• Title/Summary/Keyword: resource minimization

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The Optimization Mechanism of CPU/GPU Computing Resource for Minimization of Performance Interference and Calculation Efficiency in Volunteer Computing Environment (볼런티어 컴퓨팅 환경에서 성능간섭 최소화와 연산 효율성 증대를 위한 CPU/GPU 컴퓨팅 자원 최적화 기법)

  • Bak, Bong Woo;Song, Chung Geon;Yu, Heon Chang
    • KIPS Transactions on Computer and Communication Systems
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    • v.6 no.12
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    • pp.479-486
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    • 2017
  • Volunteer computing is a new computing paradigm that performs operations on idle resources of many nodes. The operation method of the client application for the execution of the volunteer computing is determined by the setting information of the user. Ideal operation requires optimized settings for system features and operating methods of other applications. In this paper, we analyze the usage ratio of CPU and GPU periodically, and develop a manager that dynamically applies optimized options. Through our proposed mechanism, the performance of the task computing is higher than that of the existing Volunteer Computing, and the performance interference is minimized. It is expected that volunteers will be able to provide higher computing resources for Volunteer Computing Project.

국내 화력발전산업의 연료의 효율적 배분과 CO2 저검규모 추정

  • Lee, Myeong-Heon
    • Environmental and Resource Economics Review
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    • v.21 no.1
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    • pp.3-25
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    • 2012
  • Generally speaking, firms, faced with a regulatory environment, are likely to use more or less inputs than optimal level due to allocative inefficiency of inputs. This paper, first, tests allocative efficiency of fuel inputs and calculates the divergence between the actual and optimal levels of each fuel input conditional on the optimal level of capital stock in Korean thermal power industry. Then, given that each fuel is efficiently allocated. potential reduction of $CO_2$ is estimated over the period 1987~2008. The null hypothesis of allocative efficiency with respect to all fuels is rejected, indicating that thermal power plants fail to attain cost minimization subject do market prices. Allocative efficiency between each pair of fuels is also tested; efficient uses of fuels relative to each other are all rejected. Empirical results indicate that coal and gas are used more and oil is used less than optimal level. On average, more than 10 million tons of $CO_2$ per year could be reduced by achieving allocative efficiency of fuels.

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An analysis on the effects of higher power rates on supply price and power savings for Korean manufacturing sector (산업 전력요금 인상의 공급가격 및 전력수요 절감 효과 분석:국내 제조업 부문을 대상으로)

  • Lee, Myunghun
    • Environmental and Resource Economics Review
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    • v.23 no.1
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    • pp.43-65
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    • 2014
  • In this paper, we test for allocative efficiency of productive inputs including electricity and measure the divergence between the actual and optimal level of electricity for the chemical products, which is a relatively highly electricity-intensive sector in Korean manufacturing industries, by estimating a shadow cost function. Supposing cost minimization subject to market prices was achieved, we derive the price elasticities of demand for each input and simulate the impact of a 10% increase in power rate on its demand and supply price by estimating jointly a cost function with an inverse supply relation. The null hypothesis of allocative efficiency of inputs is rejected over the period 1982-2006. On average, electricity is used more than optimal level by 98% per year. The demand for electricity decreases by 11.4%, and supply price, on average, falls by 0.08%, other things being equal.

Multi-Objective Job Scheduling Model Based on NSGA-II for Grid Computing (그리드 컴퓨팅을 위한 NSGA-II 기반 다목적 작업 스케줄링 모델)

  • Kim, Sol-Ji;Kim, Tae-Ho;Lee, Hong-Chul
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.7
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    • pp.13-23
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    • 2011
  • Grid computing is a new generation computing technology which organizes virtual high-performance computing system by connecting and sharing geographically distributed heterogeneous resources, and performing large-scaled computing operations. In order to maximize the performance of grid computing, job scheduling is essential which allocates jobs to resources effectively. Many studies have been performed which minimize total completion times, etc. However, resource costs are also important, and through the minimization of resource costs, the overall performance of grid computing and economic efficiency will be improved. So in this paper, we propose a multi-objective job scheduling model considering both time and cost. This model derives from the optimal scheduling solution using NSGA-II, which is a multi objective genetic algorithm, and guarantees the effectiveness of the proposed model by executing experiments with those of existing scheduling models such as Min-Min and Max-Min models. Through experiments, we prove that the proposed scheduling model minimizes time and cost more efficiently than existing scheduling models.

Directions for Eco-friendly Utilization and Industrialization of Fishery By-products (수산부산물의 발생·처리 실태 및 산업화 방향)

  • Kim, Dae-Young;Lee, Jung-Sam
    • Journal of Fisheries and Marine Sciences Education
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    • v.27 no.2
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    • pp.566-575
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    • 2015
  • The study aims to identify the generation and treatment of fishery by-products in Korea and suggests future directions and strategies for their eco-friendly utilization and industrialization. First, the study focuses on the identification of the generation and their treatment in Korea since merely few study were conducted and they did not provide enough information regarding the overall generation and treatment at the national level. According to the estimation, Korea generates 800 thousand to 1,200 thousand tones of fishery by-product every year. The fishery by-products generated at large seafood markets and processing facilities are used or processed as fish meal and feed, but those generated from households and small seafood restaurants are currently treated as food waste. In addition, inadequately treated fishery by-products cause various problems such as spoiling urban landscape, creating odor and incubating pest. After identifying the generation and treatment of fishery by-products, the study suggests directions for the formulation of infrastructure for transition into resource circulation society, minimization of dumped waste and their eco-friendly recycling as resources, diversification of recycled goods and development into a high-value added industry. Finally, the study suggests detailed strategies for the directions such as establishment of legal and institutional foundation, separation of fishery by-products from wastes, development of technology tailored for commercialization, introduction of pilot projects for industrialization and cultivation of social enterprises.

Intelligent Allocation of Transporting Resources in Logistics using Genetic Algorithm (유전자 알고리즘을 이용한 물류에서의 지능적 운송 자원 할당)

  • Kim, Ju-Won;Cha, Yeong-Pil;Jeong, Mu-Yeong
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2004.05a
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    • pp.23-26
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    • 2004
  • Recently, most of countries in the world are investing huge amount of capital for the infrastructure of logistics and trying to gain dominating position in logistics. To play the role of important hub in logistics, an efficient, flexible, and fault-tolerant transportation process should be developed. Minimization of transportation cost and timely deliveries in the unpredictable environment are a few of the important issues in logistics. This study suggests a way of transporting goods to destinations at the minimal cost and with the minimal delay by optimally allocating transporting resources. Various attributes in transportation such as due date, priority etc. are also considered. Appropriate transporting resources for each work item is selected by calculating the weighted sum of the cost factor and the delay factor assuming that initial sequences of work items are given. A policy to reallocate transporting resources is also suggested when work items or transporting resources are added or deleted because of accidents or disturbances. This policy provides adaptability to the allocation methodology which enables the system to cope with changing environment by controlling various attributes in transportation. Genetic algorithm is used for this approach.

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Cost minimization modeling considering DR resource availability by DR service provider (수요자원 이용 횟수를 고려한 DR프로그램 운영주체의 비용 최소화 모델링)

  • Yoo, Tae-Hyun;Heo, Jae-Haeng;Kwon, Hun-Gyu;Park, Hyeun-Gon;Park, Jong-Keun
    • Proceedings of the KIEE Conference
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    • 2011.07a
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    • pp.592-593
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    • 2011
  • 수요 반응 프로그램은 크게 인센티브 기반 수요 반응 프로그램과 가격 기반 수요 반응 프로그램으로 나눌 수 있다. 인센티브 기반 수요 반응 프로그램은 용량 요금 형태의 보상금을 지급하고 전력 시스템의 안정적 운영을 위해 긴급 상황 시, 이벤트를 통해 호출 됨으로써 중요성이 더욱 부각되고 있다. 신뢰도 수요 반응 자원들은 운영주체와의 사전 계약 시, 자신의 월 또는 연간 사용 한도를 정하고 계약을 하게 된다. 이는 빈번한 수요 자원 호출로 인해 수요 자원 보유자가 효과적으로 반응하지 못하게 됨을 방지하기 위함이다. 본 논문에서는 이러한 수요자원의 최대 사용 횟수를 고려하여 신뢰도 수요 반응 프로그램의 스케줄링 방법을 제안하였다. 본 스케줄링 방법은 각 이벤트별 필요 수요 자원량과 각 수요 자원들의 비용을 고려하여 특정 기간동안의 계획을 수립하는 것으로써, 현재 널리 이용되는 단기 스케줄링과 비교하였을 때, 운영주체의 비용을 절감할 수 있게 된다.

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A RSVP Algorithm with Efficient Reservation Error Minimization (효과적인 예약 오류 최소화를 위한 RSVP 알고리즘)

  • Kim, Beum-Seok;Kim, Jung-Su;Sihn, Bong-Sik;Chong, Jong-Wha
    • Proceedings of the Korea Information Processing Society Conference
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    • 2001.10b
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    • pp.1601-1604
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    • 2001
  • 본 논문에서는 SM 메시지(Search Message)를 이용하여 효과적인 예약 오류 최소화를 위한 새로운 RSVP(Resource Reservation Protocol) 알고기즘을 제안한다. 기존의 RFC-2205[1]에 제시된 방안은 각각의 예약 요청을 모두 유지해야하기 때문에 과도한 대역폭 낭비와 이로인한 예약 성공 횟수가 감소되는 문제점을 안고 있다. 대역폭 낭비를 줄이기위해 본 논문에서는 SM 메시지를 도입하였다. 수신자는 주기적으로 SM 메시지를 송신자로 전송하여, 전송로 상의 각 라우터의 사용가능한 대역폭을 검사하여 최소 대역폭으로 각 라우터에 블록케이드 값을 생성한다. 각 라우터에서의 병합작업시 SM 메시지를 이용하여 설정된 블록케이드 값을 기준으로 병합작업 여부를 결정한다. 이는 각각의 예약요청을 별도로 유지해야 할 필요가 없어지므로, 기존의 KRP-I 문제의 해결책인 RFC-2205보다 대역폭 낭비를 줄일수 있게되며 이로인해 예약 수락율이 증가하여 보다 많은 예약 성공 횟수를 얻을수 있게된다. 제안한 SM 알고리즘을 모의 실험 해 본 결과, 예약 수락율이 기존의 RFC-2205보다 전체적으로 약 26% 정도 향상되었다.

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Chance-constrained Scheduling of Variable Generation and Energy Storage in a Multi-Timescale Framework

  • Tan, Wen-Shan;Abdullah, Md Pauzi;Shaaban, Mohamed
    • Journal of Electrical Engineering and Technology
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    • v.12 no.5
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    • pp.1709-1718
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    • 2017
  • This paper presents a hybrid stochastic deterministic multi-timescale scheduling (SDMS) approach for generation scheduling of a power grid. SDMS considers flexible resource options including conventional generation flexibility in a chance-constrained day-ahead scheduling optimization (DASO). The prime objective of the DASO is the minimization of the daily production cost in power systems with high penetration scenarios of variable generation. Furthermore, energy storage is scheduled in an hourly-ahead deterministic real-time scheduling optimization (RTSO). DASO simulation results are used as the base starting-point values in the hour-ahead online rolling RTSO with a 15-minute time interval. RTSO considers energy storage as another source of grid flexibility, to balance out the deviation between predicted and actual net load demand values. Numerical simulations, on the IEEE RTS test system with high wind penetration levels, indicate the effectiveness of the proposed SDMS framework for managing the grid flexibility to meet the net load demand, in both day-ahead and real-time timescales. Results also highlight the adequacy of the framework to adjust the scheduling, in real-time, to cope with large prediction errors of wind forecasting.

Study of thin film transition liquid crystal display (TFT-LCD) optical waste glass applied in early-high-strength controlled low strength materials

  • Wang, Her-Yung;Chen, Jyun-Sheng
    • Computers and Concrete
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    • v.5 no.5
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    • pp.491-501
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    • 2008
  • The present study verifies compressive strength, ultrasonic pulse velocity, electrical resistance,permeable ratio, and shrinkage from waste glass controlled low strength materials (WGCLSM) and early-high-strength WGCSLM specimens, by replacing the sand with waste glass percentages of 0%, 10%,20%, and 30%. This study reveals that increasing amounts of waste LCD glass incorporated into concrete increases WGCLSM fluidity and reduces the setting time, resulting in good working properties. By increasing the glass to sand replacement ratio, the compressive strength decreases to achieve low-strength effects. Furthermore, the electrical resistance also rises as a result of increasing the glass to sand replacement ratio. Early-high-strength WGCSLM aged 28 days has twice the electrical resistance compared to general WGCSLM. Early-high-strength WGCSLM aged 7 days has a higher ultrasonic pulse velocity similar to WGCSLM aged 28 days. The variation of length with age of different compositions is all within the tolerance range of 0.025%. This study demonstrates that the proper composition ratio of waste LCD glass to sand in early-high-strength WGCSLM can be determined by using different amounts of glass-sand. A mechanism for LCD optical waste glass usage can be established to achieve industrial waste minimization, resource recycling, and economic security.