의 입력을 받아 들여 이벤트를 발생시킨다는 점에 착안하여 이벤트의 경로를 연결하면 비즈니스 프로세스에 근사시킬 수 있다. 따라서 컴포넌트와 상호작용하는 GUI의 이벤트 수를 기준으로 핵심 GUI를 선정하고 핵심 GUI로부터 연결되는 이벤트 경로를 대상으로 기존의 순차패턴 마이닝 알고리즘을 변형하여 사용자의 서비스 사용 패턴을 추출한다. 실험결과 추출된 이벤트 패턴에 응집도를 적용하여 다양한 크기의 비즈니스 서비스를 식별할 수 있음을 보였다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.32-32
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• 2000

We present CReMeS, a CORBA-compliant design and implementation of a new real-time communication service. It provide for of a new real-time communication service. It provide for efficient, predictable, and scalable communication between information producers and consumers. Experimental results demonstrate that CReMeS can achieve better performance, predictability and scalability than a Real-Time implementaion of the CORBA Event Service.

• 한국전자통신학회논문지
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• 제19권3호
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• pp.483-496
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• 2024

본 논문은 위성 네트워크에서 단말의 서비스 품질을 향상시키기 위하여 단말의 이동성을 고려한 위치 정보 기반 빔 간 핸드오버 이벤트를 제안한다. 단말은 서빙 셀과 이웃 셀 중심 사이의 거리를 실시간으로 측정하고 단말의 이동 속도를 고려하여 핸드오버 이벤트 조건을 만족하는지 확인한다. 성능 분석 결과 기존의 수신 신호 세기 기반 핸드오버 이벤트보다 제안하는 위치 정보 기반 핸드오버 이벤트가 불필요한 핸드오버 트리거 이벤트 발생 빈도를 감소시켜 단말의 서비스 지속성을 향상하는 것을 확인하였다.

• 한국IT서비스학회지
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• 제17권4호
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• pp.75-83
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• 2018

Enterprises need to monitor systems for reliable IT service operations to quickly detect and respond to events affecting the service, thereby preventing failures. Events in non-critical systems can be seen as a precursor to critical system incidents. Therefore, event relationship analysis in the operation of IT services can proactively recognize and prevent faults by identifying non-critical events and their relationships with incidents. This study used the Recurrent Neural Network and Long Short Term Memory techniques to create a model to analyze event relationships in a system and to verify which models are suitable for analyzing event relationships. Verification has shown that both models are capable of analyzing event relationships and that RNN models are more suitable than LSTM models. Based on the pattern of events occurring, this model is expected to support the prediction of the next occurrence of events and help identify the root cause of incidents to help prevent failures and improve the quality of IT services.

• 산업경영시스템학회지
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• 제39권2호
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• pp.129-137
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• 2016

To identify the cause of the error and maintain the health of system, an administrator usually analyzes event log data since it contains useful information to infer the cause of the error. However, because today's systems are huge and complex, it is almost impossible for administrators to manually analyze event log files to identify the cause of an error. In particular, as OpenStack, which is being widely used as cloud management system, operates with various service modules being linked to multiple servers, it is hard to access each node and analyze event log messages for each service module in the case of an error. For this, in this paper, we propose a novel message-based log analysis method that enables the administrator to find the cause of an error quickly. Specifically, the proposed method 1) consolidates event log data generated from system level and application service level, 2) clusters the consolidated data based on messages, and 3) analyzes interrelations among message groups in order to promptly identify the cause of a system error. This study has great significance in the following three aspects. First, the root cause of the error can be identified by collecting event logs of both system level and application service level and analyzing interrelations among the logs. Second, administrators do not need to classify messages for training since unsupervised learning of event log messages is applied. Third, using Dynamic Time Warping, an algorithm for measuring similarity of dynamic patterns over time increases accuracy of analysis on patterns generated from distributed system in which time synchronization is not exactly consistent.