• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권7호
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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.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권1호
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• pp.186-205
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• 2019

Intercell interference coordination (ICIC) is considered as a promising technique to increase the spectral efficiency of OFDMA cellular systems. The soft frequency reuse (SFR) and fractional frequency reuse (FFR) are representative and efficient management techniques for ICIC. Herein, to enhance the performance of the SFR scheme, we propose a call admission (CAC) scheme. In this CAC scheme, called Spectrum handoff-SFR(S-SFR), the spectrum handoff technique is applied to the user equipment (UE) located near the cell center. We derive the traffic analysis model to describe the S-SFR. In addition, a two-dimensional (2-D) Markov chain and an outage analysis are used in our analytical model. From the traffic analysis, the significant performance measures are the outage probability, call blocking probability, system throughput and resource utilization. Based on those, the outage probability and system throughput are obtained using resource utilization as an interference pattern. The analytical results are verified with computer simulation results. Finally, we compare our proposed scheme with other ICI schemes.

• 컴퓨터교육학회논문지
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• 제8권3호
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• pp.29-42
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• 2005

지식정보사회에서 컴퓨터교육의 필요성 및 중요성은 계속 강조되고 있다. 그러나 현재의 초등학교 컴퓨터 교육은 컴퓨터활용만을 위주로 전개되고 있는 형편이다. 그러나 응용 SW의 기능 습득을 통한 기계적 사무 처리 능력 향상이나 교육용 SW의 단순한 활용 측면의 접근용 지식정보사회의 요구에 부응하기 어렵다. 그러므로 이제는 창의적이고 논리적인 사고를 바탕으로 계속적으로 변화, 발전하는 지식정보사회의 사회적, 문화적인 환경을 이해하여 새로운 가치를 창조하고 지식을 형성하기 위한 본질적인 과학으로서의 컴퓨터교육이 필요한 시기라 여겨진다. 따라서 본 논문에서는 현 컴퓨터 교육의 문제점을 토대로 초등컴퓨터교육과정 변화의 필요성을 제시하고, 지식정보사회에서의 초등학교 컴퓨터 교육과정의 변화 방향에 대한 현장 교사들의 의견을 조사하였다. 또한 현재 초등학교 컴퓨터교육과정을 ACM과 미국 노스캐롤라나주, 캘리포니아주의 초등학교 컴퓨터교육과정을 중심으로 비교 분석 하여 초등학생을 위한 컴퓨터교육과정을 제시하였다.

• 식품산업과 영양
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• 제4권1호
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• pp.50-58
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• 1999

• 동서간호학연구지
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• 제15권2호
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• pp.63-70
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• 2009

Purpose: The purpose of this study was to evaluate hospital service utilization by the types of hospitals in Type I Medicaid claims frequently cited by elderly beneficiaries. Methods: Three frequently claimed inpatient diseases were selected: cerebral infarction, hypertension and diabetes mellitus. Relevant data were collected for the year 2008 from the computer database of the National Health Insurance Corporation. The data was analyzed using SPSS by descriptive statistics, ANOVA and coefficient of variation. Results: The coefficient of variance of hospitalization per episode was higher than daily hospital expenditure among hospitals for all three diseases. The coefficient of variance of hospitalization per episode was highest for cerebral infarction. The coefficient of variation of hospital expenditure per hospital day was highest for hypertension. Conclusions: Evaluating of the volume and pattern of hospital service utilization and the appropriateness for hospital admission for Type-I Medicaid elderly beneficiaries is important for Medicaid-based case management.

• 공학논문집
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• 제2권1호
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• pp.95-102
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• 1997

본 논문은 랜덤 억세스 LAN 프로토콜인 DMSA 시스템에서 스테이션 분포형태의 효과에 대하여 분석한다. 몬테카를로 시뮬레이션기법을 이용하여 몇가지 스테이션 분포 형태에 대하여 각 스테이션의 utilization을 평가한다. 또한, 스테이션의 숫자가 시스템의 utilization-delay 성능에 미치는 효과를 분석한다.

• 한국컴퓨터정보학회논문지
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• 제24권11호
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• pp.187-193
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• 2019

본 연구는 국제합작사업 기업들을 대상으로 합작사업 참여기업 간 지식공유 및 활용이 참여자간 특성과 합작 성과에 어떠한 영향을 주는지를 살펴보고자 하였다. 본 연구에서는 국제합작사업의 지식공유 및 활용이 국제합작사업 참여기업 간 특성인 참여기업 간 계약준수, 사업 참여 동기 및 의지, 경영 자율성, 조직문화들과 합작성과에 어떠한 유의한 영향을 미치며 또한, 국제합작사업 기업들만이 가지는 특징을 실증분석을 통하여 알아보고자 하였다. 실증분석결과 지식공유 및 활용은 계약준수, 경영자율성, 사업 참여 동기 및 의지, 조직문화에 긍정적인 영향을 주며, 계약준수, 경영자율성, 사업 참여 동기 및 의지는 합작성과에 긍정적인 영향을 미치는 것으로 나타났다.

• International Journal of Computer Science & Network Security
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• 제22권10호
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• pp.113-130
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• 2022

Sophisticated automation-based electronics world, more electrical and electronic devices are being used by people from different regions across the universe. Different manufacturers and vendors develop and market a wide variety of power generation and utilization devices under different operating parameters and conditions. People use a variety of appliances which use electrical energy as power source. These appliances or gadgets utilize the generated energy in different ratios. Night time the utilization will be less when compared with day time utilization of power. In industrial areas especially mechanical industries or Heavy machinery usage regions power utilization will be a diverse at different time intervals and it vary dynamically. This always causes a fluctuation in the grid lines because of the random and intermittent use of these apparatus while the power generating apparatus is made to operate to provide a steady output. Hence it necessitates designing and developing a method to optimize the power generated and the power utilized. Lot of methodologies has been proposed in the recent years for effective optimization and economical load dispatch. One such technique based on intelligent and evolutionary based is Black Widow Optimization BWO. To enhance the optimization level BWO is hybridized. In this research BWO based optimize the load for multi area is proposed to optimize the cost function. A three type of system was compared for economic loads of 16, 40, and 120 units. In this research work, BWO is used to improve the convergence rate and is proven statistically best in comparison to other algorithms such as HSLSO, CGBABC, SFS, ISFS. Also, BWO algorithm best optimize the cost parameter so that dynamically the load and the cost can be controlled simultaneously and hence effectively the generated power is maximum utilized at different time intervals with different load capacity in different regions of utilization.

• ETRI Journal
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• 제37권4호
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• pp.657-666
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• 2015

We propose a two-stage resource allocation algorithm for the high link utilization of an orthogonal frequency-division multiplexing passive optical network (OFDM-PON). An OFDM-PON is assumed to use a synchronous frame structure in supporting service differentiation. In distributing resources, the proposed algorithm first allocates a time window for each optical network unit (ONU), and then it arranges a subchannel, which is a group of subcarriers. This algorithm needs to satisfy two constraints. First, computations for the resource allocation should be done using a frame unit. Second, an ONU has to use a single subchannel to send upstream data for multiple services within a frame duration. We show through a computer simulation that the proposed algorithm improves the link utilization.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2020년도 제62차 하계학술대회논문집 28권2호
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• pp.387-388
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• 2020

As the utilization of microservice architectural style in diverse applications are increasing, the microservice deployment cost became a concern for many companies. We propose an approach to reduce the deployment cost by generating an algorithm which minimizes the cost of basic operation of a physical machine and the cost of resources assigned to a physical machine. This algorithm will produce optimal resource allocation and deployment location based on genetic algorithm process.