Evaluation of Cloud Service Reliability Based on Classified Statistics and Hierarchy Variable Weight
| Autor: | Ze-Sheng Wang, Zhi-Peng Wang, Luo-Ming Meng, Zhi-Feng Chen, Xue-Song Qiu, Ping Zhou |
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| Rok vydání: | 2018 |
| Předmět: |
Service (business)
Hierarchy Computer science business.industry 020206 networking & telecommunications Cloud computing 02 engineering and technology Theoretical Computer Science Hardware and Architecture Control and Systems Engineering Modeling and Simulation Signal Processing Pattern recognition (psychology) Statistics 0202 electrical engineering electronic engineering information engineering Variable weight 020201 artificial intelligence & image processing business Know-how Reliability (statistics) Reliability model Information Systems |
| Zdroj: | Journal of Signal Processing Systems. 91:1115-1126 |
| ISSN: | 1939-8115 1939-8018 |
| DOI: | 10.1007/s11265-018-1407-2 |
| Popis: | With the rapid growth of Cloud Computing, more and more organizations choose cloud service to support their business. And the reliability of cloud service has been widely concerned. To better serve the use of cloud service as well as efficiently decide the reliability of cloud service, it is important to know how to deal with the evaluation. In this paper, we establish a cloud service reliability model. This model can be presented to solve the problems with cloud service reliability evaluation which is significantly affected by subjective factors and to further improve its scientific nature. Meanwhile, we proposed a method based on classified statistics and hierarchy variable weight to efficiently evaluate the cloud service reliability based on the model. The experimental results show that the model and method constructed in this paper can be used to efficiently evaluate the cloud service reliability through the classified processing and hierarchical division of subjective and objective characteristics/ subcharacteristics. |
| Databáze: | OpenAIRE |
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