So, it is possible to predict its performance in future executions and, thus, to prepare achievable plans and to improve the process continuously.
It is necessary to carry out statistical process control in order to know the processes behavior, determine their performance in previous executions, and predict their performance in current and future projects; verifying if they are able to achieve the established goals [4, 22].
However, the complexity introduced requires a high computational power, leading to very low performances, in terms of execution times.
Performance benchmarks demonstrate model execution in around 100 milliseconds on consumer hardware.
To demonstrate its functionality, we selected and ran some of the main predicates required by the winning solution of the Netflix Grand Prize and measured the performance impact of the execution in a encrypted version of the dataset.
Therefore, we find F l u χ a compelling effort, within the current state of the art, to improve dataflows execution, in a performance-improved, resource efficient and correct manner and, thus, deliver higher QoS to end-users and drive costs of operation down.
Performance is comparable with query execution in the Protégé tool, once loading and reasoning have been completed.
This strategy allows the BRAMS execution in the shortest time possible, ensuring application performance.
As it gives better performance in between RTO executions, it also leads to a higher overall profit.
We present the relevant publications that show the use and benefit of using parallel computing techniques coupled with genomic applications with the goal of improving the performance in large-scale comparative genomic executions.
