Developing Frequency Falling EDF with Relatively Greater Power Efficiency and Low Deadline Miss Ratio

Mohammad Nowsin Amin Sheikh; Nazmul Hossain; Ripon Kumar Saha

Developing Frequency Falling EDF with Relatively Greater Power Efficiency and Low Deadline Miss Ratio

Mohammad Nowsin Amin Sheikh * §

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Nazmul Hossain

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Ripon Kumar Saha

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atikulprogramming

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§ Jessore University of Science & Technology

Developing Frequency Falling EDF with Relatively Greater Power Efficiency and Low Deadline Miss Ratio

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Abstract

Many scheduling algorithms are available for the real-time system, which maintains hard deadline to solve the issues related to the time that is critical for scheduling in real time system and to provide a better system design in real-time system avoiding poor and erroneous choices for scheduling algorithms. The system is based on a real-time deals with the resource to ensure maximum performance and utilization in real-time. Processor availability plays the main role in choosing the best scheduling algorithm for a real-time system. DVFS is being used extensively for the technique of energy management. The aim of DVFS platform is to minimize energy consumption. In this paper, we will give a new algorithm for DVFS and compare the power consumption and deadline miss ratio of other RT-DVFS algorithm with our algorithm. There are many real time dynamic voltage frequency scheduling (DVFS) algorithms.

References

20 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Mohammad Nowsin Amin Sheikh, Nazmul Hossain, Ripon Kumar Saha, atikulprogramming. 2017. "Developing Frequency Falling EDF with Relatively Greater Power Efficiency and Low Deadline Miss Ratio". Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 17 (GJRE Volume 17 Issue F3).

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GJRE Volume 17 Issue F3

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords

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Classification

GJRE-F Classification FOR Code: 090699

Submission ReceivedDecember 10, 2016
Peer Review Double Blind
Handling Editor
Accepted January 4, 2017
Published January 15, 2017

Version of record

v1.2

Issue date

July 24, 2017

Language

English

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Article Matrices

Total Score: 104

Country: Bangladesh

Subject: Global Journal of Research in Engineering

Authors: Mohammad Nowsin Amin Sheikh, Nazmul Hossain, Ripon Kumar Saha, Atikul Islam Atik (PhD/Dr. count: 0)

View Count (all-time): 531

Total Views (Real + Logic): 1414

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Publish Date: 2017 01, Sun

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Total Views: 1.4K

Total Downloads: 123

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