지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- Korean Institute of Information Scientists and Engineers Journal of Computing Science and Engineering Journal of Computing Science and Engineering Vol.8 No.1
- 발행연도
- 2014.3
- 수록면
- 17 - 24 (8page)
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초록· 키워드
오류제보하기
In this paper, we propose a new implementation of a failure detector. The implementation uses a dual model of heartbeat and interaction. First, the heartbeat model is adopted to shorten the detection time, if the detection process does not receive the heartbeat message in the expected time. The interaction model is then used to check the process further. The expected time is calculated using the exponential smoothing method. Exponential smoothing can be used to estimate the next arrival time not only in the random data, but also in the data of linear trends. It is proven that the new detector in the paper can eventually be a perfect detector.
목차
Abstract
I. INTRODUCTION
II. THE MODEL OF FAILURE DETECTION
III. AN EXPONENTIAL SMOOTHING ADAPTIVE FAILURE DETECTOR
IV. PROOF
V. EXPERIMENT
VI. CONCLUSION
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2015-560-001353193