Amount Of Available Resources Research Articles

Factors of children's allocation behavior: peer relationship and resource quantity as the main determinants.

This study investigated the resource allocation of Chinese sixth-graders and the role of peer relationship in different resource conditions (N = 132, Mage = 11. 35 years, SD = 0.60). We designed the resource quantity as a between-group variable, with one group participating in a resource-limited experiment and another group in a resource-abundant experiment. Both groups of children allocated token resources to three types of peers relationships: good friends, disliked individuals, and strangers. Based on our experimental hypotheses, we presupposed three experimental outcomes: selfish allocation, equal allocation, and altruistic allocation. To analyze the data, we employed multivariate unordered regression analysis and performed two rounds of regression analyses using both selfish and altruistic allocations as reference categories to enhance the statistical power of regression model. Our results reveal that the resource quantity had a significant hindering effect on children's allocation behaviors, as the amount of available resources for allocation increased, so did their willingness to allocate selfishly. It was also found that an increase in resources led to a decrease in the proportion of children allocating equally. Nonetheless, the results still revealed generalized peer relationship preferences: children tended to allocate more resources to friends than to individuals they disliked. But when faced with disliked individuals, they were relatively more likely to allocate equally. Finally, we observed the proportion of equal allocation and discussed the similar impact of inequality aversion, different allocation contexts, and children's theory of mind on equitable allocation among sixth-graders.

The Role of the Currently Applicable Water Treaties in Conflict Resolution

The Middle East and South Asia are hydropolitical hotspots, where the competition for freshwater has dramatically increased and the amount of available resources decreased, due to several reasons. This paper offers an analysis about two water conflicts, in which relevant paragraphs of the international water law would only provide a temporary water conflict resolution, because present water treaties must be urgently updated to enhance hydropolitical resilience. Overexploitation of the water resources, development of the critical region’s hydroecological conditions, hydrohegemons’ unilateral decisions can be handled with an effective international water governance and waterpolitical reforms.

Rural Tourism in Mountain Rural Comunities-Possible Direction/Strategies: Case Study Mountain Area from Bihor County

Rural mountain areas and their local communities have been subject to research interest over time due to their large amount of available resources, but also their problems. The strategy for some of the rural mountain communities to simultaneously preserve and capitalize on the local resources sustainably is to combine traditional activities with those related to hospitality and recreation in the form of rural tourism activity. In this context, we have used a case study to examine development in a rural mountain community through tourism activities; the study site is the rural mountain area of Bihor County in the Apuseni Mountains, which has outstanding, but untapped, potential for development. In this paper, we address the centralization of representative resources on each component community of the chosen area, concrete information related to the current stage of the development and performance of the activity directly from those involved in the coordination of the activity (rural tourism entrepreneurs) using a specific questionnaire, and proposals for possible directions/strategies to ensure future development of this communities through rural tourism activities.

Progress in the Field of Sustainable Development as a Result of Implementing the Potential of Social Cohesion: Regional Context

The study examines the role of social cohesion in the context of sustainable development of regional societies. It is proved that progress in the field of sustainable development depends on social cohesion as one of the factors ensuring the achievement of environmental, economic and social changes. A mechanism of social cohesion has been developed, the result of which, along with social stability and justice, strengthening citizens' trust in state and public institutions, social welfare, is a request for sustainable development of regions. The article proves that modern challenges, such as social inequality, migration and ethnic differences, can weaken the potential of social cohesion as a catalyst for sustainable development of regions. To quantify the level of social cohesion, a system of indicators is proposed that integrates economic, demographic, educational and other indicators, and allows for a detailed analysis of the current state of social cohesion in various regions. Taking into account the impact of social cohesion indicators on the progress of sustainable development of regions is realised through the inclusion of indicators that reflect the level of social cohesion potential and, at the same time, are a source of data for assessing the achievement of sustainable development goals. Using the example of the EU countries, the analysis of indicators related to the blocks of trust in institutions and economic indicators in assessing the level of social cohesion was carried out. The estimated indicators are also taken into account when calculating the achievement of the following Sustainable Development Goals (SDGS): SDG 1, SDG 8, SDG 10, SDG 16. The proposed approach makes it possible to take into account the indicators that are most vulnerable in terms of their impact on the progress of regions in the field of sustainable development, as well as to form a list of measures, the implementation of which will ensure capacity building of the social cohesion mechanism (hereinafter referred to as SCM). The main innovative contribution of the study is the development of an economic and mathematical model for optimizing resources and prioritizing measures aimed at strengthening social cohesion. The model takes into account the amount of available resources, the need to use them for the implementation of specific activities and an expert assessment of their priority. This approach provides an objective and systematic solution to the challenges of sustainable development, focusing on social cohesion as a key factor. The study proves that the application of the model requires high-quality data, competence in the process of interpreting modelling results and active interaction with stakeholders. In conclusion, it is emphasized that the integration of social cohesion into strategic planning and the application of the proposed model are the basis for more effective and sustainable development of regional society.

Network-Compute Co-Optimization for Service Chaining in Cloud-Edge-Radio 5G Networks

Flexible resource management can be facilitated by recent drastic advances in software-defined networking (SDN) and network function virtualization (NFV) technologies. Most of recent studies on resource management have mainly focused on the independent optimization of network function and computing function on top of a single-layer SDN architecture. In this paper, we focus on networking and processing resource orchestration to enhance the performance of network/computing functions in a hierarchical cloud-edge-radio 5G network architecture. Specifically, we propose a dynamic resource management algorithm, namely <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">RACER</i> , to process network/computing functions by opportunistically exploiting a tradeoff between the characteristics of the cloud and edge with respect to the amount of available resources and transmission delay. Herein, we decompose an original long-term problem including complex decisions in all network layers (that is, cloud, edge, and radio) into spatio-temporal subproblems without loss of optimality by leveraging Lyapunov optimization. Then, we derive the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">RACER</i> algorithm to find the decisions in each layer and each time slot. This online-fashioned algorithm is pragmatic because it not only exploits information obtained from instantaneous time slots, but also operates in a distributed manner with small message exchanges between the different layers. Moreover, we demonstrate the excellent performance improvement of the proposed dynamic and holistic <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">RACER</i> algorithm compared to static and independent policies in the 5G network environment.

The role of distractors in rapid serial visual presentation reveals the mechanism of attentional blink by EEG-based univariate and multivariate analyses.

Attentional blink pertains to the performance of participants with a severe decline in identifying the second target presented after the first target reported correctly within 200-500ms in a rapid serial visual presentation. The current study was conducted to investigate the neural mechanism of the effect of the distractor (D1) that immediately follows first target to attentional blink by altering whether D1 was substituted with a blank with electroencephalography recording. The results showed that D1 interfered with the attentional enhancement and working memory encoding in both single-target rapid serial visual presentation task and dual-target rapid serial visual presentation task, which were mainly manifested in delayed and attenuated P3a and diminished P3b of first target. Single-trial analysis indicated that first target and second target will compete with each other for working memory encoding resources in short lag, but not in the long lag. In addition, D1 interfered with the working memory encoding of second target under short lag rather than long lag in the dual-target rapid serial visual presentation task. These results suggested that attentional blink can be attributed to the limited working memory encoding resource, whereas the amount of available resources is subject to modulation by attention. The D1 hinders the attention enhancement of first target, thereby exacerbating attentional blink.

Analysis of Airport Officers' Preparedness at Yogyakarta International Airport in Facing Potential Tsunami Hazards

Indonesia is a country that has a geological location where three plates meet and two oceans meet. Because of its geological location, Indonesia is a country that is vulnerable to disasters such as the tsunami disaster. Therefore, preparedness is needed to deal with these potential hazards. Preparedness is a series of activities carried out to anticipate disasters through appropriate and efficient steps. Preparedness is emphasized on the ability to take preparatory actions to face disaster emergencies quickly and precisely. At airports that are located in disaster-prone areas, of course, the preparedness of airport officers is of utmost concern. This preparedness can be in the form of training such as simulations and outreach. In addition to preparedness, preparation for disaster mitigation is also needed. This disaster mitigation can be in the form of constructing disaster-resistant buildings, installing evacuation signs and also making policies that are carried out when a disaster occurs. This study uses qualitative methods with data collection techniques through interviews, observation, and documentation. Then proceed with data analysis techniques, namely data reduction, data presentation, and drawing conclusions. The results shown in this study are that the preparedness of airport officers at Yogyakarta International Airport has been very well prepared, namely by conducting training with related parties and also local residents. In addition, work instructions were also prepared so that they could be used as guidelines in the event of a tsunami disaster. Yogyakarta International Airport has prepared structural and non-structural disaster mitigation. This structural mitigation is in the form of building a building that can withstand an earthquake of 8.8 magnitude and a tsunami of 12 meters, making green belts, installing evacuation route signs, and activating an early warning system. The non-structural mitigation set at this airport is making policies that regulate how to mobilize resources during and after a disaster occurs and data on the amount of available resources. After the disaster, how the airport will be operated will be seen how big the impact is on the airport area.

IDENTIFICATION OF NATURAL OBJECTS USING DEEP LEARNING AND ADDITIONAL DATA PREPROCESSING

Abstract. The classification of natural objects in the wild is a popular task in the field of tourism and remote sensing. The key problem is the requirement for system performance in the absence of Internet access and a small amount of available resources, such as a mobile phone. In this regard, to solve the classification problem, it is required to use fairly simple neural networks and rely on a small amount of training data. The paper presents an image preprocessing method for object recognition in the the “Stolby National Park” in Krasnoyarsk city using a neural network. The approach involves applying a set of methods to expand the original training set. To analyze the effectiveness, several different neural networks based on MobileNET V2 are used, which makes it possible to compare test results on the original and extended data sets. We also evaluate the quality of objects identification on open datasets, such as Animals-10 and Landscape Pictures. The results of the experiments show the efficiency of data preprocessing, as well as the high performance of the modified neural network structure for the task of classifying natural objects in the environment.

Evaluation of Clustering Techniques to Estimate the Effective Bandwidth of a Markovian Fluid from Traffic Traces

Integrated services digital networks, designed to transport data in real time, are modeled by a multiplexer system, where several data fluids share a single output. At the time of admission of a new connection, in order to maintain the quality of service (QoS), it is important to know the amount of available resources required by the connections sharing the channel. It is therefore important to have models for the sources and techniques that provide accurate estimates of the resources required for each of them. It is assumed that the network sources are modeled using the Generalized Markovian Fluid Model (GMFM) because of its versatility in describing traffic fluctuations. This is a Markovian fluid where the transfer rate is a random variable whose range and probability distribution are determined by the state of the modulating chain. To measure resource allocation, the concept of Effective Bandwidth (EB) is used, since it allows expressing this magnitude as a function of the model parameters, which will be estimated from traffic traces. As the size of the data to describe the behavior of a source is clearly enormous, they are studied using clustering techniques. In this work, different methods, supervised and unsupervised, are presented to estimate the parameters involved in the calculation of the EB. Finally, the performance of the estimators is analyzed by calculating partition comparison indices, corresponding to the dispatch intervals, which are based on the confusion matrix and the notion of mutual information entropy between partitions, on simulated data.

Resilience and risk-based restoration strategies for critical infrastructure under uncertain disaster scenarios

Improving the resilience of critical infrastructure (CI) systems to natural disasters is essential for society's long-term development. Considering the uncertainty in disaster scenarios, this study first proposes a two-stage risk-neutral stochastic model to develop restoration resource deployment and allocation strategies with the objective of maximizing the expected value of resilience (EVR) of a CI system. Secondly, a risk metric is applied to assess the risk on the value of resilience imposed by the uncertainty. And a multi-objective optimization model for risk management is proposed, in which minimizing the value of the risk metric is formulated as a secondary objective to the EVR. The trade-offs between the EVR and the risk objective are assessed via the ε-constraint method. Finally, the utility of proposed models is illustrated using the electric power system of the Greater Toronto Area (GTA). The results show that: (i) there is a significant advantage in using risk-neutral strategies to improve system resilience over strategies without considering the characteristics of disaster scenarios; (ii) the value of the risk metric can be significantly reduced at the expense of decreasing EVR; and (iii) if the use cost of the resources is considered, there are optimal amounts of available resources for risk-neutral and risk-averse CI system operators. The models can assist CI system operators in selecting effective emergency response strategies for disasters with uncertain scenarios.

Efficiency improvement of health care institutions activities using swot-analysis

Annotation. The use of SWOT analysis to evaluate the activities of medical organizations will allow the management of these institutions to make effective management decisions and choose appropriate strategies, which opens up new directions for future development. The purpose of our research was to conduct a review of literary sources and prove the importance of using a SWOT analysis as one of the key tools for implementing strategic management of any medical institution in order to improve the indicators of the population's health level while using the minimum amount of available resources, identifying strong and weak sides of medical institutions, as well as opportunities and threats of the external environment in the conditions of a market economy. A review of literary sources was conducted from 2004 to 2021, inclusive, using the scientometric databases PubMed, Web of Science, Google Scholar. The search in the scientific literature included the following terms: SWOT analysis, strengths, weaknesses, opportunities, threats, strategic management, healthcare facilities. After a detailed analysis of more than 70 publications, 39 works were selected and included in this review article. The approach of analyzing the work of medical institutions proposed by us allows us to choose the optimal way of development of these organizations and avoid threats from the external environment, to choose the right management decisions regarding the strategic development of the relevant institution, which will increase the competitiveness of the enterprise and the efficiency of its work in general.

ЗАБЕЗПЕЧЕННЯ РОЗВИТКУ ТРАНСПОРТНОГО ПІДПРИЄМСТВА НА ЗАСАДАХ СТАЛОГО РОЗВИТКУ

The article is concerned with studying the theoretical and methodological aspects of development of a transport enterprise on the basis of sustainable development. The relevance of the issue is due to the acceleration of changes in the external environment of economic activity of transport enterprises, which necessitates adjustments to the management system. Climate change, a decrease in the amount of available resources, changing societal requirements and the need to ensure energy efficiency are increasing the relevance of a sustainable development strategy in the modern economy. The issue of phasing out fossil fuels and developing sustainable closed supply chains is a critical issue. At the same time, the transportation sector is one of the largest sources of pollution and energy consumption. An obstacle to sustainable development is the widespread belief that development should be defined primarily as economic growth. This is the frame-work that has been used for many years by developed countries to achieve their current levels of material well-being. The problem with this approach is that, firstly, economic growth does not always guarantee social justice, and secondly, natural resources are depleting in terms of both quality (environmental pollution) and supply (oil reserves). The concept of sustainable development of a transport company is based on achieving a reasonable balance between environmental, economic, social and cultural needs of people. The economic component of sustainable development is focused on the efficient use of limited resources, energy savings, and the use of environmental and material-saving technologies. It includes the use of costeffective routes, combined transportation, ensuring fair prices for services and quality assurance to consumers, increasing the competitiveness of the enterprise, striving for higher added value. The socio-cultural component involves maintaining the sustainability of cultural and social systems, and fair distribution of benefits. It includes social responsibility of enterprises, competence of employees, ensuring occupational safety, as well as good and ergonomic working conditions for employees, and reducing road accidents. The environmental component is aimed at maintaining the integrity of natural systems for current and future generations. It includes the use of renewable energy sources, energy saving, reduction of air emissions and the use of environmentally friendly vehicles. The sustainable development of a transport enterprise is first of all its harmonious development, that is, one that involves the harmonization of all three components.

ПОЛІТИКА ЗЕЛЕНОГО ВІДНОВЛЕННЯ ТЕРИТОРІАЛЬНИХ ГРОМАД ЧЕРЕЗ РОЗВИТОК СІЛЬСЬКОГО ЗЕЛЕНОГО ТУРИЗМУ

Having a significant human, natural, geographical and event potential, Ukraine largely does not use it from the point of view of Tourism Development. The COVID-19 pandemic and the war have worsened this situation by reducing the amount of available resources and tourist magnets and simultaneously creating a favorable political and economic image of the country on the part of the international community, focused on stabilizing the situation and promoting recovery. The active participation of state authorities and representatives of local self-government in this process, against the background of growing public consciousness, reveals new facets of the development of rural green tourism with a focus on the target audience. Taking into account the advantages and weaknesses of competitors, general trends in the development of the industry and the economy as a whole, as well as the prospects for the use of information and communication technologies allows us to reveal and practically realize the potential of both territorial communities and rural green tourism service providers, meeting the needs of consumers and using promising investment tools. The study proves that despite the significant activity of public organizations, international participants, and the public sector of the economy, it is rural green tourism that has prospects for a system of multifunctional incentives for the local economy, social sphere, and political relations at the community level, provided that the increase in expenditures and losses of the local and state budgets is prevented. Despite the general trend towards digitalization of socio-economic relations, the population prefers live communication and the possibility of restoring their own health in rural areas as an alternative to recreation on the seashore and a more economical format of recreation than in the mountains. Recycling, resource reuse, waste reduction, recycling, recycling and composting as components of the Global Sustainable Development Strategy and the European Union's priority concept are fully implemented. This is supported by all stakeholders of rural green tourism. A significant advantage of cooperation and unification of service providers, for example, in the format of a coviling center, allows you to benefit from partnership, organize various forms of leisure and comply with the requirements of greening life and management.

The inception of demographic theory in Serbia

This text contains an account of the first work on theoretical demography in Serbia, which was written in 1862 by Kosta Cukic, a doctor of philosophy from Heidelberg and the first widely recognised Serbian economist. He dealt with this topic in the second volume of his State Economy textbook, the title of which was Economic Policy. Writing about population problems in economic textbooks was a common European practice at that time. Although he wrote for a textbook, his work was not a retelling of generally accepted theories, but a critical discussion of issues that had not been resolved in contemporary science. Therefore, his work can be considered original in the full sense of the word. In the theoretical sense, Cukic relied on Malthus, but also provided significantly different perspectives on many issues. He accepted Malthus?s position that the amount of food is a limiting factor in population growth and that natural fertility is very high due to people?s strong sexual drive. But there were also important differences: in Cukic?s theoretical framework, the iron law of wages does not apply, i.e. wages do not always strive for the existential minimum, as Malthus argued. Cukic also argues that capital affects fertility, since it affects the amount of available resources. Cukic was not a pessimist like Malthus, and instead observed a significant population growth in Europe at the time, without mass famine and pestilence. As we can see, Cukic dealt a lot with Malthus and his theory. This is understandable considering that Malthus was the preeminent theoretician whose work focused on the population problem in those decades, and therefore determination according to his theory and discussion with him was inevitable for anyone who intended to write about population problems. Cukic also dealt with population policy and those aspects of it that were available to the governments of the time: immigration, emigration, and marriage. The basis of his views was strong and consistent liberalism in every respect. Cukic advocated for expanding personal freedoms, such as free decision-making about marriage, and free immigration to the country and emigration from it. In some places he would set minimum technical conditions. ?Personal freedom... is the ideal of the political consciousness of the present time?. Accordingly, he claimed that ?citizens are not just means for governmental purposes?, but on the contrary, it is the government?s duty to ?facilitate and support the aspirations of citizens to particular and general happiness?, thus repeating John Locke?s idea that the state exists for the sake of citizens, and not citizens for the sake of the state. Cukic belonged to a wide circle of authors in the mid-19th century who fundamentally rejected Malthus?s theory: on the one hand, economists who claimed that technological progress and a deepened division of labour would lead to economic progress that would forever postpone the existential crisis that Malthus feared; and on the other, demographers who believed that workers would control their fertility to preserve living standards to a greater extent than Malthus thought possible. Towards the end of the 19th century, the decline of fertility in Western countries provided strong evidence in favour of the latter.

Research on the evaluation system of new energy development decision in Dunhuang city based on analytic hierarchy process

Dunhuang is rich in new energy resources such as solar energy, biomass energy and wind energy, which have great development prospects. However, due to the lack of the objective and scientific evaluation system for the development and utilization of new energy resources in Dunhuang, there have been different opinions and views on the selection of new energy fields that need to be developed first and the development sequence, which is not helpful to the scientific decision-making of new energy development. Aiming to solve this problem, this paper begins from the research status of new energy industry in Dunhuang, takes amount of available resources, land acquisition area, GDP contribution, environmental friendliness, investment cost and policy support as evaluation indicators, and takes biomass power generation, solar thermal utilization, photovoltaic power generation and wind power generation as development targets. The evaluation index system of new energy in Dunhuang is constructed by using the analytic hierarchy process, along with the optimal mode of new energy development in Dunhuang is studied. The study shows that in the evaluation index system of new energy development in Dunhuang, In the evaluation index system, the order of the influence of each index on the weight of the research objectives is the amount of available resources (0.3976) > GDP contribution (0.2684) > investment cost (0.1545) > policy support (0.0876) > environmental friendliness (0.0568) > land acquisition area (0.0350). In the development target layer, the order of the influence of each development factor on the weight of the research object is photovoltaic power generation (0.3535) > solar thermal utilization (0.2525) > wind power generation (0.2306) > biomass power generation (0. 1634). Therefore, Dunhuang should focus on the development of photovoltaic power generation industry. The results provide a abstract reference for the development of new energy in Dunhuang.

Prioritization of Districts in terms of Disaster Preparedness Planning: A Case Study for the Expected Istanbul Earthquake

Preparedness is the second among the four phases of disaster management after mitigation. In big cities with a crowded population like İstanbul, development of a single holistic disaster preparedness plan would be too complex. At this point, prioritization of districts is needed because of the existence of limited amount of available resources (time, staff, money, etc.) plan development stage. This decision can be affected by several factors, so this decision can be defined as a multiple criteria decision-making problem. The main aim in this paper is to develop an analytic approach to obtain the priority rank of districts of the city for disaster preparedness plan development. To do so, a hybrid multiple criteria decision-making model based on SWARA (Stepwise Weight Assessment Ratio Analysis) and WASPAS (Weight Aggregated Sum Product Assessment) is proposed. A case study on earthquake preparedness planning in districts of İstanbul is presented to demonstrate the applicability of the proposed model. Obtained results of the model would be helpful for policy making in volunteer organizations, municipality, and government level.

Not Seeing the Forest for the Trees: A Theory for Scaffolding Students’ Entrepreneurial Mindset

Entrepreneurship education is well accepted within higher education and many universities aim to build their entrepreneurship programs. Moreover, a large number of tools and theories are readily available for instructors to use in their teaching programs. The flipside of the coin is that the overwhelming amount of available resources may result in overwhelmed teachers: on the one hand, one educational approach does not fit all students, yet, on the other hand, it is practically impossible to create a different approach for each student. We develop a theoretical framework highlighting nine categories of students’ entrepreneurial mindset and propose four scaffolding strategies fostering the variety of entrepreneurial mindsets.

Moderating the work distress experience among inpatient hospice staff: a qualitative study.

Background: Palliative and hospice care health professionals may be at risk of poorer psychological outcomes. It is unclear what specific stressors are experienced by staff and what impact they have on their psychological wellbeing. Aims: To identify stressors experienced when working in an adult hospice inpatient unit environment and how these are managed. Methods: Individual interviews were conducted with healthcare professionals working in a hospice adult inpatient unit. Findings: A total of 19 staff were interviewed. Six themes were constructed, with four related to stressors experienced: unrealistic workload, patient care, managing relationships, and work culture. Two themes concerned strategies for managing stressors were identified: peer support and time out. Conclusion: Changes within hospice care provision are placing demands on staff and reducing the amount of available resources. This may be alleviated by a move towards more compassionate workplaces. There is a need for further research to identify how distress can best be managed and how hospice organisations can best support healthcare staff.

Economic Growth, People's Livelihood Preferences of Local Governments and Residents' Health.

This article is aimed to examine the effect of economic growth on the health of residents from the perspective of local government behavior. First of all, it is theoretically proved that in an economy with economic decentralization and political centralization, because the local government implements the central planner's “people-oriented” and “people-centered” requirements, the local government pays attention to both its own consumption and the health of residents. For this reason, he prefers public health investment, and the conclusion is that there is a stable and balanced relationship between residents' health and economic growth. When the local government's relative importance to people's livelihood is greater than its own consumption, the economic growth will have a significant and positive impact on residents' health. And the internal mechanism of economic growth affecting residents' health is combed mathematically. Secondly, using panel data from China's 31 inland provinces from 2003 to 2019, empirical tests show that the hypothesis that China's economic growth promotes residents' health is established. The work of this article means that the improvement of residents' health depends not only on the total amount of available resources brought about by economic growth, but also on the government's livelihood preferences. The public health investment behavior of local governments in China is an important clue to explains that China's economic growth can promote residents' health.

The Construction of University Network Education System Based on Mobile Edge Computing in the Era of Big Data

This article first established a university network education system model based on physical failure repair behavior at the big data infrastructure layer and then examined in depth the complex common causes of multiple data failures in the big data environment caused by a single physical machine failure, all based on the principle of mobile edge computing. At the application service layer, a performance model based on queuing theory is first established, with the amount of available resources as a conditional parameter. The model examines important events in mobile edge computing, such as queue overflow and timeout failure. The impact of failure repair behavior on the random change of system dynamic energy consumption is thoroughly investigated, and a system energy consumption model is developed as a result. The network education system in colleges and universities includes a user login module, teaching resource management module, student and teacher management module, online teaching management module, student achievement management module, student homework management module, system data management module, and other business functions. Later, the theory of mobile edge computing proposed a set of comprehensive evaluation indicators that characterize the relevance, such as expected performance and expected energy consumption. Based on these evaluation indicators, a new indicator was proposed to quantify the complex constraint relationship. Finally, a functional use case test was conducted, focusing on testing the query function of online education information; a performance test was conducted in the software operating environment, following the development of the test scenario, and the server’s CPU utilization rate was tested while the software was running. The results show that the designed network education platform is relatively stable and can withstand user access pressure. The performance ratio indicator can effectively assist the cloud computing system in selecting a more appropriate option for the migrated traditional service system.