Name
Abstract | ||
|---|---|---|
Cloud computing requires a robust, scalable, and high-performance infrastructure. To provide a reliable and dependable cloud computing platform, it is necessary to build a self-diagnosis and self-healing system against various failures or downgrades. This paper is the first to study the self-healing function, a challenging topic in today's clouding computing systems, from the consequence-oriented point of view. To fulfill the self-diagnosis and self-healing requirements of efficiency, accuracy, and learning ability, a hybrid tool that takes advantages from Multivariate Decision Diagram and Naïve Bayes Classifier is proposed. An example is used to demonstrate that this proposed approach is effective. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-10665-1_5 | CloudCom |
Keywords | DocType | Volume |
hybrid diagnosis,self-healing function,dependable cloud computing platform,multivariate decision diagram,cloud computing,self-healing requirement,challenging topic,bayes classifier,self-healing system,clouding computing system,decision diagram,naive bayes,autonomic computing | Conference | 5931 |
ISSN | Citations | PageRank |
0302-9743 | 22 | 0.95 |
References | Authors | |
12 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuan-Shun Dai | 1 | 1357 | 98.96 |
| Yanping Xiang | 2 | 157 | 21.73 |
| Gewei Zhang | 3 | 31 | 1.53 |