• Title/Summary/Keyword: 인트라 클러스터

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Cluster Routing for Service Lifetime of Wireless Multimedia Sensor Networks (무선 멀티미디어 센서 네트워크의 서비스 수명을 위한 클러스터 라우팅)

  • Lee, Chongdeuk
    • Journal of Digital Convergence
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    • v.11 no.5
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    • pp.279-284
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    • 2013
  • This paper proposes a new cluster-based routing protocol for assuring the service lifetime of wireless multimedia sensor networks. The proposed protocol performs the intra-cluster routing and inter-cluster routing to reduce the energy consumption and service lifetime in the wireless sensor multimedia computing environment, and the proposed mechanism enhances the routing reliability, and it minimizes the packet loss, overhead, and energy consumption. The simulation results show that the proposed mechanism outperforms DSR and AODV.

Advanced Push-Pull Messages for Internode Communication of Commodity SMP Clusters (범용 SMP 클러스터의 인터노드 통신을 위한 향상된 Push-Pull 메시지)

  • 김태훈;김성천
    • Proceedings of the Korean Information Science Society Conference
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    • 2000.10c
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    • pp.624-626
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    • 2000
  • 대칭형 멀티프로세서 시스템으로 구성된 클러스터의 메시지 전송 방법은 인트라노드인 프로세서 통신과 인터노드인 시스템 통신을 동시에 수행하므로, 노드들간의 통신 성능을 위한 메모리 버퍼의 사용과 버퍼 사이의 데이터 중복 복사가 인트라와 인터노드 사이의 통신 불균형을 가져온다. 푸쉬-풀 메시지의 버퍼 사용 기법을 제한하고 메시지 전송 수행단계를 수정하여 고속 네트웍을 위한 인터노드의 통신 불균형을 감소시켰고, 주소 전환과 전송-승인 신호 중첩 기법을 고속 네트웍에 적합하도록 변형하여 기존의 푸쉬-풀 메시지 기법과 비교, 분석하였다. 제안된 기법은 인터노드 사이의 통신 지연을 약 7~18% 감소시켰다.

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Resource Clustering Simulator for Desktop Virtualization Based on Intra Cloud (인트라 클라우드 기반 데스크탑 가상화를 위한 리소스 클러스터링 시뮬레이터)

  • Kim, Hyun-Woo
    • KIPS Transactions on Software and Data Engineering
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    • v.8 no.1
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    • pp.45-50
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    • 2019
  • With the gradual advancement of IT, passive work processes are automated and the overall quality of life has greatly improved. This is made possible by the formation of an organic topology between a wide variety of real-life smart devices. To serve these diverse smart devices, businesses or users are using the cloud. The services in the cloud are divided into Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS). SaaS runs on PaaS, and PaaS runs on IaaS. Since IaaS is the basis of all services, an algorithm is required to operate virtualization resources efficiently. Among them, desktop resource virtualization is used for resource high availability of unused state time of existing desktop PC. Clustering of hierarchical structures is important for high availability of these resources. In addition, it is very important to select a suitable algorithm because many clustering algorithms are mainly used depending on the distribution ratio and environment of the desktop PC. If various attempts are made to find an algorithm suitable for desktop resource virtualization in an operating environment, a great deal of power, time, and manpower will be incurred. Therefore, this paper proposes a resource clustering simulator for cluster selection of desktop virtualization. This provides a clustering simulation to properly select clustering algorithms and apply elements in different environments of desktop PCs.