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Conversely, the best case execution of ApproMap occurs with equivalent datasets containing bnodes with varying numbers of connections and without any directly connected bnodes.
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The worst and best case execution time (WCET and BCET) often play an integral role in this relation especially the former, which has applications in traditional methods for verification of schedulability such as response time analysis [1].
The complete timing model is a network of timed automata which directly facilitates safe estimates of worst and best case execution time to be determined using the Uppaal model checker.
The experimental results exhibit improvements for commonly used similarity thresholds of between 40% and 80%, in the best case decreasing the execution time up to 11% and increasing the number of filtered candidates up to 63%.
First, for each strategy A, B, C, we compute the best case and worst-case execution time of k instances of repeated consensus, based on two parameters α and β: The parameter α is the one used in Algorithm 5.
This is the best case scenario since the data owner has as much control of the execution machine as possible, so our framework proposal can be applied in its full capacity.
With the use of custom instructions, an improvement was reached of 23%, on average, but close to a 55% improvement, in the best case, which supposes a great amount of savings in time spent for execution.
The proposed distributed PF achieves a total execution time of (2M/K + K + 2 + TL) in the best case to (2M/K + K + M + 2 + TL) in the worst case.
The lower bound is trivial to compute as the best case is when all n tasks are equally distributed among the k available resources and require approximately the same execution time.
The best case was to maintain.
The best case is microfinance.
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