• Proceedings of the Korea Information Processing Society Conference
• /
• 2014.11a
• /
• pp.576-578
• /
• 2014

하나의 시스템을 다수의 사용자가 사용하는 경우 한정된 시스템의 자원을 효율적으로 배분하기 위하여 작업관리 시스템을 사용한다. 이러한 작업관리 시스템은 여러가지 종류가 있으며 시스템의 특성과 사용의 작업 패턴을 고려하여 적당한 작업관리 시스템을 선택하여 사용한다. IBM 시스템은 자체로 제공하는 작업관리 시스템인 LoadLeveler 주로 사용하고 있으며, 최근에는 몇가지 기능이 향상된 LSF를 이용하는 추세이기도 하다. 작업관리 시스템의 LoadLeveler에서는 CPU 수에 따라서 작업 우선 순위를 부여하고자 할 때 이러한 기능을 할 수 있는 환경 변수가 제공되지 않는데, 이러한 LoadLeveler의 환경에서 시스템의 환경파일에 스크립트 프로그램으로 이러한 기능을 구현하여 CPU 수에 따른 작업 우선순위를 적용함으로서 시스템 전체의 처리 효율을 향상 할 수 있게 하였다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2007.05a
• /
• pp.1431-1434
• /
• 2007

시스템의 한정된 자원을 다수의 사용자들이 프로그램 실행 시 자원을 효율적으로 배분하기 위하여 작업관리 시스템을 이용한다. IBM 시스템은 작업관리 시스템으로서 주로 LoadLeveler를 사용한다. LoadLeveler에서의 메모리 관리는 WLM(Workload Manager)에서 설정하며, WLM의 환경 설정에 따라 작업의 실행에 많은 영향을 받는다. 본 논문에서는 WLM의 환경 설정에 의한 LoadLeveler에서의 작업을 실행하면서 메모리 변화와 실행 시간을 측정하고 분석하였다. 따라서 시스템의 특성과 사용자 작업에 알맞은 최적의 WLM 환경을 적용함으로써 시스템의 안정성을 유지하고 전체 작업처리 효율을 증가시켰다.

• Proceedings of the IEEK Conference
• /
• 1998.10a
• /
• pp.483-486
• /
• 1998

In parallel system, the execution times of tasks cannot be accurately estimated and tasks may arrive at any time. In case, processors are overweighted with workload, the system utilization deteriorates. To solve this problem, dynamic load balancing that rearranges tasks in overloaded processors is required. We prospose the improved dynamic load balancing algorithm for $\textsc{k}-ary$ n-cubes using the property of ring and MWA which is the dynamic load balancing one for mesh. The proposed algorithm which uses the global load information has less communication cost than GDE, DDE and load difference within 1.

• Proceedings of the Korean Information Science Society Conference
• /
• 1998.10a
• /
• pp.169-171
• /
• 1998

본 논문에서는 성능이 서로 다른 워크스테이션들을 효과적으로 사용하기 위한 동적인 Load Balancing 방식을 제안한다. 각 워크스테이션의 수행시간에 따라서 load 의양이 결정되며 각 워크스테이션의 성능을 사전에 알아야 할 필요가 없는 방식이다. 이를 Ethernet으로 연결된 두 개의 워크스테이션에서 실험하여 그 성능을 비교 평가한다.

• Educational Technology International
• /
• v.20 no.2
• /
• pp.137-168
• /
• 2019

This study examined the effects of information volume and distribution on learners' cognitive load and recall in a mobile augmented reality (AR) environment. Information volume refers to the degree of information users are provided in a learning task, while information distribution indicates the way in which information is distributed, either in a virtual or real format. Sixteen undergraduate students participated in the study, which employed a 2 × 3 randomized block factorial design with repeated measures. Information volume and distribution were independent variables, and factors in learners' cognitive load (mental effort, perceived ease of use, and perceived task difficulty) and recall test scores were the dependent variables. Information volume had significant main effects on perceived ease of use and task difficulty, and recall test scores, while information distribution had significant main effects on perceived task difficulty and test scores. A detailed discussion and implications are provided.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.17 no.9
• /
• pp.2419-2435
• /
• 2023

Command and control networks(C2N) exhibit evident multi-network interdependencies owing to their complex hierarchical associations, interleaved communication links, and dynamic network changes. However, the existing command and control networks do not consider the effects of dependent nodes on the load distribution. Thus, we proposed a command and control networks load allocation strategy based on interdependence strength. First, a new measure of interdependence strength was proposed based on the edge betweenness, which was followed by proposing the inter-layer load allocation strategy based on the interdependence strength. Eventually, the simulation experiments of the aforementioned strategy were designed to analyze the network invulnerability with different initial load capacity parameters, allocation model parameters, and allocation strategies. The simulation indicates that the strategy proposed in this study improved the node survival rate of the interdependent command and control networks model and successfully prevented cascade failures.

• The Transactions of the Korean Institute of Electrical Engineers A
• /
• v.53 no.8
• /
• pp.466-471
• /
• 2004

Electricity industries throughout the world are undergoing unprecedented changes. As a result, these changes lead to the separation of traditional integrated utilities and the introduction of competition in order that increase efficiency in electricity industry. Direct load control (DLC) system in competitive electricity market has a hierarchical interactive operation system, therefore, its control logic is also applied by bilateral interactive method that interchanges information related to interruptible load between operation hierarchies. Consequently, load curtailment allocation algorithm appropriate for new DLC system is required, and based on interchanged information, this algorithm should be implemented by most efficient way for each operation hierarchy. In this paper, we develop the load curtailment allocation algorithm in an emergency for new DLC system. Especially, the optimal algorithm for load aggregator (LA) that participates in competitive electricity market as a main operator for load management is developed.

• Proceedings of the KIEE Conference
• /
• 2001.11c
• /
• pp.61-64
• /
• 2001

The electric power load during the peak time in summer is strongly affected by cooling load. which decreases the preparation ratio of electricity and brings about the failure in the supply of electricity in the electric power system. The ice-storage system and heat pump system etc are used to settle this problem. In this study, the method of estimating temperature and humidity to forecast the cooling load of ice-storage system is suggested. And also the method of forecasting the cooling load using neural network is suggested. For the simulation, the cooling load is calculated using actual temperature and humidity. The forecast of the temperature, humidity and cooling load are simulated. As a result of the simulation, the forecasted data approached to the actual data.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.65 no.1
• /
• pp.16-22
• /
• 2016

This paper addresses the load usage scheduling in the HEMS for residential power consumers. The HEMS would lead the residential users to change their power usage, so as to minimize the cost in response to external information such as a time-varying electricity price, the outside temperature. However, there may be a consumer's inconvenience in the change of the power usage. In order to improve this, it is required to understand the pattern of load usage according to the external information. Therefore, this paper suggests a methodology to model the load usage pattern, which classifies home appliances according to external information affecting the load usage and models the usage pattern for each appliance based on a copula function representing the correlation between variables. The modeled pattern would be reflected as a constraint condition for an optimal load usage scheduling problem in HEMS. To explain an application of the methodology, a case study is performed on an electrical water heater (EWH) and an optimal load usage scheduling for EHW is performed based on the branch-and-bound method. From the case study, it is shown that the load usage pattern can contribute to an efficient power consumption.

• Journal of Electrical Engineering and Technology
• /
• v.5 no.2
• /
• pp.307-318
• /
• 2010

In this work, an accurate analysis of low frequency current ripple in residential fuel cell power generation systems is performed based on the proposed residential load model and its unique operation algorithm. Rather than using a constant dc voltage source, a proton exchange membrane fuel cell (PEMFC) model is implemented in this research so that a system-level analysis considering the fuel cell stack, power conditioning system (PCS), and the actual load is possible. Using the attained results, a comparative study regarding the discrepancies of low frequency current ripple between a simple resistor load and a realistic residential load is performed. The data indicate that the low frequency current ripple of the proposed residential load model is increased by more than a factor of two when compared to the low frequency current ripple of a simple resistor load under identical conditions. Theoretical analysis, simulation data, and experimental results are provided, along with a model of the load usage pattern of low frequency current ripples.