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Cost-Based Optimization of Integration Flows - Datenbanken ...

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6 On-Demand Re-<strong>Optimization</strong><br />

(a) Loaded Data Size Variations<br />

(b) Input Data Size Variations<br />

(c) <strong>Optimization</strong> Time<br />

(d) Execution Time<br />

(e) Cumulative <strong>Optimization</strong> Time<br />

(f) Cumulative Execution Time<br />

Figure 6.15: Complex-Flow Comparison Scenario<br />

default values, we used a number <strong>of</strong> workload shifts wc = 20, an input data size d = 4,<br />

and an optimization interval <strong>of</strong> ∆t = 30 s. Figure 6.16 illustrates the results.<br />

First, we varied the number <strong>of</strong> workload shifts wc ∈ [0, 30]. The unoptimized execution<br />

shows almost constant execution time (Figure 6.16(a)) except the configuration<br />

with no workload shifts because the plan is not optimal for the whole scenario, while for<br />

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