Multiple Frequency Selection in DVFS-Enabled Processors to Minimize Energy Consumption
Nikzad Babaii Rizvandi, Albert Y. Zomaya, Young Choon Lee, Ali, Javadzadeh Boloori, Javid Taheri

TL;DR
This paper introduces MFS-DVFS, a novel technique for reducing energy consumption in DVFS-enabled processors by executing tasks with multiple frequencies to optimize slack time utilization.
Contribution
It proposes a new slack reclamation method using multiple frequency selection to minimize energy, outperforming previous approaches.
Findings
Achieves energy savings close to the optimal
Effective on both random and real-world task graphs
Outperforms previous slack reclamation techniques
Abstract
In this chapter we focus on slack reclamation and propose a new slack reclamation technique, Multiple Frequency Selection DVFS (MFS-DVFS). The key idea is to execute each task with a linear combination of more than one frequency such that this combination results in using the lowest energy by covering the whole slack time of the task. We have tested our algorithm with both random and real-world application task graphs and compared with the results in previous researches in [9] and [12-13]. The experimental results show that our approach can achieve energy almost identical to the optimum energy saving.
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Taxonomy
TopicsCloud Computing and Resource Management · IoT and Edge/Fog Computing · Caching and Content Delivery
