Abstract

The randomness of public health events requires that the cloud-native architecture, as the mainstream architecture of the new generation of the public health information system, has the appropriate flexibility to meet the needs of environmental change. The flexible acquisition of cloud-native architecture requires organizations to invest additional resources. How to plan and formulate resource input is a topic of common concern for public health management and information systems. According to the commercial characteristics of the public health system based on cloud-native architecture, this paper systematically analyzes the external major impact factors and auxiliary factors that affect the flexible cost investment strategy of cloud providers and combines flexible investment strategies to build a cloud-native cost investment model. Finally, case data in practice is applied into the model, and cost planning is discussed according to different situations. The findings indicate that (1) the more cloud providers adopt the changed flexible strategy, the more conducive it is to reduce costs; (2) the larger the application load, the more cloud providers need to use flexible strategies to lower costs; (3) the less the impact of changing the flexible strategy on costs, the more conducive cloud providers use the flexible strategy to decrease costs; (4) the more uneven the distribution of diversity, the higher proportion of investment increases than the proportion of investment, and the more cloud providers consider the investment using flexible strategy. The results of the discussion provide a reference for public health organizations to use flexible strategies and change flexible strategies in a timely manner and expand the research scope of information system cost investment.

Highlights

  • In the prevention and treatment of COVID-19 in 2020, the public health information system plays an important role [1]

  • This article fully considers the nonsystem and unstructured flexible cost input process of public health information system cloud providers with cloud-native architecture as the mainstream and sets the penalty costs caused by default of different normal service time percentages in the decision-making model [4]

  • To clarify the influence of each external influencing factor and flexible strategy on the flexible cost of cloud-native architecture, MATLAB2017b is used below to calculate the minimum cost of cloud providers in different cases, and the flexible cost investment of cloud-native architecture is discussed by comparison

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Summary

Introduction

In the prevention and treatment of COVID-19 in 2020, the public health information system plays an important role [1]. There is little research on the public health system with cloud-native architecture as the mainstream It does not consider the penalty cost of breach of contract with different percentages of normal service time. This article fully considers the nonsystem and unstructured flexible cost input process of public health information system cloud providers with cloud-native architecture as the mainstream and sets the penalty costs caused by default of different normal service time percentages in the decision-making model [4]. In this case, the cloud provider architecture flexible cost investment provides a reference strategy. It is supplemented by research related to the field of information management [5]

Flexible Cost Input Model of CloudNative Architecture
Outline Model of Flexible Cost Investment of Cloud-Native Architecture
Computational Model for Flexible Cost Input of Cloud-Native Architecture
Design phase
Analysis of Planning Strategies
Summary and Prospect
Full Text
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