The Science and Information (SAI) Organization
  • Home
  • About Us
  • Journals
  • Conferences
  • Contact Us

Publication Links

  • IJACSA
  • Author Guidelines
  • Publication Policies
  • Digital Archiving Policy
  • Promote your Publication
  • Metadata Harvesting (OAI2)

IJACSA

  • About the Journal
  • Call for Papers
  • Editorial Board
  • Author Guidelines
  • Submit your Paper
  • Current Issue
  • Archives
  • Indexing
  • Fees/ APC
  • Reviewers
  • Apply as a Reviewer

IJARAI

  • About the Journal
  • Archives
  • Indexing & Archiving

Special Issues

  • Home
  • Archives
  • Proposals
  • Guest Editors
  • SUSAI-EE 2025
  • ICONS-BA 2025
  • IoT-BLOCK 2025

Future of Information and Communication Conference (FICC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Computing Conference

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Intelligent Systems Conference (IntelliSys)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Future Technologies Conference (FTC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact
  • Home
  • Call for Papers
  • Editorial Board
  • Guidelines
  • Submit
  • Current Issue
  • Archives
  • Indexing
  • Fees
  • Reviewers
  • Subscribe

DOI: 10.14569/IJACSA.2020.0111161
PDF

Enhanced Method to Stream Real Time Data in IoT using Dynamic Voltage and Frequency Scaling with Memory

Author 1: H. A. Hashim

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 11, 2020.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

Abstract: DVFS (Dynamic Voltage and Frequency Scaling) is a popular CPU (Central Processing Unit) level voltage frequency scale technology based on the application precedence. To motivate recurrence / voltage scaling as a feasible tool for energy productivity, i) basic workloads should ensure that memory recurrence scaling has an impact with insignificant degradation and (ii) that there is an enormous open door for reduction of power in this work. Therefore, if memory recurrence is that, two limiting forces on energy efficiency impact all items in an anomalous state. The competence depends on both power and runtime, because energy is the result of time and energy. The reduction in control alone will increase skills. However, further discussions at lower control work focuses are conducted, expanding operating times and energy in this way. There is a bloating edge that decreases the recurrence / voltage of memory in this way. This shows further that the recurrence of statically-scaling memory has little impact on many lower workloads because of recurrent effects only the idling of transmission interchange, part of the memory dormancy. This will be shown. Inspire in this paper, the scaling of memory recurrence will affect frame power (show a systemic model to simplify the scaling of voltage) and therefore electricity. It presents DVFS memory computing in real time. The DVFS technology is popular for measuring the frequency of voltage according to the CPU level applications. In this work, an enhanced DVFS with memory technique proposal is used to decrease energy use and improve performance at the memory level.

Keywords: Dynamic voltage; frequency scaling; central processing unit

H. A. Hashim, “Enhanced Method to Stream Real Time Data in IoT using Dynamic Voltage and Frequency Scaling with Memory” International Journal of Advanced Computer Science and Applications(IJACSA), 11(11), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0111161

@article{Hashim2020,
title = {Enhanced Method to Stream Real Time Data in IoT using Dynamic Voltage and Frequency Scaling with Memory},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0111161},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0111161},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {11},
author = {H. A. Hashim}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

IJACSA

Upcoming Conferences

IntelliSys 2025

28-29 August 2025

  • Amsterdam, The Netherlands

Future Technologies Conference 2025

6-7 November 2025

  • Munich, Germany

Healthcare Conference 2026

21-22 May 2026

  • Amsterdam, The Netherlands

Computing Conference 2026

9-10 July 2026

  • London, United Kingdom

IntelliSys 2026

3-4 September 2026

  • Amsterdam, The Netherlands

Computer Vision Conference 2026

15-16 October 2026

  • Berlin, Germany
The Science and Information (SAI) Organization
BACK TO TOP

Computer Science Journal

  • About the Journal
  • Call for Papers
  • Submit Paper
  • Indexing

Our Conferences

  • Computing Conference
  • Intelligent Systems Conference
  • Future Technologies Conference
  • Communication Conference

Help & Support

  • Contact Us
  • About Us
  • Terms and Conditions
  • Privacy Policy

© The Science and Information (SAI) Organization Limited. All rights reserved. Registered in England and Wales. Company Number 8933205. thesai.org