• Proceedings of the Korea Information Processing Society Conference
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• 2010.04a
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• pp.243-246
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• 2010

최근 정보량의 급격한 증가로 데이터센터는 점차 대형화되고 있으며, 통합적으로 관리/운영되기 위해서는 전산실내 적절한 온도와 습도의 유지가 필수적이므로, 전산실내 에너지의 사용 효율을 극대화하기 위한 연구가 꾸준히 이루어지고 있다. 이 연구에서는 국내 공공부문의 대형 전산실을 모델로 선정하여 전산실 내 서버의 위치, 용량 그리고 냉각시스템 등을 고려하여 전산실내 열/유동특성을 수치적으로 규명함으로써, 에너지 효율 극대화를 추구하고 전력을 절감하여 저탄소 녹색성장과 그린IT 환경을 구축 하고자 한다. 이를 위하여 실제 측정한 환경 데이터를 바탕으로 전산유체역학(CFD)을 이용하여 3차원 비압축성, 정상상태의 열/유동특성을 예측한다. 또한 기존 및 개선된 전산실에 대한 비교결과를 바탕으로 새로운 열/유동조건을 도출하며, 이를 통하여 전산실 운영에 필요한 에너지 효율향상 방안을 제안하고자 한다. 연구 결과, 전산실 천장의 냉기유입부분과 열기배출부분으로 나뉘어 냉복도와 온복도를 형성하며, 내부 서버와 기타 각종 장비들의 발열 등으로 부분적인 열섬(Thermal island)현상이 나타났다. 이러한 열섬현상을 줄이고, 전산실내 환경을 최적화하기 위하여 찬공기 유입부분의 속도, 배출구의 유량, 그리고 냉/온 복도의 역할 변경 등 여러 가지 가능한 매개변수에 대한 연구가 필수적이다. 또한, 서버에서 발생한 고온의 공기를 배출하는 것이 전산실 내 적절한 온도구현에 효과적이며, 열섬현상을 방지하기 위해서는 이 부분에 차가운 공기의 유입이 필요하다는 것을 알 수 있었다.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.4
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• pp.149-158
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• 2023

As data utilization is becoming more important recently, the importance of data centers is also increasing. However, the data center is a problem in terms of environment and economy because it is a massive power-consuming facility that runs 24 hours a day. Recently, studies using deep learning techniques to reduce power used in data centers or servers or predict traffic have been conducted from various perspectives. However, the amount of traffic data processed by the server is anomalous, which makes it difficult to manage the server. In addition, many studies on dynamic server management techniques are still required. Therefore, in this paper, we propose a dynamic server management technique based on Long-Term Short Memory (LSTM), which is robust to time series data prediction. The proposed model allows servers to be managed more reliably and efficiently in the field environment than before, and reduces power used by servers more effectively. For verification of the proposed model, we collect transmission and reception traffic data from six of Wikipedia's data centers, and then analyze and experiment with statistical-based analysis on the relationship of each traffic data. Experimental results show that the proposed model is helpful for reliably and efficiently running servers.

• Information Systems Review
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• v.11 no.2
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• pp.147-167
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• 2009

As global climate changes, the interest in environmental crisis is increasing and a number of international agreements and regulations against this crisis are being established. Global information technology(IT) corporations are building their own pro-environmental green IT strategies to cope with the regulatory measures. Green IT broadly refers to pro-environmental technologies designed to replace hazardous materials, maximize energy effectivity, and find alternative energies. In the current stage of the IT industry development, Green IT specifically refers to the technologies that deal with the server heat generation and the energy reduction in data center. This study defines the concept of Green IT and reviews its origin and necessity. Then, it examines the issues regarding Green IT industry in Korea as well as other countries and compares the Green IT strategies developed in each country. Reviewing the recent development of IT and data center market enables us to see that overall Green IT strategies focus on the establishment of Green Internet Data Centers. Therefore, this study analyzes the cases in which some domestic and foreign corporations introduced Green Data Centers in order to examine the protocol and legal requirements for building Green IT, the aspects of environmental evaluation and design, and specific strategies for launching Green IT strategies and its future assignments. The conclusions of this study are as follows. First, to introduce Green Data Center as a strategy to build Green IT, the government and corporations should cooperate with each other. Partial introduction at the initial stage is desirable because, through the process, mutual trust between the two parties can be built more smoothly. Second, CEO's determination to build Green IT and continue its operation is indispensable. CEO's are required to have clear understanding as to why Green IT needs to be built and how it should be constructed. Those who initiate the construction of Green Data Center for Green IT need to know the definition and necessity of Green IT while at the same time understanding the implicit meanings of Green IT. They also need to be aware of future-oriented values of Green Data Center and readjust their corporate business activities in the pro-environmental direction. Finally, not only the CEOs' pro-environmental activities but also the change of mind on the part of all corporate employees is required to realize Green IT. It should be remembered that pro-environmental Green IT starts with minor activities.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.4
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• pp.269-277
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• 2019

In this paper, the compatibility analysis on the track record operation center for the regional industry upbringing is presented. The renewable energy sources such as solar, wind and battery energy storage system have been widely spread in these days. Also the requirements on the efficiency, reliability and power demands of these distributed systems are increasing and they can be demands on the construction of the data track record center for renewable energy industries in order to promote the local industries. The analysis on the size of the de-centralized power system are performed based on the technical issues. The necessities, requirements and center goals to meet these missions are presented in the following session. The proposal of the 1 MW operation center construction and operations are presented in the result of the compatibility analysis. And the lists of the required equipments in the operation facilities are suggested to have proper operational capabilities. The results of this research can be applied in the fundamental data to promote the regional renewable industries.

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.2
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• pp.31-36
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• 2020

The creation of the Defense Integrated Data Center(DIDC) has resulted in a reduction in manpower, operating costs, efficient and effective management of resources. However, it is difficult to effectively collect and manage the data of a large number of battlefields coming from equipments such as drones, robots, and IoT added to the fourth industrial revolution and the future battlefield. Therefore, we will propose the design of DIDC network system using NFV and SDN, which are emerging as the core technologies of 5G, a mobile communication technology. After analyzing the data sheet of each equipment, it is considered that by integrating the redundant functions, energy efficiency, resource utilization and effective network management will be possible.

• Journal of Internet Computing and Services
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• v.18 no.1
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• pp.1-9
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• 2017

Innovations from current researches on cloud computing such as applying bio-inspired computing techniques have brought new level solutions in offloading mechanisms. With the growing trend of mobile devices, mobile cloud computing can also benefit from applying bio-inspired techniques. Energy-efficient offloading mechanisms on mobile cloud systems are needed to reduce the total energy consumption but previous works did not consider energy consumption in the decision-making of task distribution. This paper proposes the Particle Swarm Optimization (PSO) as an offloading strategy of cloudlet to data centers where each task is represented as a particle during the process. The collected tasks are classified using K-means clustering on the cloudlet before applying PSO in order to minimize the number of particles and to locate the best data center for a specific task, instead of considering all tasks during the PSO process. Simulation results show that the proposed PSO excels in choosing data centers with respect to energy consumption, while it has accumulated a little more processing time compared to the other approaches.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.4 no.2
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• pp.135-140
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• 2011

Currently, studies have show that the network related energy consumption are increasing. and part of overall energy consumption of our society are too. So, that is important to look for energy-efficient network applications and protocols. A most of network energy consumption are due to network edge devices. in this paper, in order to cut down the emissions of carbon dioxide from ICT business, which contributes 2% of the global energy consumption, it is necessary to understand energy consumption in peer-to-peer system. In this paper, in this paper we propose a architecture based on the introduction of a p2p proxy. The model is analyzed analytically and numerically to reveal how these factors influence the overall power consumption in both steady state and flash crowd information exchange scenarios. Specifically, our results show that the proxy-based solution can provide up to 50% reduction in the energy consumption and, at the same time, a significant reduction in the average file download time.

• Journal of Internet Computing and Services
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• v.15 no.3
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• pp.1-10
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• 2014

The cloud computing paradigm introduced pay-per-use models in which IT services can be created and scaled on-demand. However, service providers are still concerned about the constraints imposed by their physical infrastructures. In order to keep the required QoS and achieve the goal of upholding the SLA, virtualized resources must be efficiently consolidated to maximize system throughput while keeping energy consumption at a minimum. Using ANN, we propose a predictive SLA-aware approach for consolidating virtualized resources in a cloud environment. To maintain the QoS and to establish an optimal trade-off between performance and energy efficiency, the server's utilization threshold dynamically adapts to the physical machine's resource consumption. Furthermore, resource-intensive VMs are prevented from getting underprovisioned by assigning them to hosts that are both capable and reputable. To verify the performance of our proposed approach, we compare it with non-optimized conventional approaches as well as with other previously proposed techniques in a heterogeneous cloud environment setup.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.22 no.8
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• pp.530-537
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• 2010

With the advancement of technology, the density of IT equipment, heat load and power consumption continue to increase in high density internal-load dominated buildings as datacenters. To improve the HVAC system's energy performance and efficiency, there is a need to find methods of using outside air. Through cooling tower control that is based on outside wet-bulb temperature, the water-side economizer made it possible to achieve a maximum energy performance improvement of about 16.6% over the basic chilled water system, whereas the air-side economizer, through control based on outdoor air enthalpy, made it possible to achieve about 42.4% improvement.

• KIISE Transactions on Computing Practices
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• v.22 no.9
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• pp.467-472
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• 2016

In this study, we propose an Energy-Aware Web service to optimize energy efficiency using the characteristics of the system load. Currently, the service scale of data center is growing and the range of its applications is enlarged, causing interest in energy conservation. In particular, the web service has the largest proportion among various services of the data center. We propose a new energy saving method for web services guaranteeing the performance requirements of the services. The proposed method is optimized through the differences of energy-consumption rate over the system load. Performance evaluation has been performed under conditions similar to the actual service. The results indicated that the maximum energy reduction by the proposed method is up to 30% better than the existing methods.