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This is a strictly a hierarchical parallel model in which a master process manages the global information including, e.g., the pheromone matrix or best-so-far solution.
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The benchmark tool has three components: a set of N consumer processes that are responsible for inducing the memory thrashing, a measurement process that collects performance data, and a master process that manages the other processes.
The master process is responsible for managing the overall problem information and constructing a complete solution from the partial solutions reported by the slaves.
The master process we have constructed to manage the workflow in Fig. 1 has been assembled out of tools created by Kepler Project developers.
Input data is split into multiple pieces which are managed by a master process.
The following steps comprise the typical MapReduce model [ 25 ]: 1. Input data is split into multiple pieces which are managed by a master process.
Using process variant 4 as master process has similar time and quality effects as the original master process.
Second, we challenged the pre-selected master process.
Moreover, process variants must be split into context-specific process variants and a standardized master process. .
It also splits process variants into context-specific process variants and a standardized master process.
Moreover, process variants must be split into context-specific process variants and a standardized master process.
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