• Title/Summary/Keyword: Capacity of server

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The Role of Government A Study on Utilization Method of Hardware Sizing Guidelines in Public Sector - In aspect of institutional viewpoint - (공공부문 하드웨어 규모산정 지침 활용 활성화 방안에 대한 연구 - 제도적 측면을 중심으로 -)

  • Choe, Gwang-Don;Jeong, Hae-Yong;Na, Jong-Hoe
    • 한국디지털정책학회:학술대회논문집
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    • 2006.06a
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    • pp.311-318
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    • 2006
  • In this study, It is suggested how to utilize hardware capacity sizing system for WEB, WAS, OLTP server's CPU, memory, and disk capacity by its user reasonably. To achieve goal of this study, we presented specific approaches in aspect of institutional viewpoint. The result of this study can be reflected gradually in the guideline of informatization related budgeting by MPB(Ministry of Planning and Budget) and e-government supporting program.

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Implementation of Hardware RAID and LVM-based Large Volume Storage on Global Data Center System of International GNSS Service

  • Lee, Dae-Kyu;Cho, Sung-Ki;Park, Jong-Uk;Park, Pil-Ho
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.1553-1557
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    • 2005
  • High performance and reliability of the storage system to handle a very large amount of data has been become very important. Many techniques have been applied on the various application systems to establish very large capacity storage that satisfy the requirement of high I/O speed and physical or logical failure protection. We applied RAID and LVM to construct a storage system for the global data center which needs a very reliable large capacity storage system. The storage system is successfully established and equipped on the latest Linux application server.

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Design of System for Avoiding upload of Identical-file using SA Hash Algorithm (SA 해쉬 알고리즘을 이용한 중복파일 업로드 방지 시스템 설계)

  • Hwang, Sung-Min;Kim, Seog-Gyu
    • Journal of the Korea Society of Computer and Information
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    • v.19 no.10
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    • pp.81-89
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    • 2014
  • In this paper, we propose SA hash algorithm to avoid upload identical files and design server system using proposed SA hash algorithm. Client to want to upload file examines the value of SA hash and if the same file is found in server system client use the existing file without upload. SA hash algorithm which is able to examine the identical-file divides original file into blocks of n bits. Original file's mod i bit and output hash value's i bit is calculated with XOR operation. It is SA hash algorithm's main routine to repeat the calculation with XOR until the end of original file. Using SA hash algorithm which is more efficient than MD5, SHA-1 and SHA-2, we can design server system to avoid uploading identical file and save storage capacity and upload-time of server system.

Design and Evaluation of a Channel Reservation Batch-Patching Technique for VOD Services (VOD 서비스를 위한 채널 예약 배치-패칭 방법의 설계 및 평가)

  • 하숙정;이경숙;배인한
    • Journal of Korea Multimedia Society
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    • v.7 no.3
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    • pp.357-367
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    • 2004
  • In VOD systems the number of channels available to a video server is limited since the number of channels, the video server can support, is determined by the communication bandwidth of the video server. Multicast techniques such as batching, patching and batch-patching have been proposed to reduce I/O demand on the video server by sharing multicast data. In this paper, we propose a channel reservation batch-patching technique that first applies the batching technique to hot video requests and then applies the patching technique to the batches of the hot video requests. And the proposed technique reserves a part of the channel capacity of the video server for many hot video requests, so that the hot video requests can be served without defection. The performance of the proposed technique is compared with those of Patching and Batch-Patching techniques in terms of average service latency, defection rate, fairness and frame reduction rate by simulations.

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Design and Implementation of a Group-based Real-time Distance Learning System (그룹기반 실시간 원격 학습 시스템의 설계 및 구현)

  • Jang, Si-Woong;Jeon, Young-Joon
    • Journal of KIISE:Computing Practices and Letters
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    • v.6 no.5
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    • pp.543-554
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    • 2000
  • In the conventional distance education systems, all functions for the distance education were processed by a server. Therefore, the system of high capacity was required and there were various restrictions to provide many classes in real-time simultaneously. The group-based distance education system proposed in this study reduces a load of the main server by distributing its functions to client PCs. In the group-based education system, the establishment of lecture or discussion rooms is executed by main server, but on the other hand, the functions of the conventional server are executed by a lecturer's PC or a discussion administrator's PC The test results of the system implemented in this study show that a lecturer's PC can afford to provide fifty trainees a lecture, though they depend on the specification of systems. Therefore, the proposed system in this study can afford to simultaneously provide with the various distance discussions and lectures by reducing a load concentrated to the server.

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A Study on the Development of an Automatic Classification System for Life Safety Prevention Service Reporting Images through the Development of AI Learning Model and AI Model Serving Server (AI 학습모델 및 AI모델 서빙 서버 개발을 통한 생활안전 예방 서비스 신고 이미지 자동분류 시스템 개발에 대한 연구)

  • Young Sic Jeong;Yong-Woon Kim;Jeongil Yim
    • Journal of the Society of Disaster Information
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    • v.19 no.2
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    • pp.432-438
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    • 2023
  • Purpose: The purpose of this study is to enable users to conveniently report risks by automatically classifying risk categories in real time using AI for images reported in the life safety prevention service app. Method: Through a system consisting of a life safety prevention service platform, life safety prevention service app, AI model serving server and sftp server interconnected through the Internet, the reported life safety images are automatically classified in real time, and the AI model used at this time An AI learning algorithm for generation was also developed. Result: Images can be automatically classified by AI processing in real time, making it easier for reporters to report matters related to life safety.Conclusion: The AI image automatic classification system presented in this paper automatically classifies reported images in real time with a classification accuracy of over 90%, enabling reporters to easily report images related to life safety. It is necessary to develop faster and more accurate AI models and improve system processing capacity.

A Flexible Multi-Threshold Based Control of Server Power Mode for Handling Rapidly Changing Loads in an Energy Aware Server Cluster (에너지 절감형 서버 클러스터에서 급변하는 부하 처리를 위한 유연한 다중 임계치 기반의 서버 전원 모드 제어)

  • Ahn, Taejune;Cho, Sungchoul;Kim, Seokkoo;Chun, Kyongho;Chung, Kyusik
    • KIPS Transactions on Computer and Communication Systems
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    • v.3 no.9
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    • pp.279-292
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    • 2014
  • Energy aware server cluster aims to reduce power consumption at maximum while keeping QoS(quality of service) as much as energy non-aware server cluster. In the existing methods of energy aware server cluster, they calculate the minimum number of active servers needed to handle current user requests and control server power mode in a fixed time interval to make only the needed servers ON. When loads change rapidly, QoS of the existing methods become degraded because they cannot increase the number of active servers so quickly. To solve this QoS problem, we classify load change situations into five types of rapid growth, growth, normal, decline, and rapid decline, and apply five different thresholds respectively in calculating the number of active servers. Also, we use a flexible scheme to adjust the above classification criterion for multi threshold, considering not only load change but also the remaining capacity of servers to handle user requests. We performed experiments with a cluster of 15 servers. A special benchmarking tool called SPECweb was used to generate load patterns with rapid change. Experimental results showed that QoS of the proposed method is improved up to the level of energy non-aware server cluster and power consumption is reduced up to about 50 percent, depending on the load pattern.

A novel risk assessment approach for data center structures

  • Cicek, Kubilay;Sari, Ali
    • Earthquakes and Structures
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    • v.19 no.6
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    • pp.471-484
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    • 2020
  • Previous earthquakes show that, structural safety evaluations should include the evaluation of nonstructural components. Failure of nonstructural components can affect the operational capacity of critical facilities, such as hospitals and fire stations, which can cause an increase in number of deaths. Additionally, failure of nonstructural components may result in economic, architectural, and historical losses of community. Accelerations and random vibrations must be under the predefined limitations in structures with high technological equipment, data centers in this case. Failure of server equipment and anchored server racks are investigated in this study. A probabilistic study is completed for a low-rise rigid sample structure. The structure is investigated in two versions, (i) conventional fixed-based structure and (ii) with a base isolation system. Seismic hazard assessment is completed for the selected site. Monte Carlo simulations are generated with selected parameters. Uncertainties in both structural parameters and mechanical properties of isolation system are included in simulations. Anchorage failure and vibration failures are investigated. Different methods to generate fragility curves are used. The site-specific annual hazard curve is used to generate risk curves for two different structures. A risk matrix is proposed for the design of data centers. Results show that base isolation systems reduce the failure probability significantly in higher floors. It was also understood that, base isolation systems are highly sensitive to earthquake characteristics rather than variability in structural and mechanical properties, in terms of accelerations. Another outcome is that code-provided anchorage failure limitations are more vulnerable than the random vibration failure limitations of server equipment.

Operational Scheme for Large Scale Web Server Cluster Systems (대규모 웹서버 클러스터 시스템의 운영방안 연구)

  • Park, Jin-Won
    • Journal of the Korea Society for Simulation
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    • v.22 no.3
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    • pp.71-79
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    • 2013
  • Web server cluster systems are widely used, where a large number of PC level servers are interconnected via network. This paper focuses on forecasting an appropriate number of web servers which can serve four different classes of user requests, simple web page viewing, knowledge query, motion picture viewing and motion picture uploading. Two ways of serving different classes of web service requests are considered, commonly used web servers and service dedicated web servers. Computer simulation experiments are performed in order to find a good way of allocating web servers among different classes of web service requests, maintaining certain levels of resource utilization and response time.

Buffer Policy based on High-capacity Hybrid Memories for Latency Reduction of Read/Write Operations in High-performance SSD Systems

  • Kim, Sungho;Hwang, Sang-Ho;Lee, Myungsub;Kwak, Jong Wook;Park, Chang-Hyeon
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.7
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    • pp.1-8
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    • 2019
  • Recently, an SSD with hybrid buffer memories is actively researching to reduce the overall latency in server computing systems. However, existing hybrid buffer policies caused many swapping operations in pages because it did not consider the overall latency such as read/write operations of flash chips in the SSD. This paper proposes the clock with hybrid buffer memories (CLOCK-HBM) for a new hybrid buffer policy in the SSD with server computing systems. The CLOCK-HBM constructs new policies based on unique characteristics in both DRAM buffer and NVMs buffer for reducing the number of swapping operations in the SSD. In experimental results, the CLOCK-HBM reduced the number of swapping operations in the SSD by 43.5% on average, compared with LRU, CLOCK, and CLOCK-DNV.