• Journal of the Korea Society for Simulation
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• v.23 no.4
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• pp.111-119
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• 2014

The cloud environment need resource management method that to enable the big data issue and data analysis technology. Existing resource management uses the limited calculation method, therefore concentrated the resource bias problem. To solve this problem, the resource management requires the learning-based scheduling using resource history information. In this paper, we proposes the ART (Adaptive Resonance Theory)-based adaptive resource management. Our proposed method assigns the job to the suitable method with the resource monitoring and history management in cloud computing environment. The proposed method utilizes the unsupervised learning method. Our goal is to improve the data processing and service stability with the adaptive resource management. The propose method allow the systematic management, and utilize the available resource efficiently.

• International Journal of Computer Science & Network Security
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• v.22 no.4
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• pp.310-328
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• 2022

Internet of things (IoT) has emerged as the most popular technique that facilitates enhancing humans' quality of life. However, most time sensitive IoT applications require quick response time. So, processing these IoT applications in cloud servers may not be effective. Therefore, fog computing has emerged as a promising solution that addresses the problem of managing large data bandwidth requirements of devices and quick response time. This technology has resulted in processing a large amount of data near the data source compared to the cloud. However, efficient management of computing resources involving balancing workload, allocating resources, provisioning resources, and scheduling tasks is one primary consideration for effective computing-based solutions, specifically for time-sensitive applications. This paper provides a comprehensive review of the source management strategies considering resource limitations, heterogeneity, unpredicted traffic in the fog computing environment. It presents recent developments in the resource management field of the fog computing environment. It also presents significant management issues such as resource allocation, resource provisioning, resource scheduling, task offloading, etc. Related studies are compared indifferent mentions to provide promising directions of future research by fellow researchers in the field.

• Journal of Computing Science and Engineering
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• v.10 no.1
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• pp.21-31
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• 2016

With the application and development of biomedical techniques such as next-generation sequencing, mass spectrometry, and medical imaging, the amount of biomedical data have been growing explosively. In terms of processing such data, we face the problems surrounding big data, highly intensive computation, and high dimensionality data. Fortunately, cloud computing represents significant advantages of resource allocation, data storage, computation, and sharing and offers a solution to solve big data problems of biomedical research. In order to improve the efficiency of resource management in cloud computing, this paper proposes a clustering method and adopts Radial Basis Function in order to compress comprehensive data sets found in biology and medicine in high quality, and stores these data with resource management in cloud computing. Experiments have validated that with such a data-compression-based resource management in cloud computing, one can store large data sets from biology and medicine in fewer capacities. Furthermore, with reverse operation of the Radial Basis Function, these compressed data can be reconstructed with high accuracy.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.5 no.6
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• pp.64-71
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• 2002

This study aimed to provide data for establishment of resource management system of Iriomote Island in Okinawa Japan. Nature resource management system of Iriomote Island can be categorized into eight stages which are equivalent to regional development stages. 1) Networking among local people, tourists, researchers, tour operators and government authorities enhanced collection of resource data. 2) On the early stage, resource data were available only to researchers and government authorities. From the third stage of this system, however, local people were also involved in resource investigation, so they became to well recognize the values of their local resources. 3) On the sixth stage, data on unfamiliar local resources and attractions became to be known to people by real-time data collection and data provision services. The tourist number gradually increased and their visitation patterns were dispersed into different sites and seasons. In addition, some tourists also participated in resource investigation and they were likely to visit the place again. 4) To achieve successful ecotourism development, it is necessary to establish a management system with a feed-back process to identify, evaluate, use and protect the resources.

• The Journal of Bigdata
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• v.1 no.2
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• pp.91-102
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• 2016

In traditional environments we have called the data life cycle DIKW, which represents data-information-knowledge-wisdom. In big data environments, on the other hand, we call it DIA, which represents data-insight-action. The difference between the two data life cycles results in new architecture of data resource management. In this paper, we study data resource management architecture for big data environments. Especially main components of the architecture are proposed in this paper.

• Journal of the Korean Home Economics Association
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• v.42 no.9
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• pp.67-83
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• 2004

The purpose of this study were, (1) to analyze the effect of the selected variables on urban housewives' family resource management attitude and behavior, and (2) to identify the casual effects of variables on family resource management behavior. A sample of 641 was selected from housewives living in urban area. For data analysis, one-way ANOVA, DMR test, t-test, multiple regression, and path analysis were used. The major findings were as follows: 1. The housewives' family resource management behavior level was lower than their attitude level. 2. The family resource management attitude and behavior among the respondents were affected by the following independent variables : interest with environmental reports and newspapers, perception of time constraints, perception of economic reward. 3. The family resource management attitude had the greatest causal effect on the family resource management behavior.

• Asia-Pacific Journal of Business
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• v.13 no.1
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• pp.53-74
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• 2022

Purpose - This study aims to examine the relationship between flexible Human Resource Management (HRM) and individual ambidexterity and the moderating effect of trust in management. Design/methodology/approach - This study collected 971 survey data from employees in Korea. The Confimatory Factor Analysis (CFA) and the multiple regression analysis were used to analyze the data. Findings - First, the flexible human resource management have a positive effect on individual ambidexterity. Second, trust in management positively moderate the relationship between flexible human resource management and individual ambidexterity. Research implications or Originality - First, this study is critical that it examines individual ambidexterity and antecedent factor, which have not been relatively researched in Korea. This study is meaningful in that it revealed that the individual ambidexterity can be increased through flexible human resource management. Second, individual ambidexterity may vary depending on the characteristics of the human resource management system. Third, it is important to find the boundary condition of trust in management. By finding conditions that enhance the effect of flexible human resource management on individual ambidexterity, it also provides practical implications applicable to companies.

• Journal of Families and Better Life
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• v.20 no.1
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• pp.17-31
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• 2002

The purpose of this study is to investigate the effects of home informatization on the family resource management. For this purpose we analyze the level of home informatization focused on the Internet use and it's effects on the family resource management through time management and financial management. Data were collected from 582 housewives who use the Internet at home. The results show that home informatization through the Internet use has changed family resource management totally. It contributes to improve planning and efficiency of resource management, but simultaneously it causes the imbalance of resource management. And the Internet use of housewives also affects time allocation and household expenditure. These changes depend on socio-demographics variables, home informatization related variables, and personal resource variables. The results show that the ability to manage time and finance have much more importance to improve the level of planning and efficiency and to decrease the level of imbalance in managerial subsystem. The results of this research suggest several implications for public policy.

• Journal of Family Resource Management and Policy Review
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• v.13 no.3
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• pp.207-226
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• 2009

The purposes of this study are to evaluate the research trends of articles published in the Journal of the Korean Family Resource Management Association from 1997 to 2008, and to identify the contributions as well as the inherent limitations of these articles in the field of family resource management. For these purposes, this study analyzed 3 types of research trends: research topic, research method including data analysis, and research subject. The findings of this study are as follows. First of all, the study shows that most number of researches are conducted on management subjects, followed by management practice and management theory. Secondly, regarding the frequency of the research method, the empirical researches are the most prevalent method employed by the researches, over literature or practice researches. Thirdly, it is noted there are more quantitative researches than qualitative ones. Finally, there are a lot more researches carried out on the traditional household than those of vulnerable households.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.433-435
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• 2022

In this paper, we introduce a computing resource standard metadata schema design plan for registering, retrieving, and managing computing resources used for research data analysis and utilization in the Korea Research Data Commons(KRDC). KRDC is a joint utilization system of research data and computing resources to maximize the sharing and utilization of research data. Computing resources refer to all resources in the computing environment, such as analysis infrastructure and analysis software, necessary to analyze and utilize research data used in the entire research process. The standard metadata schema for KRDC computing resource management is designed by considering common attributes for computing resource management and other attributes according to each computing resource feature. The standard metadata schema for computing resource management consists of a computing resource metadata schema and a computing resource provider metadata schema. In addition, the metadata schema of computing resources and providers was designed as a service schema and a system schema group according to their characteristics. The standard metadata schema designed in this paper is used for computing resource registration, retrieval, management, and workflow services for computing resource providers and computing resource users through the KRDC web service, and is designed in a scalable form for various computing resource links.