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where: %CsCD is the percentage of consumption of the horizontal project; NbInstceCD is the number of instances measured for the cross-department (horizontal) project; NbInstceT is the number of instances total measured for all domains. The percentage calculated is applied to the total amount of the costs, and, depending on allocation keys (such as revenues of the domain, number of users, number of computing sites or production centers), distributed over the complete set of eligible domains. Allocating costs in horizontal (cross-department) projects to the complete set of eligible domains and not just to the domains in operation at the instant T is an incentive model that favors the use of the application integration solution. Concerning new projects, estimations of recurring costs can be based on projections provided by the domains, in a way that rapidly communicates the future costs to account for. 10.4.2. Cost allocation linked to usage and services (developed model) The economic model presented above can be enriched to take account of new factors that influence recurring solution costs. Two new factors appear pertinent. 10.4.2.1. Level of service requested by the domains A domain which uses the solution solely for transporting dataflows generates lower recurring costs than a domain which uses the solution for transport, transformation and routing. Cost allocation could therefore be calculated taking account of the service levels called on by a domain. 10.4.2.2. Service contract or Service Level Agreement (SLA) Non-stop service coverage is more costly than 5/7 service coverage during traditional business hours. Cost allocation could therefore also be calculated taking the SLA into consideration. 10.4.2.3. Principles of calculation Taking account of these two supplemental factors, this model for calculating cost allocation can be completed with a notation principle that evaluates each of the factors that must be considered.
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As illustrative examples, we provide below the following notations for selected factors. Notation linked to traffic The notation can be based on a grid that shows different ranges for the number of dataflows. The following table presents a case in point.
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Flow range 1 to 100 100 to 500 500 to 1,000 > 1,000 Note 1 2 3 4
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Table 10.1. Grid bracketing the number of dataflows
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Notation linked to processes The following grid, also given as a case in point, presents a scoring based on the number of task instances.
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Number of task instances < 5,000 Between 5,000 and 50,000 Between 50,000 and 500,000 > 500,000 Note 1 2 3 4
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Table 10.2. Grid bracketing the number of task instances
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Notation linked to service levels The notation grid for service levels could be as follows.
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Services used Transport Transport Transformation Transport Transformation BAM Supervision Transport Transformation BAM Supervision BPM Orchestration Table 10.3. Notation grid for service levels 8 5 Note 1 3
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Notation linked to the SLA The notation grid for the service level agreement could show the following.
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SLA 5-day Coverage (8:00 to 18:00) 7-day Coverage (8:00 to 18:00) Non-stop Coverage Note 1 3 5
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Table 10.4. Notation grid for SLA
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10.4.2.4. Equation for Restricted Allocation (ERA) For each domain, an evaluation of each factor must be established that applies the notation grids. The rule for calculating the percentage for billing recurring costs back to the domain is then the following:
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10.4.2.5. Equation of General Allocation (EGA) To be even more specific, the notation principle could take account of weighting that gives precedence to one factor or another. For example, because the SLA is an important factor in evaluating recurring costs, it would weigh more strongly in the notation principle. The rule of calculation thus becomes the following:
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The value of the weights, as well as of the notation grids, must be set judiciously by observing recurring costs depending on the factors applied to structure those costs. 10.4.2.6. Impact of allocation types: case of an automobile manufacturer Context With more than 20,000 connected partners, the integration focus for this automobile manufacturer is on its B2B problem. The reactivity required to process the demand definitely presupposes a high, practically non-stop coverage rate. Moreover, an important criterion involves knowing what the traffic is in a number of dataflows to or from these partners, given that the manufacturer uses this traffic to bill its partners for services.
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