• Journal of Information Processing Systems
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• v.15 no.5
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• pp.1192-1200
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• 2019

Recently, artificial intelligence techniques have been widely used in the computer science field, such as the Internet of Things, big data, cloud computing, and mobile computing. In particular, resource management is of utmost importance for maintaining the quality of services, service-level agreements, and the availability of the system. In this paper, we review and analyze various ways to meet the requirements of cloud resource management based on artificial intelligence. We divide cloud resource management techniques based on artificial intelligence into three categories: fog computing systems, edge-cloud systems, and intelligent cloud computing systems. The aim of the paper is to propose an intelligent resource management scheme that manages mobile resources by monitoring devices' statuses and predicting their future stability based on one of the artificial intelligence techniques. We explore how our proposed resource management scheme can be extended to various cloud-based systems.

• Journal of Information Management
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• v.26 no.1
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• pp.52-79
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• 1995

The objective of this study is to apply Information Resource Management(IRM) methodology to corporate library and information units. The focus of the study fixes how to start, develop and establish IRM in corporations. The methodology of IRM is based on the way of integrating information contents and systems by information technology. The body of this study consists of three parts. Part 1 surveys the review of IRM progress, its definitions, its components, IRM policy, and IRM human resource. Part 2 suggests a modeling for IRM methodology, which includes the inventory for pinpointing each information resource entity(IRE), the analysis of information needs, the measuring cost of IRE, and the evaluation of information value. Part 3 investigates internal and external information resources of certain corporations and analyses the users' information needs.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.5 no.12
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• pp.2294-2314
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• 2011

The key issue in providing fast and reliable access on cloud services is the effective management of resources in a cloud system. However, the high variation in cloud service access rates affects the system performance considerably when there are no default routines to handle this type of occurrence. Adaptive techniques are used in resource management to support robust systems and maintain well-balanced loads within the servers. This paper presents an adaptive resource management for cloud systems which supports the integration of intelligent methods to promote quality of service (QoS) in provisioning of cloud services. A technique of dynamically assigning cloud services to a group of cloud servers is proposed for the adaptive resource management. Initially, cloud services are collected based on the excess cloud services load and then these are deployed to the assigned cloud servers. The assignment function uses the proposed proportional ordering which efficiently assigns cloud services based on its resource consumption. The difference in resource consumption rate in all nodes is analyzed periodically which decides the execution of service assignment. Performance evaluation showed that the proposed dynamic service assignment (DSA) performed best in throughput performance compared to other resource allocation algorithms.

• Journal of the Korean Society for information Management
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• v.29 no.3
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• pp.7-29
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• 2012

In this study, we analyzed the effects of how Human resource management affects the knowledge sharing that facilitates organizational performance. Human resource management has received very little attention in the study of knowledge management. However, main drivers of knowledge activities are individual members of an organization and thus knowledge management strategies should be discussed in relation with human resource management. The results show that human resource management was significantly positively related to knowledge sharing, and the relationship between human resource management and organizational performance was partially mediated by knowledge sharing. Lessons and implications of this study for management leadership are presented.

• Asia pacific journal of information systems
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• v.10 no.4
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• pp.77-100
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• 2000

Information technology(IT) has become the fourth major resource available to executives to shape and operate government and public organizations. Government and public organizations have managed the other three major resources for years : people, money, and machine. But today IT accounts for more than 10 % of the budget spent in the Korean government and public organizations. From an information resource management point of view, therefore, data and information, hardware and software, telecommunications networks, information systems personnel and other factors are valuable resources that should be managed for the benefit of the entire organization. This paper studied on the model of information resource management(IRM) architecture for government and public organizations and suggested a new generic model for IRM. The model is consisted of four basic architectures and each architecture includes several factors that should be managed for the benefit of the entire government and public organizations.

• Journal of Information Technology Services
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• v.5 no.1
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• pp.129-147
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• 2006

This study analyzed an operational concept for the D Information Resource Management Information System (DIRMIS) to manage any IT resources effectively in defense area. We first deduced the concept of the information resource management (IRM) for defense area from the literature review, and we suggested a guideline, which has used in defense area, of the documentation for the operational concept description (OCD). Moreover, we developed the operational concept for the DIRMIS following the guideline. Especially, this study is a practical approach for suggesting of a case, and the share of accumulated cases will contribute to advance in System Integration (SI) industry as well as academic research.

• Journal of the Korean Society for Library and Information Science
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• v.40 no.3
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• pp.263-287
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• 2006

With the rapid and broad changes of information media and information environment the traditional libraries have been evolving into the digital libraries. An analysis for the Planning and realization of the electronic resource management system was carried out to establish the various electronic resources in the digital library, the first in Korea. The study targeted from electronic journals, web-based databases, e-books, and to open access resources. The focus of the analysis lies in the Providing practical integrated electronic resource management for digital librarian based on the framework of effective Electronic Resource Management Initiative(ERMI) of Digital Library Federation(DLF) with network and electronic resource description. The analyses included life-cycle, subscription models, coverages. types of information provider for electronic resources. and system organization for implementation of electronic resource management system.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.9
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• pp.4280-4300
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• 2017

The fact that cloud computing services have been proposed in recent years, organizations and individuals face with various challenges and problems such as how to migrate applications and software platforms into cloud or how to ensure security of migrated applications. This study reviews the current challenges and open issues in cloud computing, with the focus on autonomic resource management especially in federated clouds. In addition, this study provides recommendations and research roadmaps for scientific activities, as well as potential improvements in federated cloud computing. This survey study covers results achieved through 190 literatures including books, journal and conference papers, industrial reports, forums, and project reports. A solution is proposed for autonomic resource management in the federated clouds, using machine learning and statistical analysis in order to provide better and efficient resource management.

• Resources Recycling
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• v.24 no.2
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• pp.69-78
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• 2015

Recently, the importance of efficient resource management has been highlighted due to the uncertainty of its security. Developed countries promote the legislative provision and transition of industrial structure to maximize the efficiency of resource use through supporting the sustainable resource management at national level. Meanwhile Korea has very sensitive industrial structure along with the international resource supply and demand conditions. It is acutely necessary to improve the resource productivity with the various action plans such as the increase of recycling rate and the establishment of methodical resource management system. Especially, the study on the direction of each flow stage and the concrete action plans for using resource efficiently in the life-cycle of resource will be required. Therefore, this study suggests the future direction of each flow stage(production stage and circulatory stage), and the concrete action plans to improve the present problems of resource management in Korea.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.7
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• pp.2815-2839
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• 2020

In a cloud computing paradigm, allocation of various virtualized ICT resources is a complex problem due to the presence of heterogeneous application (MapReduce, content delivery and networks web applications) workloads having contentious allocation requirements in terms of ICT resource capacities (resource utilization, execution time, response time, etc.). This task of resource allocation becomes more challenging due to finite available resources and increasing consumer demands. Therefore, many unique models and techniques have been proposed to allocate resources efficiently. However, there is no published research available in this domain that clearly address this research problem and provides research taxonomy for classification of resource allocation techniques including strategic, target resources, optimization, scheduling and power. Hence, the main aim of this paper is to identify open challenges faced by the cloud service provider related to allocation of resource such as servers, storage and networks in cloud computing. More than 70 articles, between year 2007 and 2020, related to resource allocation in cloud computing have been shortlisted through a structured mechanism and are reviewed under clearly defined objectives. Lastly, the evolution of research in resource allocation techniques has also been discussed along with salient future directions in this area.