• Journal of KIISE:Computing Practices and Letters
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• v.8 no.4
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• pp.411-422
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• 2002

Recently, there have been active researches about the VPCS (Virtual Parallel Computing System) based on multiple agents. The PVCS uses personal computers or workstations that are dispersed all over the internet, rather than a high-cost supercomputer, to solve complex problems that require a huge number of calculations. It can be made up with either homogeneous or heterogeneous computers, depending on resources available on the internet. In this paper, we propose a new method in order to distribute worker agents and work packages efficiently on the VPCS based on the IBM Aglets. The previous methods use mainly the master-slave pattern for distributing worker agents and work packages. However, in these methods the workload increases dramatically at the central master as the number of agents increases. As a solution to this problem, our method appoints worker agents to distribute worker agents and workload packages. The proposed method is evaluated in several ways on the VPCS, and its results are improved to be worthy of close attention as compared with the previous ones.

• Journal of Korea Multimedia Society
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• v.3 no.3
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• pp.320-332
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• 2000

Web consists of the grand virtual system which is made of all connected computers network. We can solve the huge problem which requires high quality in cost performance and powerful computing power to use a numerous idle state system on internet as process it parallel. However, we have to consider heterogeneous computing resources, accessibility, and reliability to carry out parallel system on global environment, not network but whole Internet. In this paper, We the WebImg system which has the power of web computing, and show the flexible task allocation strategy in heterogeneous hosts. Also, we evaluate its performance, moreover the proposed task allocation strategy supplies fault tolerance by controlling host situation at any time.

• Journal of the Korean Data and Information Science Society
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• v.10 no.2
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• pp.473-483
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• 1999

We introduce a way to construct a supercomputing capable system with some networked PCs, running the Linux operating system and computing power comparable with expensive commercial workstations, and with the Parallel Virtual Machine (PVM) software which enables one to control the total CPUs and memories of the networked PCs. By benchmarking the system using a PVM parallel program, we find that the system's parallel efficiency is close to 90 %.

• The KIPS Transactions:PartB
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• v.13B no.6 s.109
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• pp.615-624
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• 2006

The objective of this paper is to implement parallel multi-layer ANN(Artificial Neural Network) simulator based on the mobile agent system which is executed in parallel in the virtual parallel distributed computing environment. The Multi-Layer Neural Network is classified by training session, training data layer, node, md weight in the parallelization-level. In this study, We have developed and evaluated the simulator with which it is feasible to parallel the ANN in the training session and training data parallelization because these have relatively few network traffic. In this results, we have verified that the performance of parallelization is high about 3.3 times in the training session and training data. The great significance of this paper is that the performance of ANN's execution on virtual parallel computer is similar to that of ANN's execution on existing super-computer. Therefore, we think that the virtual parallel computer can be considerably helpful in developing the neural network because it decreases the training time which needs extra-time.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10a
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• pp.13-15
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• 2003

이 연구는 이동 에이전트 시스템에 기반한 가상의 병렬분산 컴퓨팅 환경에서 병렬로 수행되는 인공신경망 시뮬레이터를 구현하는 것을 목적으로 하며, 학습세션 수준에서 병렬로 학습하는 병렬 인공신경망 시뮬레이터의 성능을 대표적인 벤치마크 문제인 NetTalk을 대상으로 평가한 결과, 개발한 시뮬레이터가 상당히 효과적임을 알 수 있다.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2011.11a
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• pp.282-285
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• 2011

클라우드 컴퓨팅에 있어서 이질적 컴퓨팅 자원들을 소프트웨어에 의해 논리적 방법으로 제어할 수 있도록 하는 가상화와 대용량 데이터의 분산병렬처리가 핵심적인 기술이다. 재난의 예방 및 대응을 위해 다양한 센서들이 개발되고 있으며, 재난관리 어플리케이션들은 센서들에 의해 획득된 대용량의 데이터를 상호 관련성에 따라 신속하게 처리할 것이 요구된다. 이 논문에서는 클라우드 컴퓨팅을 이용한 재난관리시스템 구축을 위해 다양한 이질적 센서들을 가상화하여 센서 클라우드 환경을 구성하는 방안을 제시한다.

• Journal of KIISE:Computing Practices and Letters
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• v.6 no.6
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• pp.555-568
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• 2000

The World Wide Web has become the largest virtual system that is almost universal in scope. In recent research, it has become effective to utilize idle hosts existing in the World Wide Web for running applications that require a substantial amount of computation. This novel computing paradigm has been referred to as the advent of global computing. In this paper, we implement and propose a mobile object-based global computing framework called Tiger, whose primary goal is to present novel object-oriented programming libraries that support distribution, dispatching, migration of objects and concurrency among computational activities. The programming libraries provide programmers with access, location and migration transparency for distributed and mobile objects. Tiger's second goal is to provide a system supporting requisites for a global computing environment - scalability, resource and location management. The Tiger system and the programming libraries provided allow a programmer to easily develop an objectoriented parallel and distributed application using globally extended computing resources. We also present the improvement in performance gained by conducting the experiment with highly intensive computations such as parallel fractal image processing and genetic-neuro-fuzzy algorithms.

• Journal of KIISE:Computing Practices and Letters
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• v.5 no.2
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• pp.196-208
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• 1999

본 논문에서는 시뮬레이션 속도 향상을 위하여 VHDL(Very high speed integrated circuit Hardware Description Language)로 기술된 디지털 회로 시뮬레이션을 위한 병렬 분산 VHDL 시뮬레이터(Parallel Distributed VHDL Simulator : PDVS)를 개발한다. 개발된 프로그램을 대규모 병렬 프로그래밍 환경에서도 수행될 수 있도록 하기 위해서 표준 통신 라이브러리인 MPI(Message Passing Interface)를 이용하여 구현된다. PDVS 의 전체적인 시스템구성도, PDVS 에 사용된 시뮬레이션 프로토콜, 전역가상시간 계산 메카니즘 및 논리적 프로세스의 내부 구성요소들간의 관계와 PDVS의 제어 흐름도를 제시한다. 그리고 본 연구에서는 병렬 분산 시뮬레이션의 병렬성 정도를 분석하기 위하여 디지털 회로의 크기 변화와 처리되는 사건수(grain size)의 변화에 따른 성능 결과를 제시한다. 이 연구에서 4배크기의 디지털 회로를 적용한 경우는 프로세서를 12개 사용할 때에 8배의 속도향상을 얻었다. 그리고 처리되는 사건의 수가 200인 경우는 프로세서를 32개 사용할 때에 12배의 속도향상을 얻었다. 또한 동일한 방법을 SGI Origin 2000, Cray T3e 및 IBM SP2에 적용함으로서 그 성능의 간접적인 비교결과도 제시한다.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10a
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• pp.522-525
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• 2006

그리드 기반 분산객체지향 가상환경 시스템인 DOVE-G는 많은 리소스를 요구로 하는 분산된 그리드 컴퓨팅 어플리케이션에서 효율적인 병렬프로그래밍 환경을 지원하는데 이에 웹서비스를 이용해 다양한 어플리케이션에서 고급 그리드 컴퓨팅 환경을 제공할 수 있다. 본 논문에서는 웹서비스를 이용해 DOVE-G의 implementation을 모르더라도 DOVE-G 서비스를 쉽게 이용할 수 있도록 해주는 Interface Object와 Agent Object 두 개의 DOVE-G Object를 이용한 통신기법을 제시한다.

• KIISE Transactions on Computing Practices
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• v.24 no.3
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• pp.129-137
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• 2018

NVMe(Non-Volatile Memory Express) SSD(Solid State Drive) is a high-performance storage that makes use of flash memory as a storage cell, PCIe as an interface and NVMe as a protocol on the interface. It supports multiple I/O queues which makes it feasible to process parallel-I/Os on multi-core environments and to provide higher bandwidth than SATA SSDs. Hence, NVMe SSD is considered as a next generation-storage for data-center and cloud computing system. However, in the virtualization system, the performance of NVMe SSD is not fully utilized due to the bottleneck of the software I/O stack. Especially, when it uses I/O stack of the hypervisor or the host operating system like Xen and KVM, I/O performance degrades seriously due to doubled-I/O stack between host and virtual machine. In this paper, we propose a new I/O engine, called Direct-AIO (Direct-Asynchronous I/O) engine, that can access NVMe SSD directly for I/O performance improvements on QEMU emulator. We develop our proposed I/O engine and analyze I/O performance differences between the existed I/O engine and Direct-AIO engine.