Page 352 - Cloud computing: From paradigm to operation

1 Framework and requirements for cloud computing

Table II.1 – Continuous product improvement

Figure

Pre-conditions The game company has to plan the analytical solution to support application development.
(optional) The solution utilization can vary depending on the new products being launched, so the
investment in a solution may prove to be ineffective.

Post-conditions The game company can define analytical campaigns for each product and optimize the
(optional) analysis effectiveness. Only currently required capabilities are used from the BDaaS solution
in a pay-as-you-go model.
Derived requirements – Data collection (clause 8.1, requirements 1, 3, 5)
– Data pre-processing (clause 8.2, requirements 3, 4)
– Data storage (clause 8.3, requirements 1, 2, 3, 4, 6, 7)
– Data analysis (clause 8.4, requirements 5, 10, 11)
– Data visualization (clause 8.5, requirements 1, 3, 4, 5)
– Data security and protection (clause 8.7, requirement 4)

Table II.2 – Virtualized distributed cluster service

Title Virtualized distributed cluster service
Description A virtual distributed cluster service is a typical web service which makes it easy to have a
cluster of machines quickly and cost-effectively processing vast amounts of data
provided by a CSP.
The virtual distributed cluster service uses distributed clustering software as a
framework, to distribute the customers' data and processing across a resizable cluster of
virtual machine instances in cloud resource pools. Three steps that are often included by
the CSC using a virtual cluster service are:
1) Upload data. The CSC:BDSU uploads the data that needs to be analysed to the cloud
storage space that belongs to the CSC:BDSU. In addition the CSC:BDSU could use the
data provided by the CSN:DP.
2) Create virtual distributed cluster. The CSC:BDSU creates and configures the
distributed cluster by specifying data inputs, outputs, cluster size, security settings
and other necessary parameters.

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