Open AccessMulti-Core Platforms Energy Saving Scheduling Algorithm
Author(s) -
P. Anuradha
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/981/3/032024
Subject(s) - computer science , architecture , energy consumption , scheduling (production processes) , distributed computing , power consumption , embedded system , efficient energy use , the internet , energy (signal processing) , computer architecture , algorithm , real time computing , power (physics) , operating system , engineering , art , operations management , physics , statistics , mathematics , quantum mechanics , electrical engineering , visual arts
In the world of embedded architecture, reliable performance and energy consumption are two most dominant parameters that need to be studied. When an embedded architecture is used as an Internet of objects, these two specifications play a major role in achieving good performance. Many algorithms for power consumption have been developed in the architecture and systems installed. This document provides an overview of previous research on energy savings through practical scheduling algorithms. It provides algorithms for efficient energy planning, contained in the literature on multimedia and multimedia platforms. An important part of the research described in this paper is the real-time energy-saving algorithms of multi-core platforms.