Sentence examples for mapping tasks for from inspiring English sources

Our focus has been on locating the equivalent concept pairs between two ontologies, leaving the other mapping tasks for future work, such as the discovery of parent-child concept pairs, the finding of sibling concept pairs, and so on.

Ontology alignment consists of many mapping tasks, for example, the discovery of parent-child concept pairs, the finding of sibling concept pairs, etc. OAANN concentrates on finding pairs of equivalent concepts as the first step.

Finally, special care must be given when the number of map tasks for a job changes as it can lead to different I/O monetary cost (see Eq. 13 in Section 4.2) than the initially computed (i.e., via the algorithm proposed in Section 4.4).

At each iteration, our MapReduce implementation generates different number of map tasks for different input size.

As can be observed, the runtime roughly halves with doubling of the number of map tasks and the speedup becomes linear for larger inputs (e.g. 398× on 400 map tasks for 64K spectra).

After selecting an appropriate map task for the requesting mapper, the scheduler sends back information on the task that the mapper must execute.

After selecting an appropriate map task for the requesting mapper, the server sends back information on the task that the mapper must execute.

To show the actual data transfer rate for every node, Fig. 6b shows the average number of blocks to be transferred on the data node performing the actual map task for different sizes of data, and average number of blocks of one record is (4).

We report the percent agreement for all three mapping tasks, and a kappa statistic for the item mapping.

The DG scenario is a potent example of the need for a RESWO system to incorporate dynamic strategies for mapping tasks onto multiple DCIs; in the DG case to consider dynamically augmenting the volatile (albeit cheap) DCI with more reliable (albeit expensive) resources – that could be derived from the cloud.

In [22], Lakra and Yadav, introduced a multi-objective task scheduling algorithm for mapping tasks to VMs via non-dominated sorting after quantifying the Quality of Service values of tasks and VMs.