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Big data - Concept and application for telecommunications 3
Table I.4 – Use case – Reuse data processing methods
Title Reusing and automating data processing methods with big data provenance information
Pre-conditions BDSP stores provenance information about the analysed result data.
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Post-
conditions
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Derived – Extracting workflow (see clause 8.2);
requirement – Retrieving workflow (see clause 8.2);
– Data analysis automation (see clause 8.2);
– Providing data list on function (see clause 8.2);
– Providing function list on data (see clause 8.2).
Table I.5 – Use case – Managing personal information
Title Managing personal information
Description A data analyst (at a BDC) requests the provenance information on 'data 1' to BDSP. At this time,
BDSP:
– traces history of 'data 1';
– checks whether each data includes personal information and find out 'data 3' includes
personal information;
– checks BDC's access right on 'data 3'.
If BDC has the access right on 'data 3', BDSP aggregates provenance units and responds it. If not,
BDSP responds the provenance information excluding provenance unit 3 or abstracts the
provenance information based on a predefined policy and responds it.
Roles/Sub roles – BDC
– BDSP
Figure
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Pre-conditions
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Post-conditions
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Static data – Data provenance, data formats and trust 117