Reliability Analysis Based on a Jump Diffusion Model with Two Wiener Processes for Cloud Computing with Big Data

作者: Yoshinobu Tamura , Shigeru Yamada

DOI: 10.3390/E17074533

关键词:

摘要: At present, many cloud services are managed by using open source software, such as OpenStack and Eucalyptus, because of the unification management data, cost reduction, quick delivery work savings. The operation phase computing has a unique feature, provisioning processes, network-based diversity changes depending on external factors. We propose jump diffusion model with two-dimensional Wiener processes in order to consider interesting aspects network traffic big data computing. In particular, we assess stability software sample paths obtained from processes. Moreover, discuss optimal maintenance problem based proposed model. Furthermore, analyze actual show numerical examples dependability optimization considering

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