• 제목/요약/키워드: Resource consumption rate

검색결과 125건 처리시간 0.019초

Energy-aware Virtual Resource Mapping Algorithm in Wireless Data Center

  • Luo, Juan;Fu, Shan;Wu, Di
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제8권3호
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    • pp.819-837
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    • 2014
  • Data centers, which implement cloud service, have been faced up with quick growth of energy consumption and low efficiency of energy. 60GHz wireless communication technology, as a new option to data centers, can provide feasible approach to alleviate the problems. Aiming at energy optimization in 60GHz wireless data centers (WDCs), we investigate virtualization technology to assign virtual resources to minimum number of servers, and turn off other servers or adjust them to the state of low power. By comprehensive analysis of wireless data centers, we model virtual network and physical network in WDCs firstly, and propose Virtual Resource Mapping Packing Algorithm (VRMPA) to solve energy management problems. According to VRMPA, we adopt packing algorithm and sort physical resource only once, which improves efficiency of virtual resource allocation. Simulation results show that, under the condition of guaranteeing network load, VPMPA algorithm can achieve better virtual request acceptance rate and higher utilization rate of energy consumption.

원유수입과 환율변동성 (Petroleum Imports and Exchange Rate Volatility)

  • 모수원;김창범
    • 자원ㆍ환경경제연구
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    • 제11권3호
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    • pp.397-414
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    • 2002
  • This paper presents an empirical analysis of exchange rate volatility, petroleum's import price and industrial production on petroleum imports. The GARCH framework is used to measure the exchange rate volatility. One of the most appealing features of the GARCH model is that it captures the volatility clustering phenomenon. We found one long-run relationship between petroleum imports, import price, industrial production, and exchange rate volatility using Johansen's multivariate cointegration methodology. Since there exists a cointegrating vector, therefore, we employ an error correction model to examine the short-run dynamic linkage, finding that the exchange rate volatility performs a key role in the short-run. This paper also apply impulse-response functions to provide the dynamic responses of energy consumption to the exchange rate volatility. The results show that the response of energy consumption to exchange rate volatility declines at the first month and dies out very quickly.

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Dynamic Service Assignment based on Proportional Ordering for the Adaptive Resource Management of Cloud Systems

  • Mateo, Romeo Mark A.;Lee, Jae-Wan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제5권12호
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    • pp.2294-2314
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    • 2011
  • The key issue in providing fast and reliable access on cloud services is the effective management of resources in a cloud system. However, the high variation in cloud service access rates affects the system performance considerably when there are no default routines to handle this type of occurrence. Adaptive techniques are used in resource management to support robust systems and maintain well-balanced loads within the servers. This paper presents an adaptive resource management for cloud systems which supports the integration of intelligent methods to promote quality of service (QoS) in provisioning of cloud services. A technique of dynamically assigning cloud services to a group of cloud servers is proposed for the adaptive resource management. Initially, cloud services are collected based on the excess cloud services load and then these are deployed to the assigned cloud servers. The assignment function uses the proposed proportional ordering which efficiently assigns cloud services based on its resource consumption. The difference in resource consumption rate in all nodes is analyzed periodically which decides the execution of service assignment. Performance evaluation showed that the proposed dynamic service assignment (DSA) performed best in throughput performance compared to other resource allocation algorithms.

물질흐름지표를 이용한 한국(韓國)의 지속가능한 자원관리(資源管理) 평가 연구(硏究) (Evaluation for Sustainable Resource Management In Korea using Material Flow Indicators)

  • 김유정
    • 자원리싸이클링
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    • 제20권6호
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    • pp.43-49
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    • 2011
  • 본 연구는 우리나라의 자원생산성(및 원재료 생산성), 물질순환이용율, 디커플링팩터 등의 3가지 지표를 산정하는 것을 통해 국내 경제활동과 자원소비간의 지속가능성을 평가하고 탈물질화 정도를 살펴보았다. 우리나라의 자원생산성은 2000년 1.32백만원/톤에서 2007년 1.61백만원/톤으로 22% 증가하였으며 2000년~2007년간 자원생산성 연평균증가율은 2.88%로 나타났다. 원재료물질투입량은 국내물질소비량(DMC)의 약 73%~76%를 차지하고 있으며, 원재료생산성은 2007년 2.11백만원/톤으로, 2000~2007년간의 연평균증가율은 3%로 나타났다. 배출된 폐기물은 재활용 및 에너지화를 통해 경제계로 순환되는데 국내 물질순환이용율은 2000년 10.9%에서 2007년 15.6%로 증가하였으며, 2000년부터 2007년까지 연평균 5.3% 수준으로 증가하였다. 그러나 전년대비 증가율의 변화율이 점차 감소하고 있는 추세로 나타났다. 또한 우리나라 경제활동과 자원소비량 간의 디커플링이 발생하여 탈물질화로 진행하고 있음을 확인할 수 있었다.

Personalized Battery Lifetime Prediction for Mobile Devices based on Usage Patterns

  • Kang, Joon-Myung;Seo, Sin-Seok;Hong, James Won-Ki
    • Journal of Computing Science and Engineering
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    • 제5권4호
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    • pp.338-345
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    • 2011
  • Nowadays mobile devices are used for various applications such as making voice/video calls, browsing the Internet, listening to music etc. The average battery consumption of each of these activities and the length of time a user spends on each one determines the battery lifetime of a mobile device. Previous methods have provided predictions of battery lifetime using a static battery consumption rate that does not consider user characteristics. This paper proposes an approach to predict a mobile device's available battery lifetime based on usage patterns. Because every user has a different pattern of voice calls, data communication, and video call usage, we can use such usage patterns for personalized prediction of battery lifetime. Firstly, we define one or more states that affect battery consumption. Then, we record time-series log data related to battery consumption and the use time of each state. We calculate the average battery consumption rate for each state and determine the usage pattern based on the time-series data. Finally, we predict the available battery time based on the average battery consumption rate for each state and the usage pattern. We also present the experimental trials used to validate our approach in the real world.

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.

공공임업투자(公共林業投資)에 대한 사회경제적(社會經濟的) 분석(分析)(I) - 사회적(社會的) 할인율(割引率)의 추정에 대하여 - (Socioeconomic Analysis of Public Forestry Investment(I) - On the Estimation of Social Discount Rate -)

  • 장철수
    • 한국산림과학회지
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    • 제81권3호
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    • pp.280-286
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    • 1992
  • 공공임업투자분석(公共林業投資分析)에 있어서 사회적 비용-편익분석법을 사용할 경우 적정 할인율의 선택은 매우 중요하다. 본 연구에서는 공공경제학 부문에서 토론 되고 있는 사회적(社會的) 할인율(割引率)이 소개되며 그의 한가지 척도로서 사회적(社會的) 시간선호율(時間選好率)이 우리나라에 대하여 추정되어졌다. 사용된 모델은 소비에 대한 사회적(社會的) 한계효용탄력성(限界效用彈力性) 계수(係數)와 실질 소비성장율(消費成長率)등 두가지 변수에 기초를 두고 있다. 적용 결과 우리나라의 사회적(社會的) 시간선호율(時間選好率)은 6.2%이며 소비에 대한 사회적(社會的) 한계효용(限界效用) 탄력성계수(彈力性係數)는 -1.38로 나타났다. 이러한 결과들은 합리적인 자원배분정책을 수립하는데 유용한 기초자료로 이용 될 수 있을 것이다.

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Investment beneficial analysis of rice alternative plants

  • Yi, Hyang-Mi;Goh, Jong-Tae;Lee, Jong-In
    • 농업과학연구
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    • 제40권2호
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    • pp.169-176
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    • 2013
  • The price and revenue of rice are expected to decrease due to increasing rice imports, decreasing consumption and the discontinuance of the government's rice procurement. This degenerating profitability is leading to a rise in the cultivation of upland-crops such as beans, fodder crops and fruits in paddy fields. However, there is a lack of research on the selection of rice substitute crops which are adaptable to the relevant region through profitability analysis. This research, therefore, analyzed investment profitability of rice substitute crops for Cheorwon-gun area in Kangwon province. The study applied net present value (NPV) and internal rate of return (IRR), which fit for mutually exclusive investments that make one selection to the exclusion of other crops. Target crops are green house plants in Cheorwon-gun area. Financial analysis showed paprika and cucumber have investment feasibility for automated vinyl greenhouses and conventional plastic greenhouses respectively.

A Comparative Study and Analysis of LoRaWAN Performance in NS3

  • Arshad Farhad;Jae-Young Pyun
    • 스마트미디어저널
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    • 제13권1호
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    • pp.45-51
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    • 2024
  • Long Range Wide Area Network (LoRaWAN) is a widely adopted Internet of Things (IoT) protocol due to its high range and lower energy consumption. LoRaWAN utilizes Adaptive Data Rate (ADR) for efficient resource (e.g., spreading factor and transmission power) management. The ADR manages these two resource parameters on the network server side and end device side. This paper focuses on analyzing the ADR and Gaussian ADR performance of LoRaWAN. We have performed NS3 simulation under a static scenario by varying the antenna height. The simulation results showed that antenna height has a significant impact on the packet delivery ratio. Higher antenna height (e.g., 50 m) has shown an improved packet success ratio when compared with lower antenna height (e.g., 10 m) in static and mobility scenarios. Based on the results, it is suggested to use the antenna at higher allevation for successful packet delivery.

다중 UAV-RIS 네트워크를 위한 자원 할당 알고리즘 (Resource Allocation Algorithm for Multiple RIS-Assisted UAV Networks)

  • 박희재;박래혁
    • Journal of Platform Technology
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    • 제11권1호
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    • pp.3-10
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    • 2023
  • 최근 Unmanned Aerial Vehicles (UAVs)은 높은 유동성 및 낮은 하드웨어 비용으로 5G, 6G 무선 통신에서 큰 관심을 받고 있다. 여전히 Blockage와 에너지 문제가 존재하지만 이러한 문제들은 Reconfigurable Intelligent Surface (RIS)를 활용하여 해결할 수 있다. 또한 RIS를 UAV 통신에 이용함으로써 신호를 받지 못하는 사용자에게 신호를 전송하여 Spectral Efficiency를 향상시키며, 에너지 소비를 줄일 수 있다. 현재 대부분의 연구들은 송신 전력과 RIS 위상을 교대로 최적화하여 Power Consumption 최소화 및 데이터 전송 Delay 최소화 등의 목적을 달성하였다. 본 논문에서는 대역폭 최적화를 포함하여 합산 정보 전달율을 최대화하는 알고리즘을 제안한다. 이에 대한 성능평가를 진행하였고, 시뮬레이션을 통해 제안한 알고리즘의 우수성을 보였다.

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