Paper Info
Title
Power Management in Real Time Embedded Systems through Online and Adaptive Interplay of DPM and DVFS Policies
Abstract
This paper considers the problem of power/energy minimization for periodic real-time tasks that are scheduled over multiprocessor platforms that have dynamic power management (DPM) and dynamic voltage & frequency scaling (DVFS) capabilities. Early research reports that while both DPM and DVFS policies perform well individually for a specific set of conditions, they often outperform each other under different workload and/or architecture configuration. Thus, no single policy fits perfectly all operating conditions. Instead of designing new policies for specific operating conditions, this paper proposes a generic power management scheme, called the Hybrid Power Management (HyPowMan) scheme. This scheme takes a set of well-known existing (DPM and DVFS) policies, each of which performs well for a given set of conditions, and adapts at runtime to the best-performing policy for any given workload. We performed experiments with state-of the-art DPM and DVFS techniques and results show that HyPowMan scheme adapts well to the changing workload and always achieves overall energy savings comparable to the best-performing policy at any point in time.
Year
DOI
Venue
2010
10.1109/EUC.2010.35
EUC
Keywords
Field
DocType
real time systems,real time,embedded systems,energy minimization,machine learning,energy efficient,time frequency analysis,operant conditioning
Dynamic voltage scaling,Power management,Computer science,Workload,Real-time computing,Hybrid power,Multiprocessing,Dynamic frequency scaling,Frequency scaling,Energy consumption,Embedded system
Conference
Citations 
PageRank 
References 
23
1.02
18
Authors
3
Name
Order
Citations
PageRank
Muhammad Khurram Bhatti1496.06
Cécile Belleudy28412.98
Michel Auguin323835.10