• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.12
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• pp.5701-5722
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• 2018

The continuous increase in the cost of energy production and concerns for environmental sustainability are leading research communities, governments and industries to amass efforts to reduce energy consumption and global $CO_2$ footprint. Players in the information and communication industry are keen on reducing the operational expenditures (OpEx) and maintaining the profitability of cellular networks. Meanwhile, network virtualization has been proposed in this regard as the main enabler for 5G mobile cellular networks. In this paper, we propose a generic framework of slice resource provisioning and customized physical resource allocation for energy-efficiency and quality of service optimization. In resource slicing, we consider user demand and population resources provisioning scheme aiming to satisfy quality of service (QoS). In customized physical resource allocation, we formulate this problem with an integer non-linear programming model, which is solved by a heuristic algorithm based on minimum vertex coverage. The proposed algorithm is compared with the existing approaches, without consideration of slice resource constraints via system-level simulations. From the perspective of infrastructure providers, traffic is scheduled over a limited number of active small-cell base stations (sc-BSs) that significantly reduce the system energy consumption and improve the system's spectral efficiency. From the perspective of virtual network operators and mobile users, the proposed approach can guarantee QoS for mobile users and improve user satisfaction.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06a
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• pp.361-364
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• 2011

Nowadays, an explosive increase of mobile devices has triggered a lot of research into radio resource management. Therefore, many studies have been done and still underway to use this limited resource efficiently. However, most of the existing studies focused on efficiency in mac layer. In this paper, I proposed a timer to manage radio resource, which refreshes the timer's values based on the number of connections dynamically. This dynamic timer enables Base Station (BS) to be able to manage available radio resources efficiently and accommodate much more Mobile Stations (MSs). Simulation result showed that BS with dynamic timer could accommodate the MS about 30% more, compared with BS with a static timer in terms of radio resource management. Dynamic timer is not restricted to any specific network standard. So its mechanism is practical and implementable without changing the original standard, which can contribute to service providers by increasing capability that BS can support.

• 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.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.8
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• pp.2774-2796
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• 2015

Quality-of-service (QoS) provisioning for a cognitive mesh network (CMN) with heterogeneous services has become a challenging area of research in recent days. Considering both real-time (RT) and non-real-time (NRT) traffic in a multihop CMN, [1] studied cross-layer resource management, including joint access control, route selection, and resource allocation. Due to the complexity of the formulated resource allocation problems, which are mixed-integer non-linear programming, a low-complexity yet efficient algorithm was proposed there to approximately solve the formulated optimization problems. In contrast, in this work, we present an application of genetic algorithm (GA) to re-address the hard resource allocation problems studied in [1]. Novel initialization, selection, crossover, and mutation operations are designed such that solutions with enough randomness can be generated and converge with as less number of attempts as possible, thus improving the efficiency of the algorithm effectively. Simulation results show the effectiveness of the newly proposed GA-based algorithm. Furthermore, by comparing the performance of the newly proposed algorithm with the one proposed in [1], more insights have been obtained in terms of the tradeoff among QoS provisioning for RT traffic, throughput maximization for NRT traffic, and time complexity of an algorithm for resource allocation in a multihop network such as CMN.

• Journal of Information Processing Systems
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• v.8 no.4
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• pp.555-566
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• 2012

The cloud environment makes it possible to analyze large data sets in a scalable computing infrastructure. In the bioinformatics field, the applications are composed of the complex workflow tasks, which require huge data storage as well as a computing-intensive parallel workload. Many approaches have been introduced in distributed solutions. However, they focus on static resource provisioning with a batch-processing scheme in a local computing farm and data storage. In the case of a large-scale workflow system, it is inevitable and valuable to outsource the entire or a part of their tasks to public clouds for reducing resource costs. The problems, however, occurred at the transfer time for huge dataset as well as there being an unbalanced completion time of different problem sizes. In this paper, we propose an adaptive resource-provisioning scheme that includes run-time data distribution and collection services for hiding the data transfer time. The proposed adaptive resource-provisioning scheme optimizes the allocation ratio of computing elements to the different datasets in order to minimize the total makespan under resource constraints. We conducted the experiments with a well-known sequence alignment algorithm and the results showed that the proposed scheme is efficient for the cloud environment.

• Journal of the Korean Association of Geographic Information Studies
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• v.15 no.3
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• pp.148-157
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• 2012

Recently, people are getting more interested in green energy resource and environment friendly energy resource due to the lack of energy and global warming. This study produced a solar energy resource map using LiDAR(Light Detection And Ranging) data to check if it is utilized for spatial information technology and solar energy sectors that people pay more attentions to as new recycling energy. This study assigned Ulleungdo(Island) located in Gyeongsangbuk-do as a target area. This study created the contour line with 1 meter by newly photographing LiDAR and data processing. And using this contour line, this study built DEM(Digital Elevation Model) data with 1 meter. The incidence range depending on the altitude and azimuth of sun using DEM data is used to evaluate solar energy resource. This is expected to suggest an accurate method to evaluate more reliable and more precise information of new recycling energy resource by producing solar energy resource map based on accurate and precise spatial resolution data with 1 meter level.

• Information Systems Review
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• v.10 no.3
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• pp.111-132
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• 2008

Although there are many processes in which factors interact with each other during enterprise resource planning(ERP) implementation, factors affecting ERP implementation have been investigated in an isolated way. In order to bridge the gap, this study attempts to provide a research model to explain how these factors affect ERP implementation success from a holistic perspective. In particular, this research focuses on how bundling and leveraging processes affect ERP implementation success using resource based theory, a strategy formulation framework, and a dynamic resource management model of value creation. The model amalgamates organizational resources and capabilities via the bundling and leveraging processes to identify the effect on ERP implementation success. This paper validates the proposed model by presenting Australian aviation industry case study. Case findings will be in help to reveal the effect of resource bundling in establishing capabilities and effect of capabilities leveraging in deriving the ERP implementation success.

• Journal of Korean Library and Information Science Society
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• v.44 no.4
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• pp.145-175
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• 2013

The purpose of this research lies in exploring both problems in and solutions for developing digital information resource such as e-journal and Web databases, with the case of Korean national university libraries. In details, identified at the first hand is current situations and major changes of digital information resource that Korean university libraries have developed for the recent 10 years(2003~2012). Also investigated is the salient features in the process of selecting and acquiring digital information resource, with emphasis on the work behavioral aspects. In addition this study analyzes the negative impacts which the present digital-centered resource development policy might have on the image of university libraries and the status of academic librarianship in Korea. The final suggestions include both strategies at the national level and practical methods at the library level which might be helpful to escape from the dilemma related to developing digital information resource.

• Culinary science and hospitality research
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• v.1
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• pp.5-23
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• 1995

Management of kitchen is consist of various management factor, for instance, physical resources, financial resources, information resources, and human resources. Because these kind of resources determine efficiency of kitchen management, human resource management is important aspect of kitchen operation. In this paper of view, recently human resource management has been considered by kitchen manager. Kitchen Managers who are interested in human resource, focus on efficiency. Also human resource management underlined not only efficiency, but interrelationship of emplyee. Today, considering with the environment of management, operation of kitchen is important section on hotel management in relation to the profit of it. In the future, therefore kitchen will be strategic profit center on hotels. According to in this tendency, as profit business center kitchen assumed a aspect of efficiency mechanism. This thesis aimcs to point out the actual status of human resource management in the hotels, and suggests the improvement there of by analyzing the system. This research is organized into five sections. section one introduces its objectives. scope and mothodology. Section two provides the theory of human resource management on the kitchen of hotels. And section these analyzed about the factors of human resource management. Section four, suggests the alternatives of the improvement on human resource management, section Five describes the conclusion of this thesis. Today, importance of human resource is viewed multipoint aspects in relation to efficiency of organization and interrelationship of employee, especially the arrangement of human resource is fairly handle and allocation of the human resource and personal appraisal. On the other hand, human resource managers have to be responsible for the cost control and customer's attraction by developing human resources. In order to advance human resource management on kitchen of hotels, following alternatives are considered with efficiency of management and interrelation of employee. The first, the manager of hotels has to consider the passive support of development of human resource. The second, the manager of hotels should develop the various training program for the extonsive ability of employee. The third, in order to improvement of human resource management, manager should establish the system for human resource management view of efficiency and employee's interrelationship.

• The Journal of Engineering Research
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• v.3 no.1
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• pp.117-121
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• 1998

This paper describes a model suitable for real-time languages, which explicitly defines a set of resource objects. The resource objects are constituted in a specialization hierarchy which allows programmers to perform resource handling at any desired level of detail, as well as providing a uniform interface. This object-oriented model is used to extend the applicability of the imprecise computation approach to deal with shortfalls of any computational resource, and enable to build real-time systems which can handle dynamic situations.