Abstract
Land is a complex system of production, ecology, economy, and ecology, which constitutes the basis of human survival and development. In the current land environment, most of China’s land development and utilization are focused on economic interests, while ignoring the environmental impact, which leads to the increase of land use intensity and the increasing pressure on the land environment. In recent years, the research on land ecological security evaluation is deepening, and many land ecological security evaluation methods and genetic network algorithms are proposed. However, due to the complexity and diversity of soil environmental security, the theoretical research of land environmental security evaluation is still the central topic of researchers in related fields. This paper makes an in-depth study of resource situation analysis based on cloud computing monitoring platform, and analyzes the related research needs, including advanced cloud computing monitoring technology, cloud resource trend prediction model, data collection technology, correlation analysis technology, and basic big data estimation algorithm. This paper designs a situation analysis system on cloud computing real-time data monitoring platform, including the module for analyzing resource situation, the module for recording resource data, and the external display module. This paper proposes a new method to estimate the performance of big data stream. Based on this method, we can create a performance calculator to calculate the target source and IP address of each node more efficiently, real time, and accurately in cloud monitoring. In this paper, the land ecological security evaluation method and genetic network algorithm are proposed, which are applied to the cloud computing real-time data monitoring platform, and promote the vigorous development of cloud computing monitoring platform.
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06 December 2021
This article has been retracted. Please see the Retraction Notice for more detail: https://doi.org/10.1007/s12517-021-09158-w
28 September 2021
An Editorial Expression of Concern to this paper has been published: https://doi.org/10.1007/s12517-021-08471-8
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This article has been retracted. Please see the retraction notice for more detail: https://doi.org/10.1007/s12517-021-09158-w"
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Yanyan, Z. RETRACTED ARTICLE: Land ecological evaluation based on genetic network algorithm and real-time data monitoring of cloud computing system. Arab J Geosci 14, 1572 (2021). https://doi.org/10.1007/s12517-021-07973-9
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DOI: https://doi.org/10.1007/s12517-021-07973-9