Although the program achieved considerable performance when dealing with large-size matrices, with the high overhead of MapReduce paradigm, it may be less efficient than existing implementations to deal with small-size matrices.
The contributions of this work allow the developers of dependable SPLs: (i) to consider the potential effects of variable features on the exception flow of SPL products; (ii) to define/use specific variability implementation techniques to deal with such effects; and (iii) to make more informed decisions when defining the possible SPL products.
And it is special and important because of the very high risks that large projects (and even small ones) experience, so we decided to examine the role of value engineering in the process of project implementation and to deal with it step by step in our project, hence the importance of beginning to define value engineering and its position among the different nations.
An actual implementation, however, has to deal with many additional nonidealities due to automatic gain control, carrier offset estimation, channel estimation, and lack of perfect synchronization.
An algorithmic implementation is presented to deal with several responses in mixtures problems, without theoretical limits on the number of responses or on the factors to be blended.
The approach warrants further research in the area to provide scalable parallel computing implementation of QAPgrid to deal with distances matrices between hundreds of thousands of objects in, typically, sets of thousands of different clusters.
An adaptive implementation is used to deal with data non-stationarity.
According to Gonzalez and Glantz (2013), implementation efforts need to deal with opposition to the law in order to be fully effective.
Our data also suggest the need for improved, target-group-specific prevention measures, as well as the effective implementation of aftercare to deal with the violence experienced by employees in the German healthcare and welfare systems.
Two studies [ 2, 3] have classified mappers using a wide variety of features that include: the type of data, their application, the sequencing platform, the read length, the allowed error rate, parallel implementation, the ability to deal with multi-mapped reads (i.e. reads aligned to multiple locations), the input and output formats, and the available parameters.
