• Journal of the Korea Society for Simulation
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• v.8 no.1
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• pp.35-49
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• 1999

The CC-NUMA based, distributed shared memory is an emerging architecture for multiprocessor computer systems because of its scalability and easy of programming. In this paper, we analyzed performance of a ring-based, CC-NUMA multiprocessor computer system using a commercial workload targeted for popular OLTP applications. Based on the traces collected from real machines, the characteristics of the commercial workload could be obtained. The simulation results showed that the bottleneck on the ring could be effectively removed by using a dual ring structure. We believe our simulation methodology and results will help us to design better multiprocessor computer systems for commercial application domains.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04a
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• pp.70-72
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• 2003

소프트웨어 분산공유메모리 시스템의 성능이 높아짐에 따라 최근에는 큰 규모의 클러스터 상에서 사용되는 경우가 많아졌다. 그러나 시스템 규모가 커지면서 고장이 발생하는 가능성도 높아졌다. 시스템의 가용성을 높이기 위하여 고장 허용 기능을 제공하는 분산공유메모리 시스템이 요구되었으며 체크포인팅과 더불어 메시지 로깅에 대한 많은 연구가 이루어져 왔다. 본 논문에서는 고속의 네트웍을 이용하여 원격 노드의 메모리에 로깅하는 방범과 복구 방법을 제안하고 구현을 통하여 성능을 보인다. 원격 로깅은 디스크 접근을 요구하지 않으므로 오버헤드가 적으며 제한적으로 다중 노드의 고장을 허용한다.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04a
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• pp.76-78
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• 2003

클러스터 시스템의 규모가 커짐에 따라 소프트웨어 분산공유메모리 시스템의 고장 발생 확률은 점차 증가하고 있다. 그래서 최근에는 소프트웨어 분산공유메모리 시스템에 고장 허용 기능을 추가하는 연구가 활발히 이루어지고 있다. 연구의 초점은 소프트웨어 분산공유메모리 시스템이 정상 실행을 하는 동안 고장 허용 기능을 추가로 지원하면서 발생하는 오버헤드를 줄이는데 있다. 본 논문은 고장 허용 기능을 위해 원격 로깅 기법을 사용하는 소프트웨어 분산공유메모리 시스템에서 로그를 이용함으로써 전체적인 성능 향상을 기대한다.

• Proceedings of the Korean Information Science Society Conference
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• 2001.04a
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• pp.706-708
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• 2001

분산공유메모리의 성능향상을 위한 연구가 많이 진행되고 있다. 홈 기반의 프로토콜은 분산 공유메모리의 가장 큰 성능 저하 요인인 외부통신비용을 획기적으로 줄임으로써 어느 정도의 괄목할 만한 결과를 보여 주고 있다. 본 논문은 홈기반 프로토콜의 적은 통신량과 신속한 자료의 저장 및 삭제능력에 기반한 결함 허용 시스템을 제안하며, 이러한 구현이 전체 시스템에 어느 정도의 영향을 미치는지 실험한다.

• Proceedings of the Korea Contents Association Conference
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• 2018.05a
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• pp.533-534
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• 2018

이 논문에서는 클러스터의 다수 노드의 메모리를 블록 스토리지로 가상화하는 분산 인-메모리 스토리지 기술을 개발한다. 이때 클러스터를 구성하는 어떤 노드가 고장이 나더라도 지속적으로 스토리지에 접근할 수 있는 내장애성을 갖도록 한다. 또한, 실험을 통해서 개발한 분산 인-메모리 스토리지의 성능을 입증한다.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2003.11a
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• pp.259-264
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• 2003

In this paper, web based monitoring systems are implemented using embedded Linux. The external equipment is controlled via HTTP protocol and web browser program. HTTP protocol is ported into Linux. A micro web server program and external equipment control program are installed on-board memory using CGI to be accessed by web browser. Experimental result of the proposed web based monitoring systems can be used in automation systems and remote distributed control via internet using web browser.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06d
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• pp.124-126
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• 2006

Mobile Ad hoc networking is an emerging technology and in these days many applications are being developed to run on these networks. In these networks lookup services are very important because all nodes do not have same resources in term of memory and computing power. Nodes need to use different services offered by different servers. Reliable and efficient scheme should be available for lookup services due to limited bandwidth and low computing power of devices in mobile ad hoc networks. Due to mobility and rapid change in network topology, lookup mechanism used in wired network is not appropriate. Service discovery mechanism can be divided into two main categories Centralized and Distributed. Centralized mechanism is not reliable as there is no central node in these networks. Secondly centralized mechanism leads toward single point failure. We can handle the service discovery mechanism by distributing server's information to each node. But this approach is also not appropriate due to limited bandwidth and rapid change in network. In this paper, we present reliable lookup service scheme which is based on distributed mechanism. We are not using replication approach as well due to low bandwidth of wireless networks. In this scheme service discovery mechanism will be handled through different lookup servers. Reliability is the key feature of our proposed scheme.

• Journal of Korea Multimedia Society
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• v.18 no.9
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• pp.1098-1104
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• 2015

With the widespread use of smartphones and IoT (Internet of Things), data are being generated on a large scale, and there is increased for the analysis of such data. Hence, distributed processing systems have gained much attention. Hadoop, which is a distributed processing system, saves the metadata of stored files in name nodes; in this case, the main problems are as follows: the memory becomes insufficient; load occurs because of massive small files; scheduling and file processing time increases because of the increased number of small files. In this paper, we propose a solution to address the increase in processing time because of massive small files, and thus improve the processing performance, using the Reuse JVM method provided by Hadoop. Through environment setting, the Reuse JVM method modifies the JVM produced conventionally for every task, so that multiple tasks are reused sequentially in one JVM. As a final outcome, the Reuse JVM method showed the best processing performance when used together with CombineFileInputFormat.

• KIISE Transactions on Computing Practices
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• v.24 no.3
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• pp.105-112
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• 2018

As data size increase, a single database is not enough to serve current volume of tasks. Since data is partitioned and stored into multiple databases, analysis should also support parallelism in order to increase efficiency. However, traditional analysis requires data to be transferred out of database into nodes where analytic service is performed and user is required to know both database and analytic framework. In this paper, we propose an efficient way to perform K-means clustering algorithm inside the distributed column-based database and relational database. We also suggest an efficient way to optimize K-means algorithm within relational database.

• Korean Journal of Computational Design and Engineering
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• v.16 no.3
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• pp.236-245
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• 2011

Many researchers have recently studied multi-level formulation strategies to solve the MDO problems and they basically distributed the coupling compatibilities across all disciplines, while single-level formulations concentrate all the controls at the system-level. In addition, approximation techniques became remedies for computationally expensive analyses and simulations. This paper studies comparisons of the MDO methods with respect to computing performance considering both conventional sequential and modem distributed/parallel processing environments. The comparisons show Individual Disciplinary Feasible (IDF) formulation is the most efficient for sequential processing and IDF with approximation (IDFa) is the most efficient for parallel processing. Results incorporating to popular design examples show this finding. The author suggests design engineers should firstly choose IDF formulation to solve MDO problems because of its simplicity of implementation and not-bad performance. A single drawback of IDF is requiring more memory for local design variables and coupling variables. Adding cheap memories can save engineers valuable time and effort for complicated multi-level formulations and let them free out of no solution headache of Multi-Disciplinary Analysis (MDA) of the Multi-Disciplinary Feasible (MDF) formulation.