• 제목/요약/키워드: Resources allocation

검색결과 787건 처리시간 0.03초

Study on Water Resources Allocation in the Lancangjiang River Basin of China

  • Ying, Gu;Heng, Liu;Jingnan, Liu;Sihua, Lei
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2006년도 학술발표회 논문집
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    • pp.36-44
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    • 2006
  • Based on water resources availability and development condition of the Lancang River, as well as considering the international river water resources characters, the paper put forwarded an integrated allocation way of the water resources of Lancang River Basin. According to the basic rules of equitable and suitable utilization of water resources of international rivers, water resources demand for domestic, industrial, irrigation and ecosystem system, and principles of society stabilities and the food safety etc, an index system of Lancang River water resources allocation was set up. Two levels scheme of Lancang River water allocation are proposed. First level is for an international water, which primarily to analysis the water quantity at the national boundary. Second level is for provincial water allocation among Qinghai, Yunnan provinces and Tibetan Autonomous Region. In the allocation schemes, the water resources development of Lancang River Basin at different scenarios and the related water allocation in different years and seasons were analyzed. A discharge to some cross sections of the river and a total amount water quantity for each district has been given as well.

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Developing an Optimization Module for Water, Energy, and Food Nexus Simulation

  • Wicaksono, Albert;Jeong, Gimoon;Kang, Doosun
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2017년도 학술발표회
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    • pp.184-184
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    • 2017
  • A nation-wide water-energy-food (WEF) nexus simulation model has been developed by the authors and successfully applied to South Korea to predict the sustainability of those three resources in the next 30 years. The model was also capable of simulating future scenarios of resources allocation based on priority rules aiming to maximize resources sustainability. However, the process was still relying on several assumptions and trial-and-error approach, which sometimes resulted in non-optimal solutions of resources allocation. In this study, an optimization module was introduced to enhance the model in generating optimal resources management rules. The objective of the optimization was to maximize the reliability index of resources by determining the resources' allocation and/or priority rules for each demand type that accordingly reflect the resources management policies. Implementation of the optimization module would result in balanced allocation and management of limited resources and assist the stakeholders in deciding resources' management plans, either by fulfilling the domestic production or by global trading.

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Challenges and Issues of Resource Allocation Techniques in Cloud Computing

  • Abid, Adnan;Manzoor, Muhammad Faraz;Farooq, Muhammad Shoaib;Farooq, Uzma;Hussain, Muzammil
    • 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.

Out of Kilter법을 이용한 동원병력 최적할당에 관한 연구 (Optimal Allocation of Mobilization Designee by Out of Kilter Method)

  • 안대희;김충영
    • 한국국방경영분석학회지
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    • 제17권2호
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    • pp.54-71
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    • 1991
  • It is very important to increase defence capability rapidly against any surprise attack. This can be done by fast deployment of mobilization reserved resources. This paper is forcused on optimal allocation of special reserved resources. First of all, the location of special reserved resources is identified and then the location of combat and mobilization units and amount of requirement resources of each unit are identified. Finally, optimal allocation of the special reserved resources is obtained by Out of Kilter method.

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중.노년기 가계의 신인 자녀에 대한 경제적 자원이전의 분배기준 (Allocation Criterion of the Economic Resources Transfers to Adult Children Among the Middle Aged and the Elderly)

  • 배희선;최현자
    • 대한가정학회지
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    • 제40권6호
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    • pp.99-115
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    • 2002
  • The purpose of this study is to investigate the allocation criteria types in transferring economic resources to adult children from the adult-childhood of children to parent's death based on theoretical backgrounds. The research results can be summarized as follows: 1) The mean of allocation criterion of exchange was the highest, the next was the criterion of compensation, and the criterion related birth factors was the lowest. 2) Allocation criteria dimensions of economic resources transfers composed of compensation, exchange, and birth factors were classified into 4 types: $\circled1$ the type that parents transfer to compensate economic status of children, $\circled2$ the type that parents transfer more resources to children who take more care of their parents, $\circled3$ the type that parents transfer more resources to primogeniture or sons, $\circled4$ the mixed type that uses the exchange criterion, the compensation criterion, and the criterion related birth factors. 3) The variables which have significance on the types of allocation criteria were age, the number of children, and marital status. The results of the study suggests the implications of income redistribution policy, financial resource management and saving products development, and the law to motivate care of parents.

벼직파재배 연구자원배분과 경제적 성과의 일치성 분석 (Congruency Analysis for Rice Direct Seeding Research Resource Allocation)

  • 박정근;이호진;윤성중
    • 한국작물학회지
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    • 제48권3호
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    • pp.135-138
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    • 2003
  • 1993-98년 동안 농촌진흥청의 벼직파재배 연구현황과 연구자원 배분의 경제적 합리성에 관한 연구결과는 다음과 같다. 1. 벼직파기술분야별 연구는 과거에는 기초연구부문에 집중되었으나 최근에는 직접 농민들의 현장애로를 타개하기 위한 파종, 입모, 잡초방제, 물관리 등 기능적 문제점을 해결하기 위한 연구투자가 확대되었다. 2. 직파재배의 초기에는 파종과 품종육성 부문에 연구투자가 크게 이루어졌으나 최근에는 그 비중이 줄어들고 시비개선, 잡초 방제, 물관리 부문에 대한 연구자원 배분이 늘어나고 있다. 3. 토양관리와 입모에 관한 연구비중은 줄어들고 있어 농민들의 이 부문에 대한 현장 애로는 크게 감소된 것으로 나타났다. 4. 벼직파재배에 대한 연구의 경제적 성과와 연구자원 배분은 기술분야별 일치성이 커서 합리적인 연구자원 배분이 이루어지고 있다.

유역 물관리를 위한 최적 물배분 방식에 대한 연구 (A Research on Optimal Water Allocation Methodology for Water Management in River Basin)

  • 이진희;이동률;이충성;문장원
    • 한국습지학회지
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    • 제10권2호
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    • pp.155-164
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    • 2008
  • 인구가 증가하고 경제가 발전하면서 한정된 수자원에 대한 다양한 수요자의 수자원 확보 경쟁이 발생하고 있다. 이러한 현실로 인해 법과 제도에 의한 물배분에 대한 관심이 커지고 있는 실정이다. 본 논문에서는 한정된 수자원을 확보하기 위한 수요자에게 배분하기 위한 유역 전체를 고려한 최적의 물배분 기법을 개발하였다. 이러한 물배분 기법은 유역 전반에 걸친 분석를 고려할 때 최적화 기법에 의존할 수밖에 없으며 제시된 모형은 경제적 효율성, 형평성, 지속가능성의 목적을 달성하기 위하여 노력하였다. 적절한 사례연구를 통하여 기존의 수리권 시스템과 더불어 제시된 모형을 검토 되었다. 도출된 결과는 복잡한 수문학적 시스템뿐만 아니라 법적, 제도적 제약조건 하에서의 적용성을 보여 주고 있다.

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안전성을 고려한 품질특성 선정 및 자원배분 (Quality Characteristic Choice and Resources Allocation under Consideration of Safety)

  • 김종걸;정진호
    • 대한안전경영과학회:학술대회논문집
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    • 대한안전경영과학회 2004년도 추계학술대회
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    • pp.245-252
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    • 2004
  • This paper presents a method for choosing quality characteristics to consider safety by integrating QFD based on quality requirements and AHP based on safety requirements, also shows resources allocation method to maximize customer satisfaction by ranking the index of technical importance to cost.

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A Joint Allocation Algorithm of Computing and Communication Resources Based on Reinforcement Learning in MEC System

  • Liu, Qinghua;Li, Qingping
    • Journal of Information Processing Systems
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    • 제17권4호
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    • pp.721-736
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    • 2021
  • For the mobile edge computing (MEC) system supporting dense network, a joint allocation algorithm of computing and communication resources based on reinforcement learning is proposed. The energy consumption of task execution is defined as the maximum energy consumption of each user's task execution in the system. Considering the constraints of task unloading, power allocation, transmission rate and calculation resource allocation, the problem of joint task unloading and resource allocation is modeled as a problem of maximum task execution energy consumption minimization. As a mixed integer nonlinear programming problem, it is difficult to be directly solve by traditional optimization methods. This paper uses reinforcement learning algorithm to solve this problem. Then, the Markov decision-making process and the theoretical basis of reinforcement learning are introduced to provide a theoretical basis for the algorithm simulation experiment. Based on the algorithm of reinforcement learning and joint allocation of communication resources, the joint optimization of data task unloading and power control strategy is carried out for each terminal device, and the local computing model and task unloading model are built. The simulation results show that the total task computation cost of the proposed algorithm is 5%-10% less than that of the two comparison algorithms under the same task input. At the same time, the total task computation cost of the proposed algorithm is more than 5% less than that of the two new comparison algorithms.

Water Resources Management Challenge in the Citarum River Basin, Indonesia

  • Wicaksono, Albert;Yudianto, Doddi;Jeong, Gimoon;Kang, Doosun
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2016년도 학술발표회
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    • pp.198-198
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    • 2016
  • The Citarum River Basin is the biggest river basin in West Java Province, Indonesia and it plays strategic roles in providing water for irrigation, domestic and industrial uses, and power generation, besides controlling the flood during rainy season. Flowing through seven major cities makes the river flow and water demand are vulnerable to land use change around the river. The present water resources management has involved the regulator, operator, and users in deciding an appropriate water management plan for the entire basin. The plan includes an operation plan for three reservoirs, construction or maintenance of the river channel, and water allocation for all users along the river. Following this plan, a smaller operation group will execute and evaluates the plan based on the actual flow condition. Recently, a deforestation, environment degradation, river sedimentation, a rapid growth of population and industry, also public health become new issues that should be considered in water basin planning. Facing these arising issues, a new development program named ICWRMIP was established to advance the existing management system. This program includes actions to strengthen institutional collaboration, do the restoration and conservation of the river environment, improve water quality and public health, also advance the water allocation system. At present, the water allocation plan is created annually based on a forecasted flow data and water usage prediction report. Sometimes this method causes a difficulty for the operator when the actual flow condition is not the same as the prediction. Improving existing system, a lot of water allocation studies, including a development of the database and water allocation simulation model have been placed to help stakeholders decide the suitable planning schemes. In the future, this study also tries to contribute in advancing water allocation planning by creating an optimization model which ease stakeholders discover a suitable water allocation plan for individual users.

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