Storage capacity for EDF–ASAP algorithm in energy-harvesting systems with periodic implicit deadline hard real-time tasks

2018 ◽  
Vol 89 ◽  
pp. 10-17 ◽  
Author(s):  
Ehsan Ghadaksaz ◽  
Saeed Safari
Keyword(s):  
Energy Harvesting ◽  
Real Time ◽  
Storage Capacity ◽  
Harvesting Systems ◽  
Hard Real Time

Clairvoyance and online scheduling in real-time energy harvesting systems

2013 ◽  
Vol 50 (2) ◽  
pp. 179-184 ◽  
Author(s):  
Maryline Chetto ◽  
Audrey Queudet
Keyword(s):  
Energy Harvesting ◽  
Real Time ◽  
Online Scheduling ◽  
Harvesting Systems

ADAPTIVE FAULT-TOLERANT TASK SCHEDULING FOR REAL-TIME ENERGY HARVESTING SYSTEMS

2012 ◽  
Vol 21 (01) ◽  
pp. 1250004 ◽  
Author(s):  
LINJIE ZHU ◽  
TONGQUAN WEI ◽  
XIAODAO CHEN ◽  
YONGHE GUO ◽  
SHIYAN HU
Keyword(s):  
Fault Tolerance ◽  
Energy Harvesting ◽  
Real Time ◽  
Task Scheduling ◽  
Energy Efficient ◽  
Fault Tolerant ◽  
Multiprocessor System ◽  
Technology Scaling ◽  
Harvesting Systems ◽  
Important Design

Fault tolerance and energy have become important design issues in multiprocessor system-on-chips (SoCs) with the technology scaling and the proliferation of battery-powered multiprocessor SoCs. This paper proposed an energy-efficient fault tolerance task allocation scheme for multiprocessor SoCs in real-time energy harvesting systems. The proposed fault-tolerance scheme is based on the principle of the primiary/backup task scheduling, and can tolerate at most one single transient fault. Extensive simulated experiment shows that the proposed scheme can save up to 30% energy consumption and reduce the miss ratio to about 8% in the presence of faults.

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