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1                                    Framework and requirements for cloud computing


                                                         Use case
             Post-conditions     With platform capabilities type:
             (optional)          –  CSN develops a product or service with carrier-grade video call capabilities provided by
                                    the CaaS CSP.
                                 –  CSC can call the device and control it remotely by using SDK provided by the CSP.
                                 With application capabilities type:
                                 –  CSC can access all kinds of communications applications with consistent unified user-
                                    interface and user-experience over multiple devices, such as wire-line telephone,
                                    mobile phone, IMS device, tablet and PC.
             Requirements        –  Communication capabilities openness
                                 –  Communication software development support
                                 –  Unified communication

            I.7     BDaaS general use case

                                                         Use case

             Name                BDaaS general use case
             Abstract            A BDaaS CSP provides big data services through cloud computing. The BDaaS CSP uses the
                                 cloud computing capabilities to implement various big data capabilities such as collecting
                                 data, managing data storage, managing data privacy, managing data pre-processing,
                                 providing data integration, managing data provenance, analyzing data and visualizing data.

             Roles               CSC, CSP, CSN
             Figure













             Pre-conditions      –  The CSN provides appropriate access methods of data to the BDaaS CSP.
             (optional)
             Post-conditions
             (optional)
             Requirements        –  Resource clustering
                                 –  Data collection
                                 –  Data storing
                                 –  Data analysing
                                 –  Data visualizing
                                 –  Data managing

















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