• Title/Summary/Keyword: Resource managment

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A Study on the RRMC Implementation for the Efficient Resource Management in DBS System (DBS 시스템에서 효율적인 자원 관리를 위한 RRMC 구현에 관한 연구)

  • Shin, Cheon-Sig;Kim, Shin-Hong
    • The Transactions of the Korea Information Processing Society
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    • v.4 no.12
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    • pp.3133-3138
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    • 1997
  • The Digital Broadcasting Satallite System consists of the Transmitter station, the Resource and Subscriber Management System, and the Receiver Test Unit. The RSMS consists or several modules such as Resource Main Module, Resource User Interface Module, Transmitter Station Interface Module, Receiver Test Unit Interface Module, Subscriber sales Outlets Module and Monitor & Control Module. In this paper we suppose the new RRMC Algorithms that is to manage efficiently the Resource and subscriber information in the Direct Broadcasting Satellite system based on client-sever features and demonstrates the implementation method of monitoring and control the system in real time. Also we explain the communication procedure between resource and subscriber managment and other equipment.

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A Survey on Predicting Workloads and Optimising QoS in the Cloud Computing

  • Omar F. Aloufi;Karim Djemame;Faisal Saeed;Fahad Ghabban
    • International Journal of Computer Science & Network Security
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    • v.24 no.2
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    • pp.59-66
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    • 2024
  • This paper presents the concept and characteristics of cloud computing, and it addresses how cloud computing delivers quality of service (QoS) to the end-user. Next, it discusses how to schedule one's workload in the infrastructure using technologies that have recently emerged such as Machine Learning (ML). That is followed by an overview of how ML can be used for resource management. This paper then looks at the primary goal of this project, which is to outline the benefits of using ML to schedule upcoming demands to achieve QoS and conserve energy. In this survey, we reviewed the research related to ML methods for predicting workloads in cloud computing. It also provides information on the approaches to elasticity, while another section discusses the methods of prediction used in previous studies and those that used in this field. The paper concludes with a summary of the literature on predicting workloads and optimising QoS in the cloud computing.

A Design and Implementation of Job Management Service on TIGRIS (TIGRIS 상에서 작업 관리 서비스의 설계 및 구축)

  • Myung, Hun Joo;Lee, Pilwoo
    • Proceedings of the Korea Contents Association Conference
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    • 2007.11a
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    • pp.582-585
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    • 2007
  • Grid is infrastructure that connect distrubuted resources or ones in various organizations and enable user to use them as a virtual enormous resources. Traditionally, Job Management Service in Grid plays a role of job submission window and job monitoring and a important part of Grid Services with Resource Information Service and Data Transfer & Management Service. In this paper, we describe a design and implementation of Job Managment Service on TIGRIS.

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Implementation of Bandwidth Broker and Router for End-to-end QoS in Differentiated Service Networks (종단간 QoS 보장을 위한 차별화 서비스 지원 대역 브로커 및 라우터 구현)

  • 최영수;박기현;이성협;이강원;채희성;한태만;조유제
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.40 no.12
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    • pp.125-135
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    • 2003
  • In this paper, we developmed and implemented router and bandwidth broker that provides end-to-end QoS in differentiated service IP networks. Our design goal is to provide end-to-end premium service using the EF PHB. The bandwidth broker and router were implemented in the FreeBSD 4.6 platform. For the DiffServ router, we implemented QoS daemon, rollback managment routine, monitoring, and COPS-PR client. Also, Ive implemented bandwith broker which has SLS and resource management function, and signaling protocols for interfacing intra-and inter-domain. On the testbed, we have validated and evaluated the performance of the implemented DiffServ router and bandwidth broker using the inter-domain signaling protocol client in MS Windows platform. The test results show that the end-to-end QoS can be guaranteed for the inter-domain diffServ by the implemented system.