Research on the design of analytical communication and information model for teaching resources with cloud‐sharing platform

Abstract

The recent growth in the adoption by several organizations of cloud computing services has created the challenge to determine their performance of information model. The ability of cloud computing systems to provide the required services in line with the quality of service and service level agreement constraints is a major problem for cloud service providers and consumers. To that end, it is possible to develop the means of ensuring that the desired levels of success are achieved in simulated environments. In the eventual stage of commissioning and running cloud computing, this will reduce the disrupted service and performance degradation problems using analytical communication and information model of cloud technology. However, several modelers and simulators for simulating cloud computing systems are available in conventional research. This paper, therefore, provides a critical assessment with state of the art cloud computing modeling and simulation frameworks. It compares the prominent frameworks of simulation regarding application programming interface features, programming flexibility, operating system requirements, services supported, and licensing needs with 95% reliability. It offers recommendations to the researchers, administrators, and managers of cloud computing systems regarding the choice of the most appropriate framework.

Intelligent retrieval method of mobile learning resources in the intelligent higher education system

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“…Taking students' English learning as the entry point, Zheng et al analyzed the data mining training technique for English majors based on the Apriori algorithm, using the algorithm to realize deep mining of English learning data, to discover the study habits closely related to poor English learning performance, the influence of students' revision on students' performance, etc. [13]. Ruiz-Gómez et al focus on the English subject and designs a test model based on the English subject's intelligent tutor system, which includes two modules: question bank maintenance and personalized grouping.…”

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“…This indicates that the objectives and/or restrictions form categories of options with ill‐defined bounds. According to the statistical results of the judgment, comprehensive fuzzy decision‐making on the talent education model is achieved [10,31]. The global stability of fuzzy decision‐making functional is satisfied: $$$\mathop{\min }\limits_{\beta }\Vert {\bf{Y}}(i)-{\bf{X}}(i){\boldsymbol{\beta }}\Vert =\mathop{\min }\limits_{\beta }\Vert \left[\begin{array}{c}{{\bf{Y}}}_{i1}\\ {{\bf{Y}}}_{i2}\\ \vdots \\ {{\bf{Y}}}_{ip(i)}\end{array}\right]-\left[\begin{array}{c}{{\bf{U}}}_{i1}{\unicode{x1D6BA}}_{i1}{{\bf{V}}}_{i1}\\ {{\bf{U}}}_{i2}{\unicode{x1D6BA}}_{i2}{{\bf{V}}}_{i2}\\ \vdots \\ {{\bf{U}}}_{ip(i)}{\unicode{x1D6BA}}_{ip(i)}{{\bf{V}}}_{ip(i)}\end{array}\right]{\boldsymbol{\beta }}\Vert .$$$…”

“…Mining is necessary to get any element that cannot be cultivated naturally or made synthetically in research or manufacturing. Mining, in a broader sense, refers to the extraction of an exhaustible commodity, including gasoline, oil, gas, or even freshwater [19,31]. The core element and the foundation will manage the guidance for the different thinking and the conversation for the production methods and the environment of managing the beneficial outcomes.…”

“…This indicates that the objectives and/or restrictions form categories of options with ill-defined bounds. According to the statistical results of the judgment, comprehensive fuzzy decision-making on the talent education model is achieved [10,31]. The global stability of fuzzy decisionmaking functional is satisfied:…”