Earticle

초록

영어

This paper proposes a generalized cluster risk evaluation model by applying a data mining method to the cloud computing risk evaluation. The model maps data sets into a semantic space via singular value decomposition (SVD), uses a clustering algorithm to classify them and to extract the prototype vector of a particular category from clustering results, and assigns a definite weight to each category so as to set up an initial prototype vector model. The model is taken as the basis for risk evaluation of information system. After the data to be evaluated were mapped to the same semantic space, they are calculated with the prototype vector of each category, so as to obtain the similarity of the category, and the cumulative sum of the similarity with the weight of the corresponding category comes out. Finally, a mean value is calculated to obtain the risk value of the data to be evaluated, namely, the risk value of the occasion when the data is obtained. In this paper, the safety risk information is obtained from the operating system log and Web application server log of a virtual host; the Latent Semantic Analysis-based Generalized Cluster Classifier (LSA-GCC) is adopted and the MapReduce-based LSA-GCC and LSA-SAM parallel acceleration experiment is conducted. The experimental results show that in a cloud computing environment of large-scale parallel processing, the method used in this paper can identify the log events of a cloud computing system and conduct risk prompt rapidly.

목차

Abstract
 1. Introduction
 2. LSA-based Generalized Cluster Classifier
 3. Introduction of LSA-GCC Algorithm
 4. LSA-GCC Log Analysis Model
 5. LSA-based Risk Identification Framework of Cloud Computing System
 5.1 Risk Identification Indicators
 6. Risk Identification Method
 7. Experiment
 8. Parallelized Acceleration of MapReduce of LSA-GCC and LSA-SAM
 9. Parallel Acceleration of LSA-GCC based on MapReduce Framework
 10. Rowing Acceleration of LSA-SAM Evaluation Model based on Map Reduce
 11. Summary
 Acknowledgements
 References

키워드

저자

• Fan Lin [ Software School, Xiamen University, Xiamen ] Corresponding author
• Wenhua Zeng [ Software School, Xiamen University, Xiamen ]
• Yue Wang [ Software School, Xiamen University, Xiamen ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Grid and Distributed Computing

• 간기

  격월간

• pISSN

  2005-4262

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605