Addressing Global Climate Change With Big Data-Driven Urban Planning Policy

Zacharias, John

doi:10.4018/ijepr.20211001.oa1

Cited by 7 publications

(7 citation statements)

References 37 publications

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“…(3) Synergy between analyses. Decision analysis is usually an indispensable part of transactions, and the objects of analysis are data and resources [10][11]. The goal is to transform existing data and resources into big data value.…”

Section: Figure 1: 4c Model To Carry Out the Coordination Of Four Asp...mentioning

confidence: 99%

Application Model System of Ice and Snow Sports Intelligent Tourism on Acccount of Big Data

2022

IJFET

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The practice of ice and snow sports tourism in China usually takes the Beijing Winter Olympic Games as the basis to vigorously develop winter business and ice and snow projects. Scholars study how to conduct more in-depth research on ice and snow sports smart tourism. Skiing now accounts for about 1% of the population, and the sport is still in its infancy. Scholars put forward the big data technology, vigorously build ice and snow sports tourism wisdom application model, in order to let more people to understand and study the application of ice and snow sports tourism wisdom, at the same time with the aid of this model to promote the ice and snow sports tourism wisdom to promote consumption, reveals the consumption of snow and ice project factors, put forward how to further enhance the level of consumption. This paper studies the construction of the application model system of ice and snow sports intelligent tourism on account of big data, and reveals the relevant content and theoretical knowledge of the construction of the application model system of ice and snow sports intelligent tourism. The data test shows that the construction and exploration of the application model system of ice and snow sports smart tourism on account of big data effectively promotes the progress of the application model of ice and snow sports smart tourism.

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Section: Figure 1: 4c Model To Carry Out the Coordination Of Four Asp...mentioning

confidence: 99%

Application Model System of Ice and Snow Sports Intelligent Tourism on Acccount of Big Data

2022

IJFET

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“…The determination of data security level should first consider the threat level of data [12][13]. The threat level is on behalf of the probability of occurrence of security incidents and the degree of loss caused to the consequences.…”

Section: )Calculation Of Data Threat Levelmentioning

confidence: 99%

E-government(EG) Information Service Quality (ISQ) Evaluation Lineage on Account of Big Data (BD) Technology

2022

IJFET

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As a community public service and government affairs, EG has a wide range of risks and huge risks. Facing this situation, EG ISQ evaluation urgently needs to be constructed, which can effectively solve the problem of ISQ evaluation and cut down the risk of e-commerce. On the other hand, EG involves not only the application of IT but also political issues such as power security and power sovereignty sensitive information. China's further opening up and reform, the transformation of government functions and modes of operation and other respects are in urgent need of the blossom and advance of EG. This text studies the construction of EG ISQ evaluation lineage on account of BD technology, focusing on the operation principle and related theories of EG ISQ evaluation. The data checkout proves that the EG ISQ evaluation lineage on account of BD technology has expeditous performance in the area of service quality evaluation.

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“…(3) Parallelism Due to the limited processing power of computer systems, due to many factors (such as time difference), the availability of each computer is not equal. Distributed systems can make multiple computers in the same network work together, process in parallel, improve the efficiency of the whole system, use the load balancing algorithm to balance the load of each computer, and improve the performance of the whole system [13][14].…”

Section: Features Of Distributed Systemsmentioning

confidence: 99%

Distributed System Resource Management and Deployment Platform Considering Big Data

2021

DPS

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With the development of the Internet and the advent of the mobile Internet era, to meet the business needs of big data, the scale of clusters is also increasing, and there are also problems in distributed automated development and automated management. The system is becoming more and more obvious. The purpose of this paper is to study the design and implementation of a resource management and distributed system development platform that considers big data. The platform is built on the OCF framework, and based on the existing OCF components, services are developed and deployed as components. The platform is based on the resource management of the underlying system, adopts an extensible node allocation strategy for node allocation, deploys and uninstalls services in the form of components, and closely integrates the development and deployment of services, thereby reducing costs and difficulty in operation and maintenance. Performance analysis test results show that when the data grows significantly, the time taken by the system also increases, especially when the data goes from 500 MB to 1 GB. The test results of service offloading latency show that data size has little effect on offloading service latency, but the overall efficiency of resource management and distributed system development platform is higher than that of Ansible.

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Addressing Global Climate Change With Big Data-Driven Urban Planning Policy

Cited by 7 publications

References 37 publications

Application Model System of Ice and Snow Sports Intelligent Tourism on Acccount of Big Data

Application Model System of Ice and Snow Sports Intelligent Tourism on Acccount of Big Data

E-government(EG) Information Service Quality (ISQ) Evaluation Lineage on Account of Big Data (BD) Technology

Distributed System Resource Management and Deployment Platform Considering Big Data

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