English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

This paper addresses the issue of model establishment and performance control for nonlinear computing systems based on Hadoop-Mapreduce platform. The parameter mapred.map.tasks is selected as the control input data and the CPU usage is selected as the output data. By using least-squares principle, a Hammerstein model for this relationship is identified and validated. The control law consists of a nonlinear compensator and a PID feedback. By testing in Simulink, the Hammerstein model is verified appropriate and the designed nonlinear control drives the CPU usage to achieve the target value asymptotically.

Performance Control for Nonlinear Hadoop-Mapreduce Computing Systems