• KIPS Transactions on Computer and Communication Systems
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• v.2 no.7
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• pp.283-292
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• 2013

In order to ensure high performance, all the servers in an existing server cluster are always On regardless of number of real-time requests. They ensure QoS, but waste server power if some of them are idle. To save energy consumed by servers, the server power mode control was developed by shutdowning a server when a server is not needed. There are two types of server power mode control depending on when a server is actually turned off if the server is selected to be off: static or dynamic. In a static mode, the server power is actually turned off after a fixed time delay from the time of the server selection. In a dynamic mode, server power is actually turned off if all the services served in the server are done. This corresponds to a turn off after a variable time delay. The static mdoe has disadvantages. It takes much time to find an optimal shutdown time manually through repeated experiments. In this paper, we propose a dynamic shutdown method to overcome the disadvantages of static shutdown. The proposed method allows to guarantee user QoS with good power-saving because it automatically approaches an optimal shutdown time. We performed experiments using 30 PCs cluster. Experimental results show that the proposed dynamic shutdown method is almost same as the best static shutdown in terms of power saving, but better than the best static shutdown in terms of QoS.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.115-117
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• 2019

현재 우리나라는 지속되는 인구의 고령화와 단순 노동인구의 저하 등의 이유로 곳곳에 노동력이 부족한 상황이다. 그로인해 노동력을 대신할 기계들과 자동화 시스템이 많이 개발되었고, 발전해 나가고 있다. 본 논문의 웹서버는 IoT모듈의 전원을 무선통신을 통해 제어함으로 전원의 on/off기능을 통해 원거리에서 제어할 수 있는 방법으로 인력을 감소시킬 수 있다. 본 논문에서는 아두이노의 릴레이모듈, WiFi 모듈, 무선통신 웹서버를 통해 IoT 모듈의 전원을 제어하는 방법을 제안한다. HTTP 통신을 이용하여 웹서버에서 현재 on/off 제어 데이터를 IoT 모듈에서 읽어갈 수 있게 하고, IoT 모듈은 웹서버에서 읽어온 정보를 기반으로 작동하고 웹 서버로 자신의 정보를 전달한다.

• The KIPS Transactions:PartA
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• v.19A no.3
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• pp.139-146
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• 2012

In the server cluster environment, one of the ways saving energy is to control server's power according to traffic conditions. This is to determine the ON/OFF state of servers according to energy usage of data center and each server. To do this, we need a way to estimate each server's energy. In this paper, we use a software-based power consumption estimation model because it is more efficient than the hardware model using power meter in terms of energy and cost. The traditional software-based power consumption estimation model has a drawback in that it doesn't know well the computing status of servers because it uses only the idle status field of CPU. Therefore it doesn't estimate consumption power effectively. In this paper, we present a CPU field based power consumption estimation model to estimate more accurate than the two traditional models (CPU/Disk/Memory utilization based power consumption estimation model and CPU idle utilization based power consumption estimation model) by using the various status fields of CPU to get the CPU status of servers and the overall status of system. We performed experiments using 2 PCs and compared the power consumption estimated by the power consumption model (software) with that measured by the power meter (hardware). The experimental results show that the traditional model has about 8-15% average error rate but our proposed model has about 2% average error rate.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.175-178
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• 2011

서버 클러스터는 성능을 보장하기 위하여, 요청 수에 상관없이 미리 측정된 최대 부하 시점에서 처리 가능한 서버 수를 항상 운영하고 있다. 이것은 서비스의 품질은 보장할 수 있으나, 소비 전력 효율이 낮아 상당한 전력을 낭비하는 단점이 있다. 본 논문에서는 사용자 요청 수에 기반하여 동작시킬 서버의 수를 결정하는 알고리즘을 제안한다. 제안된 방식은 기존에 학습된 정보(과거 정보)와 현재의 정보에 근거하여 Off/Sleep 상태의 서버를 On 시키거나, On 상태의 서버를 Off/Sleep시켜, 현 시점에서 필요한 최적의 서버대수를 유지하도록 했다. 15대의 서버로 클러스터를 구성하고, SPECweb을 통해 실험을 수행하였다. 실험결과, 서버 모드를 제어할 경우에 제어하지 않는 경우에 비해 약 35%의 전력이 절감되고, 본 논문에서 제안하는 학습 방법을 추가로 적용할 경우 약 5%의 전력이 추가로 절감되었다.

• Journal of the Korea Computer Industry Society
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• v.10 no.3
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• pp.99-104
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• 2009

In this paper, fluorescent lamp on/off control and luminous intensity used an power line communication and remotely will be able to control system design. Embodied the respectively illumination equipment and tools by the network using PLC. In order to remote control and on/off of illumination equipment, luminous intensity composed a server. Will convert a previous analog system with digital system and the possibility witch will reduce an error ratio was. Consequently will be able to simplify a circuit.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.677-678
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• 2009

USB메모리의 분실 및 도난을 통하여 개인정보 유출 사건이 증가함에 따라 보안USB 솔루션이 개발되어 사용자들에게 제공되고 있다. 이러한 보안USB 솔루션은 비밀번호를 기반으로 사용자 인증을 제공 하고 있어 비밀번호 분실 시 보안영역에 접근할 수 없는 불편함을 가지고 있다. 이를 해결하기 위해 여러 보안USB 솔루션에서 서버를 이용한 비밀번호 백업/복구 서비스를 제공하지만 이 또한 네트워크에 연결되어 있지 않은 클라이언트에서 비밀번호를 변경 시 변경된 비밀번호가 서버에 동기화 되지 못하는 문제가 발생되고 있다. 따라서 본 논문은 Off-Line 환경에서 변경된 비밀번호를 USB메모리에 안전하게 저장한 뒤 On-Line 환경으로 변경 시 변경된 비밀번호를 서버와 동기화 하는 방법을 제시한다.

• KIPS Transactions on Computer and Communication Systems
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• v.4 no.2
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• pp.47-56
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• 2015

In an energy saving server cluster environment, the power modes of servers are controlled according to load situation, that is, by making ON only minimum number of servers needed to handle current load while making the other servers OFF. This algorithm works well under normal circumstances, but does not guarantee QoS under abnormal circumstances such as sharply rising or falling loads. This is because the number of ON servers cannot be increased immediately due to the time delay for servers to turn ON from OFF. In this paper, we propose a new prediction algorithm of the power consumption for improving QoS under not only normal but also abnormal circumstances. The proposed prediction algorithm consists of two parts: prediction based on the conventional time series analysis and prediction adjustment based on trend analysis. We performed experiments using 15 PCs and compared performance for 4 types of conventional time series based prediction methods and their modified methods with our prediction algorithm. Experimental results show that Exponential Smoothing with Trend Adjusted (ESTA) and its modified ESTA (MESTA) proposed in this paper are outperforming among 4 types of prediction methods in terms of normalized QoS and number of good reponses per power consumed, and QoS of MESTA proposed in this paper is 7.5% and 3.3% better than that of conventional ESTA for artificial load pattern and real load pattern, respectively.

• The Journal of the Korea Contents Association
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• v.2 no.3
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• pp.31-40
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• 2002

In this thesis, the interactive multimedia contents service system is proposed. The interactive multimedia contents service system which added the on-line merit on the off-line merit of CD-ROM title can transfer messages among users and update contents immediately. The Interactive multimedia contents service system which Integrated the CD-ROM title and Internet sonics is possible to use in on-line / off-line. The proposed system more improved the fault of CD-ROM title in the conventional main media, the search environment by using mutual correlation of the utilization and method of the Internet CD-ROM title.

• The KIPS Transactions:PartC
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• v.19C no.2
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• pp.135-144
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• 2012

All the servers in a traditional server cluster environment are kept On. If the request load reaches to the maximum, we exploit its maximum possible performance, otherwise, we exploit only some portion of maximum possible performance so that the efficiency of server power consumption becomes low. We can improve the efficiency of power consumption by controlling power mode of servers according to load situation, that is, by making On only minimum number of servers needed to handle current load while making Off the remaining servers. In the existing power mode control method, they used a static policy to decide server power mode at a fixed time interval so that it cannot adapt well to the dynamically changing load situation. In order to improve the existing method, we propose a dynamic server power control algorithm. In the proposed method, we keep the history of server power consumption and, based on it, predict whether power consumption increases in the near future. Based on this prediction, we dynamically change the time interval to decide server power mode. We performed experiments with a cluster of 30 PCs. Experimental results show that our proposed method keeps the same performance while reducing 29% of power consumption compared to the existing method. In addition, our proposed method allows to increase the average CPU utilization by 66%.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.12
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• pp.2981-2986
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• 2015

In this paper, there are m servers to carry out broadcasts and the scheduling problem to serve the requests with deadlines is studied. If a server broadcasts a page, then all the requests which require the page are satisfied. A scheduling algorithm shall determine which pages are broadcasted on servers at a time. Its goal is to maximize the sum of weights of requests satisfied within their deadlines. The performance of an on-line algorithm is compared with that of the optimal off-line algorithm which can see all the inputs in advance. In general, the off-line algorithms outperform the on-line algorithms. So we will use the resource augmentation analysis in which the on-line algorithms can utilize more resources. We consider the case that the on-line algorithms can use more servers in this paper.