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IoT 환경에서 QoS 기반 서비스 조합을 위한 신뢰 평가모델

A Trust Evaluation Model on QoS based Services Composition for IoT Environments

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참고문헌

키워드

주제분류컴퓨터학

초록

M2M(machine-to-machine) 상호작용을 기반으로 하는 개방형의 이기종 환경에서 서비스 선택은 민감한문제로서, IoT 장치들이 상호작용을 하기 위해 최선의 선택을 할 수 있도록 사회적 신뢰 관계의 개념을 적용해 볼 수 있다. 본 논문에서는 IoT 환경에서 사회적 신뢰 관계를 기반으로 작성된 프로파일을 이용한 조합서비스의 QoS 예측과 신뢰 수준을 평가하기 위한 방법을 제안한다. 정량적인 평가를 통한 서비스 선택이 이루어짐으로써, 보다 신뢰 할 수 있는 서비스 조합의 결과를 얻을 수 있을 것으로 기대한다.

Abstract

In an open, heterogeneous environment based on machine-to-machine (M2M) interactions, service selection is a critical issue and the concept of social trust can be applied to service selection so that IoT devices can make the best choice for interaction. In this paper, we propose a method for evaluating the trust level of the service and for estimating the QoS of the composite service using a profile created based on social trust relationship in IoT environment. As the service selection is made through quantitative evaluation, it is expected that the result of a more reliable service combination can be obtained.

참고문헌 (14)

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  2. Radu Calinescu, "Dynamic QoS Management and Optimization in Service-Based Systems", IEEE Transactions on Software Engineering, 37(3), pp.387~409 (2011), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
  3. Zibin Zheng, "Collaborative Web Service QoS Prediction via Neighborhood Integrated Matrix Factorization", IEEE Transactions on Services Computing, 6(3), pp.289~299 (2013), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
  4. Zibin Zheng, "Investigating QoS of Real-World Web Services", IEEE Transactions on Services Computing, 7(1), pp.32~39 (2014), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
  5. Zhen Ye, "Long-Term QoS-Aware Cloud Service Composition Using Multivariate Time Series Analysis", IEEE Transactions on Services Computing, 9(3), pp.382~393 (2016), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
  6. A. Amin, "An automated approach to forecasting QoS attributes based on linear and non-linear time series modeling", Proceedings of the International Conference on Automated Software Engineering, pp.130~139 (2012)
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  8. Y. Zhang, "Exploring latent features for memory-based qos prediction in cloud computing", Proceedings of Symposium on Reliable Distributed Systems, pp.1~10 (2011)
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  12. "Trustworthiness mechanisms specification" (2019)[URL]
  13. "Stanford Large Network Dataset Collection"[URL]
  14. 심정연, "감정 상태를 고려한 IoT 스마트홈 자율조절 피드백 시스템의 설계", 한국소프트웨어감정평가학회 논문지, 14(2), pp.95~103 (2018), 한국소프트웨어감정평가학회

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