GDL

Energy Efficient Scheduling For Real-Time Embedded Systems With Precedence And Resource Constraints

ISSN : 2230 - 9616
Undergraduate Theses from gdlhub / 2017-08-14 11:52:34
By : Santhi Baskaran and P. Thambidurai,, International Journal of Computer Science, Engineering and Applications
Created : 2012-07-02, with 1 files

Keyword : Distributed Real-time System, DVS, Dynamic Slack, Energy efficient Scheduling
Subject : Energy Efficient Scheduling For Real-Time Embedded Systems With Precedence And Resource Constraints
Url : http://airccse.org/journal/ijcsea/papers/2212ijcsea16.pdf
Document Source : Internet

Energy consumption is a critical design issue in real-time systems, especially in battery- operated systems.


Maintaining high performance, while extending the battery life between charges is an interesting challenge


for system designers. Dynamic Voltage Scaling and Dynamic Frequency Scaling allow us to adjust supply


voltage and processor frequency to adapt to the workload demand for better energy management. Usually,


higher processor voltage and frequency leads to higher system throughput while energy reduction can be


obtained using lower voltage and frequency. Many real-time scheduling algorithms have been developed


recently to reduce energy consumption in the portable devices that use voltage scalable processors. For a


real-time application, comprising a set of real-time tasks with precedence and resource constraints


executing on a distributed system, we propose a dynamic energy efficient scheduling algorithm with


weighted First Come First Served (WFCFS) scheme. This also considers the run-time behaviour of tasks, to


further explore the idle periods of processors for energy saving. Our algorithm is compared with the


existing Modified Feedback Control Scheduling (MFCS), First Come First Served (FCFS), and Weighted


scheduling (WS) algorithms that uses Service-Rate-Proportionate (SRP) Slack Distribution Technique. Our


proposed algorithm achieves about 5 to 6 percent more energy savings and increased reliability over the


existing ones.

Description Alternative :




Energy consumption is a critical design issue in real-time systems, especially in battery- operated systems.


Maintaining high performance, while extending the battery life between charges is an interesting challenge


for system designers. Dynamic Voltage Scaling and Dynamic Frequency Scaling allow us to adjust supply


voltage and processor frequency to adapt to the workload demand for better energy management. Usually,


higher processor voltage and frequency leads to higher system throughput while energy reduction can be


obtained using lower voltage and frequency. Many real-time scheduling algorithms have been developed


recently to reduce energy consumption in the portable devices that use voltage scalable processors. For a


real-time application, comprising a set of real-time tasks with precedence and resource constraints


executing on a distributed system, we propose a dynamic energy efficient scheduling algorithm with


weighted First Come First Served (WFCFS) scheme. This also considers the run-time behaviour of tasks, to


further explore the idle periods of processors for energy saving. Our algorithm is compared with the


existing Modified Feedback Control Scheduling (MFCS), First Come First Served (FCFS), and Weighted


scheduling (WS) algorithms that uses Service-Rate-Proportionate (SRP) Slack Distribution Technique. Our


proposed algorithm achieves about 5 to 6 percent more energy savings and increased reliability over the


existing ones.

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