Page 759 - Cloud computing: From paradigm to operation
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Video processing and storage                                       4


            3.2     Terms defined in this Recommendation

            This Recommendation defines the following term:
            3.2.1   cloud storage: A data storage model for enabling service users to have ubiquitous, convenient and
            on-demand  network  access  to  a  shared  pool  of  configurable  storage  resources,  which  can  be  rapidly
            provisioned and released with minimal management effort or service-provider interaction. In cloud storage
            systems, the physical and virtual resources can be dynamically assigned and reassigned according to user
            demand.


            4       Abbreviations and acronyms
            This Recommendation uses the following abbreviations and acronyms:

            AS          Application System
            CU          Customer Unit

            DVR         Digital Video Recorder
            IPU         Intelligent Premises Unit
            MCU         Mobile Customer Unit

            MSU         Media Storage Unit
            NVR         Network Video Recorder

            PU          Premises Unit
            VS          Visual Surveillance

            VSCS        Visual Surveillance Cloud Storage


            5       Conventions
            In this Recommendation:
            –       The keywords "is required to" indicate a requirement which must be strictly followed and from
                    which no deviation is permitted if conformance to this recommendation is to be claimed.
            –       The keywords "is recommended" indicate a requirement which is recommended but which is not
                    absolutely required. Thus this requirement need not be present to claim conformance.


            6       Overview
            Currently,  large-scale  visual  surveillance  system  deployment  has  contributed to  the  explosive  growth of
            surveillance video data. Moreover, the massive amount of surveillance video data contains a lot of valuable
            information which can be mined to provide more intelligent services. Attention is needed to the efficient
            storage of video data and fast access to information of interest to users.

            When the surveillance industry changes to all IP network usage, the network video recorder (NVR), as a main
            component for surveillance video storage, will gradually replace the existing digital video recorder (DVR).
            However, an NVR which is installed on single physical server may reach the maximum storage or throughput
            limitation due to predefined resource limitations. In addition, the current NVR-based storage model does not
            efficiently support the analysis and mining of the massive amount of video data.














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