z-logo
open-access-imgOpen Access
Real Time Scheduling for CPU and Hard Disk Requirements-Based Periodic Task with the Aim of Minimizing Energy Consumption
Author(s) -
Vahdaneh Kiani,
Zeynab Mohseni,
Amir Masoud Rahmani
Publication year - 2015
Publication title -
international journal of information technology and computer science
Language(s) - English
Resource type - Journals
eISSN - 2074-9015
pISSN - 2074-9007
DOI - 10.5815/ijitcs.2015.10.07
Subject(s) - computer science , energy consumption , scheduling (production processes) , task (project management) , power consumption , execution time , embedded system , cpu shielding , energy (signal processing) , central processing unit , hard disk drive performance characteristics , real time computing , parallel computing , power (physics) , operating system , mathematics , management , economics , ecology , operations management , physics , statistics , quantum mechanics , biology
−In recent years, with an increasing number of\udrequests, energy, power and temperature have been\udimportant keys in embedded systems, which decrease the\udlifetime of both CPUs and hard disks. The energy\udconsumption is an important issue in computer systems,\udparticularly real-time embedded systems. The frequency\udand the Revolutions Per Minute are major factors in the\udreduction of energy consumption in both processors and\udhard disk drives. Therefore, the main goal of this paper is\udto present a scheduling mechanism for a real time\udperiodic task that can save more energy. This mechanism\udis based on increasing, as much as possible, the execution\udtime of the CPU and/or the Read/Write time of the hard\uddisk without passing the task deadline. This will be done\udby dynamically changing the CPU frequency and/or the\udRPM of hard disk. Our experimental results demonstrate\udthat the proposed algorithm manages to lower energy\udconsumption by an average of 25% and to reduce the\udnumber of missed tasks by 80%

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom