• KIPS Transactions on Computer and Communication Systems
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• v.10 no.5
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• pp.123-136
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• 2021

RPC (Remote Procedure Call)-based Graphics Processing Unit (GPU) virtualization technology is one of the technologies for sharing GPUs with multiple user virtual machines. However, in a cloud environment, unlike CPU or memory, general GPUs do not provide a resource isolation technology that can limit the resource usage of virtual machines. In particular, in an RPC-based virtualization environment, since GPU tasks executed in each virtual machine are performed in the form of multi-process, the lack of resource isolation technology causes performance degradation due to resource competition. In addition, the GPU memory competition accelerates the performance degradation as the resource demand of the virtual machines increases, and the fairness decreases because it cannot guarantee equal performance between virtual machines. This paper, in the RPC-based GPU virtualization environment, analyzes the performance degradation problem caused by resource contention when the GPU memory requirement of virtual machines exceeds the available GPU memory capacity and proposes a GPU memory management technique to solve this problem. Also, experiments show that the GPU memory management technique proposed in this paper can improve the performance of GPGPU tasks.

• Proceedings of the Korean Information Science Society Conference
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• 2001.04a
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• pp.208-210
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• 2001

본 논문은 기존에 운영되고 있는 접근 제한을 고려하지 않고 만들었던 웹사이트를 회전 접근 관리가 가능한 웹사이트로 확장하는 방법을 제안한다. 제시하는 방법은 확장에 필요한 모듈들을 컴포넌트 방식으로 추가하여 기존의 사이트의 수정이 필요 없이 회원관리가 가능하도록 한다. 특히 기존의 ACL(Access Control List)에 없는 새로운 방식인 Resource Grouping 방식을 제시하여 좀더 체계적이고 일괄적인 리소스 관리가 가능하게 한다. 이 Resource Grouping 방식은 Simple Resource Grouping, Resource Grouping With Attributes, Resource Grouping with Parameter로 세부 분류되어 소개된다.

• Spatial Information Research
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• v.21 no.3
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• pp.21-30
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• 2013

Recently, interest of submarine mineral resources has been increasing from the depletion of land resources around the world and many countries are involving in submarine mineral resource exploration work. South Korea is also in progress of mineral exploration and relevant study to ensure the submarine mineral resources from around the Korean Peninsula. As a result, the submarine mineral resource exploration data have been increasing annually. A database and 2D GIS-based system have been constructed for the management of the data. However, submarine mineral resource exploration data is explored and created on the sea-bed. Consequently, the visual confirmation of the water levels and marine landform is important for high dimension analysis. Therefore, the major aims of this study are to collect marine landform data from around the Korean Peninsula and to develop 3 dimension GIS based system that is linked to the submarine mineral resource exploration data. In detail, marine landform data were acquired for the Korean Peninsula and they were interpolated into raster file format. The raster file was then processed to be easily used and was entered into an Oracle database. Based on this database, 3D expression and overlap function between marine landform data and submarine mineral resource exploration data were designed using ArcScene offered by the ESRI. After design, 3D GIS based expression system was developed. Confirmations of locations and changes in the submarine mineral resource exploration data based on 3D GIS are enabled to support the efficient application of the proposed system. It is expected that this system will be highly useful for estimating the reserves of mineral resources and for providing valuable information for economic evaluations.

• Journal of the Korean Solar Energy Society
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• v.36 no.1
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• pp.39-47
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• 2016

Geographic information system (GIS) based renewable energy resource map including potential analysis can play a crucial role not only to develop the national plan for renewable energy deployment but also to make strategic investment decision in the private sector. Korea Institute of Energy Research (KIER) has been developing domestic maps about several resources such as solar, wind, hydro, biomass, and geothermal, as well as conducting research on methodologies for potential analysis. Furthermore, the institute is trying to transfer related technologies and know-how to foreign countries, recently. In this context, the main purpose of this study is to introduce the business model of renewable energy resource map. From the value chain analysis, we focus on the government-side market in foreign countries, such as the development of the national level renewable energy resource map and the support of the national renewable energy plan. For about 180 countries, we segment the customers according to the consideration of economic capacity, renewable energy resource capacity, existence of renewable resource map, current portion of renewable energy facility capacity, and renewable energy policies, and we conclude that the target customers are non-Organization for Economic Co-operation and Development (non-OECD) countries or some OECD countries, their per capita GDP are under the average among OECD countries, that do not have renewable resource map yet. We segment the target customers into four groups, and suggest different strategies for market positioning and financing strategy based on Strengths, Weaknesses, Opportunities, Threats (SWOT) analysis. This study can help to develop the business strategy about the development of renewable energy resource map in foreign countries.

• Journal of Advanced Navigation Technology
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• v.11 no.3
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• pp.252-258
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• 2007

There has been a lot of research done in scheme guaranteeing user's mobility and effective resources management to satisfy the requested by users in the wireless/mobile networks. In this paper, we propose a predictive resource allocation scheme based on ARMA(Auto Regressive Moving Average) prediction model to meet QoS requirements(handoff dropping rate) for guaranteeing users' mobility. The proposed scheme predicts the demanded amount of resource in the future time by ARMA time series prediction model, and then reserves it. The ARMA model can be used to take into account the correlation of future handoff resource demands with present and past handoff demands for provision of targeted handoff dropping rate. Simulation results show that the proposed scheme outperforms the existing RCS(Reserved channel scheme) in terms of handoff connection dropping rate and resource utilization.

• Journal of Korean Library and Information Science Society
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• v.43 no.4
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• pp.403-425
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• 2012

This research aims to present a development plan on the Korean diaspora information resource management in a viewpoint document information and archives. This study consists of two aspects : a document investigation based on Korean diaspora and information resource and in a practical examine based on a spot of life, settlement, and movement of overseas. A lot of Korea Diaspora have immigrated to Japan, China and Russia mostly with other people in the political and economic dominant cause. They are produced a various of document information and was formed information resource management and archives in a library, a newspaper office and a publishing company. The result of this research was looked forward to help to R&D of information resource management in values and competencies for Korean diaspora.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.6
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• pp.2282-2303
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• 2021

To solve the problems of heavy computing load and system transmission pressure in energy internet (EI), we establish a three-tier cloud-edge integrated EI network based on a cloud-edge collaborative computing to achieve the tradeoff between energy consumption and the system delay. A joint optimization problem for resource allocation and task offloading in the threetier cloud-edge integrated EI network is formulated to minimize the total system cost under the constraints of the task scheduling binary variables of each sensor node, the maximum uplink transmit power of each sensor node, the limited computation capability of the sensor node and the maximum computation resource of each edge server, which is a Mixed Integer Non-linear Programming (MINLP) problem. To solve the problem, we propose a joint task offloading and resource allocation algorithm (JTOARA), which is decomposed into three subproblems including the uplink transmission power allocation sub-problem, the computation resource allocation sub-problem, and the offloading scheme selection subproblem. Then, the power allocation of each sensor node is achieved by bisection search algorithm, which has a fast convergence. While the computation resource allocation is derived by line optimization method and convex optimization theory. Finally, to achieve the optimal task offloading, we propose a cloud-edge collaborative computation offloading schemes based on game theory and prove the existence of Nash Equilibrium. The simulation results demonstrate that our proposed algorithm can improve output performance as comparing with the conventional algorithms, and its performance is close to the that of the enumerative algorithm.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.11
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• pp.3638-3657
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• 2022

In urban vehicular edge computing (VEC) environments, one edge server always serves many task requests in its coverage which results in the resource-constrained problem. To resolve the problem and improve system utilization, we first design a general hierarchical resource management framework based on typical VEC network structures. Following the framework, a specific interacting protocol is also designed for our decision algorithm. Secondly, a greedy bidding-based multi-hop task scheduling decision algorithm is proposed to realize effective task scheduling in resource-constrained VEC environments. In this algorithm, the goal of maximizing system utility is modeled as an optimization problem with the constraints of task deadlines and available computing resources. Then, an auction mechanism named greedy bidding is used to match task requests to edge servers in the case of multiple hops to maximize the system utility. Simulation results show that our proposal can maximize the number of tasks served in resource constrained VEC networks and improve the system utility.

• Asia pacific journal of information systems
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• v.15 no.4
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• pp.109-133
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• 2005

The purpose of this study is to develop and validate a model of firm's IT capability based on IT resources such as IT infrastructure, IT personnel, and IT routine. To do this, the study defined IT capability as a third-order factor model and identified three conceptual dimensions of IT capability: IT infrastructure flexibility, IT personnel expertise, IT resource management capability, IT resource management capability indicates a capacity generated by IT routines, a new IT resource type identified in this study. The validity of the proposed model is evaluated with 243 firm level data using LISREL. The results of confirmatory factor analysis(CFA) demonstrated that the model is highly reliable and valid. Additionally, it was found that IT routines have a high potential as a new IT resource category.

• Knowledge Management Research
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• v.11 no.2
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• pp.57-73
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• 2010

This research investigated the effect of human resource practices on knowledge sharing. We developed and tested a mediation model of how human resource practices affect shared vision and codes which facilitates knowledge sharing. A field study of the R&D centers in knowledge-intensive industries showed that commitment-based human resource management systems were positively related to shared vision and codes and knowledge sharing, and the relationship between HR practices and knowledge sharing was fully mediated through shared vision and codes. This study contributed to the extant literature pertaining to the antecedents of knowledge sharing through focusing on the role of HR practices and shared vision and codes.