• Title/Summary/Keyword: Distributed Processing

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The MAPN Modeling for the distributed Data Allocation based on Multiple Aspects (다중 측면 기반의 분산 데이터 할당을 위한 MAPN 모델링)

  • Park, Seong-Jin
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.3
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    • pp.745-755
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    • 2000
  • In designing distributed databases, DAP(Data Allocation Problem) is one of the key design issues. Because, however, most of previous researches on DAP have considered only cost aspect, they cannot increase the performance and availability and they are not proper to the system requiring high-availability or real-time processing. Therefore, we need a more formal data allocation model considering multiple aspects. In this paper, we propose the MAPN (Multiple Aspects Petri Net) modeling method for the distributed transaction modeling. The MAPN model, an extended classical petri net, is proposed for the formal modeling considering multiple aspects (cost, performance and availability) concurrently. We demonstrate that we can compose the valid DAP evaluation model considering not only cost but also performance and availability concurrently by using the MAPN structure and MAPN graph.

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The Remote Access Algorithm by Object Replication (객체 복제 기법에 의한 원격 접근 알고리즘)

  • Yun, Dong-Sik;Lee, Byeong-Gwan
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.3
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    • pp.799-807
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    • 2000
  • In this paper, object replication Client/server under distributed computing system is design and implementation. Today many end-users have a computer communication by using internet in the distributed system of client/server. If many users request services to a specific remote server, the server should have got a overhead for hat service processing, delayed the speed for replay, and bring a bottleneck in communication network. Therefore object replication method was proposed to solve this problems. The growth of internet works and distributed applications has increased the need for large scale replicated systems. However, existing replication protocols do not address scale and autonomy issues adequately. Further, current application protocol require consistency of different levels, and therefore should be the selection function of consistency in them, in order to have particular semantics of each level. In this paper, server overhead and bottleneck happening in remote procedure call be using server object replication. Therefore access transparency can be improved by sharing object duplicately. So it will Keep up with the consistency within the replicated objects.

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A Sharing Scheme for Connection Mamagement Objects in Different Distributed Processing Environments (이기종 분산처리환경상에서 연결관리 객체의 정보공유)

  • 신영석;오현주
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.22 no.4
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    • pp.793-803
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    • 1997
  • Open networking architecture is required to support new multimedia services as integrated functions of network management and service architecture. In this paper, we propose the methodology of building block modeling using object grouping concepts and the sharing scheme of different distributed processing environments based on open networking architecture. The building block has the functions of object management, security object instance registry and object mapping in object group. It is necessary for the connection management information to be shared on the interworking between two domains. We implemented and validated connection management functions using computational object modeling and building block modeling in different distributed processing environments.

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Distributed Processing Method of Hotspot Spatial Analysis Based on Hadoop and Spark (하둡 및 Spark 기반 공간 통계 핫스팟 분석의 분산처리 방안 연구)

  • Kim, Changsoo;Lee, Joosub;Hwang, KyuMoon;Sung, Hyojin
    • Journal of KIISE
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    • v.45 no.2
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    • pp.99-105
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    • 2018
  • One of the spatial statistical analysis, hotspot analysis is one of easy method of see spatial patterns. It is based on the concept that "Adjacent ones are more relevant than those that are far away". However, in hotspot analysis is spatial adjacency must be considered, Therefore, distributed processing is not easy. In this paper, we proposed a distributed algorithm design for hotspot spatial analysis. Its performance was compared to standalone system and Hadoop, Spark based processing. As a result, it is compare to standalone system, Performance improvement rate of Hadoop at 625.89% and Spark at 870.14%. Furthermore, performance improvement rate is high at Spark processing than Hadoop at as more large data set.

Real-Time IoT Big-data Processing for Stream Reasoning (스트림-리즈닝을 위한 실시간 사물인터넷 빅-데이터 처리)

  • Yun, Chang Ho;Park, Jong Won;Jung, Hae Sun;Lee, Yong Woo
    • Journal of Internet Computing and Services
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    • v.18 no.3
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    • pp.1-9
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    • 2017
  • Smart Cities intelligently manage numerous infrastructures, including Smart-City IoT devices, and provide a variety of smart-city applications to citizen. In order to provide various information needed for smart-city applications, Smart Cities require a function to intelligently process large-scale streamed big data that are constantly generated from a large number of IoT devices. To provide smart services in Smart-City, the Smart-City Consortium uses stream reasoning. Our stream reasoning requires real-time processing of big data. However, there are limitations associated with real-time processing of large-scale streamed big data in Smart Cities. In this paper, we introduce one of our researches on cloud computing based real-time distributed-parallel-processing to be used in stream-reasoning of IoT big data in Smart Cities. The Smart-City Consortium introduced its previously developed smart-city middleware. In the research for this paper, we made cloud computing based real-time distributed-parallel-processing available in the cloud computing platform of the smart-city middleware developed in the previous research, so that we can perform real-time distributed-parallel-processing with them. This paper introduces a real-time distributed-parallel-processing method and system for stream reasoning with IoT big data transmitted from various sensors of Smart Cities and evaluate the performance of real-time distributed-parallel-processing of the system where the method is implemented.

Structural Construction of MVC Applications using Distributed Object Composer (분산 객체 조립기를 이용한 MVC 응용의 구성적 작성)

  • Eum, Du-Heon
    • Journal of KIISE:Software and Applications
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    • v.26 no.11
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    • pp.1298-1305
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    • 1999
  • 네트워크 및 분산 처리 기술의 발달로 분산 환경에서 동작하는 응용 프로그램에 대한 생산성 향상이 요구되고 있다. 본 논문에서는 MVC(Model, View, Controller) 패턴을 기반으로 하는 분산 응용 프로그램의 생산성 향상을 위해, 조립식 분산 응용의 작성을 지원하는 분산 객체 조립기, DOC(Distributed Object Composer)를 소개한다. 분산 객체 조립성의 기반이 되는 DOC의 구성적{{) '전체'를 창조해 내기 위해 여러 요소들을 결합, 배치하여 하나의 예술작품을 성립시키는 방법. 모아서 조립한다는 의미.}} 인터페이스(Structural Interface)는 기존 객체지향 기술의 절차적 인터페이스(Procedural Interface)에 비해 콤포넌트 재사용성을 개선하고, 분산 응용의 신속한 개발을 지원하여, 소프트웨어의 생산성 및 확장성을 향상시킨다. 또한, DOC 방식으로 모델링하고 구현한 공급망 관리(Supply Chain Management: SCM) 응용 프로그램의 조립식 작성을 통해, DOC의 실시간 정보 처리 및 조립 기능을 보인다.DOC는 이질적인 통신 환경에서 클라이언트와 서버 객체간의 네트워크 투과성을 제공하는 미들웨어, CORBA를 기반으로 한다. 또한, 분산 객체들 간의 상호작용을 자동 처리하기 위해 Java의 관찰자/피관찰자(Observer/Observable)를 확장한 분산 관찰자/피관찰자 패턴을 정의하여 DOC와, 서버 및 클라이언트의 분산 응용 객체들을 정의하기 위한 인터페이스에 적용한다.Abstract Due to the availability of advances in network and distributed processing technologies, the enhanced productivity of application software that runs on distributed environment is demanded. In this paper, we introduce the Distributed Object Composer (DOC) that supports the structural composition of distributed applications for the enhanced productivity of MVC (Model, View, Controller) pattern-based application programs. The structural interface of DOC that is the basis for the composibility of distributed objects increases the reusability of software components and provides better software productivity and extendibility than the procedural interface of the traditional object-oriented technology by supporting rapid constructions of distributed applications. In this paper, we also discuss the real-time information processing and composibility features of DOC by applying the DOC mechanism to the Supply Chain Management (SCM) application.DOC is implemented using the CORBA middleware that supports the network transparency between client and server objects on heterogeneous communication environments. We apply the distributed Observer/Observable pattern that extends the Observer/Obseverable of Java to DOC itself and distributed client/server objects as their interface definitions for the automatic interactions of distributed objects.

Design and Control of Interleaved Buck Converter in High Power Applications

  • Kwon, Soon-Kurl;Saha, Bishwajit
    • Journal of the Institute of Convergence Signal Processing
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    • v.8 no.3
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    • pp.199-204
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    • 2007
  • This paper presents design of interleave configured dc-dc converter for high power distributed power system applications. The multi channel interleaving buck converter with small inductance has proved to be suitable for micro-grid, requiring medium output voltages, high output currents and fast transient response. Integrated magnetic components are used to reduce the size of the converter and improve efficiency. Unlike conventional methods, the distributed approach requires no centralized control, automatically accommodates varying numbers of converter cells, and is highly tolerant of subsystem failures. A general methodology for achieving distributed interleaving is proposed, along with a specific implementation approach. The design and simulation verification of switching frequency 10 kHz system is presented with interleaved clocking of the converter cells. The simulation (simulated by PSIM 6.1) results corroborate the analytical predictions and demonstrate the tremendous benefits of the distributed interleaving approach.

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Efficient Task Allocation Technique Using Resources' State Transition Probability Table (Volunteer Computing에서의 자원 상태전이확률테이블을 이용한 효율적인 작업 할당 기법)

  • Lee, Jaehyeck;Song, Chunggun;Lee, Bongwoo;Yu, Heonchang
    • Proceedings of the Korea Information Processing Society Conference
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    • 2017.11a
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    • pp.70-71
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    • 2017
  • Volunteer Computing은 대규모 프로젝트를 많은 분산된 데스크탑, 랩탑 PC, 그리고 스마트 폰과 같은 모바일 디바이스의 idle(유휴 상태)인 컴퓨팅 자원을 기여(Volunteer)받아 수행하는 환경이다. 그러나 기여된 컴퓨팅 자원이 idle과 used(사용 상태) 간의 상태전이가 빈번히 일어나거나, idle로 지속되는 시간이 짧은 자원의 경우, 프로젝트를 수행하는데 비효율적이다. 따라서 본 논문에서는 이러한 자원을 구분하고, 해당 자원의 다음 상태전이확률테이블을 계산하여 결과에 따라 해당 자원에 적합한 작업을 할당하는 방법을 제안한다.

Management of Distributed Nodes for Big Data Analysis in Small-and-Medium Sized Hospital (중소병원에서의 빅데이터 분석을 위한 분산 노드 관리 방안)

  • Ryu, Wooseok
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.05a
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    • pp.376-377
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    • 2016
  • Performance of Hadoop, which is a distributed data processing framework for big data analysis, is affected by several characteristics of each node in distributed cluster such as processing power and network bandwidth. This paper analyzes previous approaches for heterogeneous hadoop clusters, and presents several requirements for distributed node clustering in small-and-medium sized hospitals by considering computing environments of the hospitals.

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Adaptive Motion Vector Smoothing for Improving Side Information in Distributed Video Coding

  • Guo, Jun;Kim, Joo-Hee
    • Journal of Information Processing Systems
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    • v.7 no.1
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    • pp.103-110
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    • 2011
  • In this paper, an adaptive motion vector smoothing scheme based on weighted vector median filtering is proposed in order to eliminate the motion outliers more effectively for improving the quality of side information in frame-based distributed video coding. We use a simple motion vector outlier reliability measure for each block in a motion compensated interpolated frame and apply weighted vector median filtering only to the blocks with unreliable motion vectors. Simulation results show that the proposed adaptive motion vector smoothing algorithm improves the quality of the side information significantly while maintaining low complexity at the encoder in frame-based distributed video coding.