Security-Critical Energy-Aware Task Scheduling for Heterogeneous Real-Time MPSoCs in IoT

2020 ◽  
Vol 13 (4) ◽  
pp. 745-758 ◽  
Author(s):  
Junlong Zhou ◽  
Jin Sun ◽  
Peijin Cong ◽  
Zhe Liu ◽  
Xiumin Zhou ◽  
...  
2011 ◽  
Vol E94-D (4) ◽  
pp. 822-832
Author(s):  
Dejun QIAN ◽  
Zhe ZHANG ◽  
Chen HU ◽  
Xincun JI

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Weizhe Zhang ◽  
Hucheng Xie ◽  
Boran Cao ◽  
Albert M. K. Cheng

Energy consumption in computer systems has become a more and more important issue. High energy consumption has already damaged the environment to some extent, especially in heterogeneous multiprocessors. In this paper, we first formulate and describe the energy-aware real-time task scheduling problem in heterogeneous multiprocessors. Then we propose a particle swarm optimization (PSO) based algorithm, which can successfully reduce the energy cost and the time for searching feasible solutions. Experimental results show that the PSO-based energy-aware metaheuristic uses 40%–50% less energy than the GA-based and SFLA-based algorithms and spends 10% less time than the SFLA-based algorithm in finding the solutions. Besides, it can also find 19% more feasible solutions than the SFLA-based algorithm.


2014 ◽  
Vol 71 (1) ◽  
pp. 45-66 ◽  
Author(s):  
Seyedmehdi Hosseinimotlagh ◽  
Farshad Khunjush ◽  
Rashidaldin Samadzadeh

Energy-aware real-time scheduling is gaining attention in recent years owing to environmental concerns and applications in numerous fields. System reliability also gets affected adversely with increasing energy dissipations posing serious challenges before the researchers. Keeping these in view, in recent times researchers have diverted to combining issues of fault-tolerance and energy efficiency. In literature, DVFS and DPM, most commonly used techniques for power management in task scheduling, are often combined with Primary/Backup technique to achieve fault tolerance against transient and permanent faults. Optimal algorithms, Earliest deadline first (EDF) and Rate-Monotonic (RM), meant for scheduling dynamic and fixed priority tasks respectively, have mainly been analyzed using a dual-processor approach for fault-tolerance and energy efficiency. In this paper, to handle higher workload of fixed-priority real-time tasks, energy-aware fault-tolerant scheduling algorithms are proposed for multiprocessor systems with balanced and unbalanced number of main and auxiliary processors. Simulations over extensive task-sets indicate that balanced approach is more energy-efficient than the unbalanced one.


2005 ◽  
Author(s):  
Vishnu Swaminathan ◽  
Krishnendu Chakrabarty

Author(s):  
Chenchen Fu ◽  
Gruia Calinescu ◽  
Kai Wang ◽  
Minming Li ◽  
Chun Jason Xue

2005 ◽  
Vol 1 (3) ◽  
pp. 226-237 ◽  
Author(s):  
Chantal Ykman-Couvreur ◽  
Francky Catthoor ◽  
Johan Vounckx ◽  
Andy Folens ◽  
Filip Louagie

2020 ◽  
Vol 28 ◽  
pp. 100413
Author(s):  
Mahmoud Hasanloo ◽  
Mehdi Kargahi ◽  
Shahrokh Jalilian

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