Current consumption of cloud computing has attracted more and more attention of scholars. The research on
Hadoop as a cloud platform and its energy consumption has also received considerable attention from scholars. This paper
presents a method to measure the energy consumption of jobs that run on Hadoop, and this method is used to measure the
effectiveness of the implementation of periodic tasks on the platform of Hadoop. Combining with the current mainstream
of energy estimate formula to conduct further analysis, this paper has reached a conclusion as how to reduce energy consumption
of Hadoop by adjusting the split size or using appropriate size of workers (servers). Finally, experiments show
the effectiveness of these methods as being energy-saving strategies and verify the feasibility of the methods for the
measurement of periodic tasks at the same time.
Implementation and Evaluation of Mixed-Criticality Scheduling Approaches for Periodic Tasks
