Caching Server

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Hu Qun-xiu - One of the best experts on this subject based on the ideXlab platform.

  • Pulling-Modal of Community Authorization Service
    Journal of Chinese Computer Systems, 2007
    Co-Authors: Hu Qun-xiu
    Abstract:

    This paper provided and implemented a pulling-model to some problems existed in current Community Authorization Service (CAS) pushing-model. In the pulling-model, a CAS Caching Server is introduced, and the resource providers (but not users)must search user′s authorization assertion from the CAS Caching Server to obtain final effective rights for users on the resource. The authentication steps how users require services on providers, and the core section of the pulling-model are described in detail. It is contrastively analyzed with pushing-modal from performance, security and dependability.

Yang Chang-xing - One of the best experts on this subject based on the ideXlab platform.

  • A Pulling-Model of Community Authorization Service
    Computer Technology and Development, 2006
    Co-Authors: Yang Chang-xing
    Abstract:

    In allusion to some questions existed in current community authorization service(CAS) pushing-model,a pulling-model is proposed.In the pulling-model,a CAS Caching Server is introduced;resource provider,but not users,require user's authorization assertion from the CAS Caching Server to obtain final effective rights for users on the resource,constrained with local authorization policies.The authentication steps how users require services on providers,are described in detail.It is contrastively analyzed with pushing-model from performance,security and dependability.

Zong Xiao-zhong - One of the best experts on this subject based on the ideXlab platform.

Kazutoshi Nishimura - One of the best experts on this subject based on the ideXlab platform.

  • Novel dynamic Caching for hierarchically distributed video-on-demand systems
    Multimedia Networks: Security Displays Terminals and Gateways, 1998
    Co-Authors: Kenta Ogo, Chikashi Matsuda, Kazutoshi Nishimura
    Abstract:

    It is difficult to simultaneously serve the millions of video streams that will be needed in the age of 'Mega-Media' networks by using only one high-performance Server. To distribute the service load, Caching Servers should be location near users. However, in previously proposed Caching mechanisms, the grade of service depends on whether the data is already cached at a Caching Server. To make the Caching Servers transparent to the users, the ability to randomly access the large volume of data stored in the central Server should be supported, and the operational functions of the provided service should not be narrowly restricted. We propose a mechanism for constructing a video-stream-Caching Server that is transparent to the users and that will always support all special playback functions for all available programs to all the contents with a latency of only 1 or 2 seconds. This mechanism uses Variable-sized-quantum-segment- Caching technique derived from an analysis of the historical usage log data generated by a line-on-demand-type service experiment and based on the basic techniques used by a time- slot-based multiple-stream video-on-demand Server.© (1998) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

N. A. Kalinina - One of the best experts on this subject based on the ideXlab platform.