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The typical execution time is the following.
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We provide typical execution times for a single iteration of the IP algorithm and the number of iterations required for convergence in different situations.
As a reaction, it decides to execute actions that can reduce the typical query execution times (e.g., disabling other queries as discussed in Section 'Identification of candidate queries for disablement'. In the reflective control loop, the long term memory is taken into account to take proactive actions (i.e, before the execution of the actual queries).
By monitoring each query type, a specific model is built that represents the typical expected query execution time of each query type.
Typical applications for variable execution time scheduling include process scheduling in Real-Time Operating Systems such as Maruti, compiler scheduling, database transaction scheduling and automated machine control.
In the case of computers with 4 processors a typical improvement factor in the execution time is slightly above 3.
Unification, the fundamental operation in Prolog, can take up to 50% of the execution time of a typical Prolog system.
For comparison purposes, the execution time of four typical biometric kernels resolved by the FPBA were compared against the floating-point unit (FPU) provided by Xilinx.
Figure 7 shows the average execution time for the typical graph algorithms.
We compared the performances of the switching-algorithm when applied to a real large cancer genomics dataset, in terms of execution time on a typical desktop computer, by using different software implementations and two user-defined numbers of required switching-steps: our novel lower bound N and the empirical one suggested in (Milo et al., 2003), N′.
Several factorial experiments are performed to identify appropriate genetic algorithm parameters that produce the best results within a given execution time in the three typical cases with different configurations.
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