Scheduling Algorithm for Real-Time Operating Systems Using ACO

Author(s):  
A Shah ◽  
K Kotecha
2019 ◽  
Author(s):  
Abdul Salam ◽  
Sohail Abbas ◽  
Yousaf Khan ◽  
Sanaul Haq ◽  
Saeed Ullah Jan

2011 ◽  
Vol 219-220 ◽  
pp. 40-44
Author(s):  
Kun Shang ◽  
Huan Ding

Real-Time operating systems not only request the logical correctness, but also request the correct computing results in a set time and the instant response to the real-time tasks. Therefore scheduling algorithms of real-time operating systems become an important measure to determine the real-time capability of a system. In this paper, we discuss the dynamic priority scheduling algorithm –Priority Inheritance Scheduling Algorithm. Then we analyze the algorithm from two aspects: description and schedulability.


Author(s):  
Mohammed Mahfoudi ◽  
Moulhime El Bekkali ◽  
Abdellah Najid ◽  
Mohamed El Ghazi ◽  
Said Mazer

2009 ◽  
Vol 20 (10) ◽  
pp. 2628-2636 ◽  
Author(s):  
Jian WANG ◽  
Jian-Ling SUN ◽  
Xin-Yu WANG ◽  
Shen-Kang WANG ◽  
Jun-Bo CHEN

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Roberto Rodriguez-Zurrunero ◽  
Ramiro Utrilla ◽  
Elena Romero ◽  
Alvaro Araujo

Wireless Sensor Networks (WSNs) are a growing research area as a large of number portable devices are being developed. This fact makes operating systems (OS) useful to homogenize the development of these devices, to reduce design times, and to provide tools for developing complex applications. This work presents an operating system scheduler for resource-constraint wireless devices, which adapts the tasks scheduling in changing environments. The proposed adaptive scheduler allows dynamically delaying the execution of low priority tasks while maintaining real-time capabilities on high priority ones. Therefore, the scheduler is useful in nodes with rechargeable batteries, as it reduces its energy consumption when battery level is low, by delaying the least critical tasks. The adaptive scheduler has been implemented and tested in real nodes, and the results show that the nodes lifetime could be increased up to 70% in some scenarios at the expense of increasing latency of low priority tasks.


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