TY - JOUR
T1 - An effcient power-saving scheduling algorithm
AU - Cho, Keng Mao
AU - Tsai, Chun Wei
AU - Yang, Chu Sing
PY - 2016/1/1
Y1 - 2016/1/1
N2 - Dynamic voltage and frequency scaling to reduce power consumption in embedded systems is a promising research domain. Most of these approaches usually use the ratio between the deadline of a task and the worst case execution time of the task to modify the processor's operating frequency. As a result, an analysis of the given application must be conducted to obtain some parameters for the algorithm. Since countless applications are available for portable devices, it is difficult to implement these approaches on portable devices. To deal with these issues, an efficient algorithm for reducing power consumption that can be easily implemented on an actual hardware device is presented. The proposed algorithm combines priority-based scheduling and earliest deadline first scheduling to schedule real-time tasks and normal tasks. It then uses a periodic routine to check whether the system has satisfied any conditions that require it to modify the operating mode. The experiment results show that the proposed algorithm can reduce energy consumption by up to 45.1%.
AB - Dynamic voltage and frequency scaling to reduce power consumption in embedded systems is a promising research domain. Most of these approaches usually use the ratio between the deadline of a task and the worst case execution time of the task to modify the processor's operating frequency. As a result, an analysis of the given application must be conducted to obtain some parameters for the algorithm. Since countless applications are available for portable devices, it is difficult to implement these approaches on portable devices. To deal with these issues, an efficient algorithm for reducing power consumption that can be easily implemented on an actual hardware device is presented. The proposed algorithm combines priority-based scheduling and earliest deadline first scheduling to schedule real-time tasks and normal tasks. It then uses a periodic routine to check whether the system has satisfied any conditions that require it to modify the operating mode. The experiment results show that the proposed algorithm can reduce energy consumption by up to 45.1%.
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U2 - 10.6138/JIT.2016.17.1.20120506
DO - 10.6138/JIT.2016.17.1.20120506
M3 - Article
AN - SCOPUS:84958185993
VL - 17
SP - 63
EP - 71
JO - Journal of Internet Technology
JF - Journal of Internet Technology
SN - 1607-9264
IS - 1
ER -