Sentence examples for data processing workload from inspiring English sources

In order to generate higher resolution maps, the biggest challenge is to handle the significantly increased data processing workload.

Important requirement for future workflow systems is the ability to distribute data processing workload with frameworks such as Hadoop and Spark.

An epidemiological study that generates a large numbers of observations, collected over an extended period of time, from several centers increases the data processing workload and the likelihood for discrepancies between variables.

On the other hand, the Internet surveys have several advantages, including the ability to collect large volumes of data in a very short period of time, the ability to substantially reduce the data processing workload and the relatively low costs [ 15].

The trends concerning application of multicore processors are diverse; however, these trends are generalized as consolidation of functionality on embedded systems and increased data processing capabilities enabling increased workload and analysis.

Both technologies are here to stay, with Spark being adopted for a broad set of use cases, including pipelined data processing and parallelizable data-science workloads.

"Cloud Bigtable is much the opposite — is designed for larger companies and enterprises where extensive data processing is required, and where workloads are more complex," O'Conner tells me.

Table 1 Common settings of all simulation scenarios Total processing workload of input data 100,000 task slot × time units Number of VM's 500 Number of map task slots on each VM 2 (Hadoop Default) Duplication factor of data blocks 3 (Hadoop Default) Speculation No.

Our optimization cri- teria include: balancing the total processing workload with regards to data dependencies, actors idle time minimization and reduction of data exchanges between processing units.

Its longer term aim is to reduce the workload of accountants by 80percentthroughgh further "process automation and digital data processing".

GPU computing [ 8] is well adapted to the throughput-oriented workload problems that are characteristic of large-scale data processing.