scholarly journals Compiler-Directed Energy Reduction Using Dynamic Voltage Scaling and Voltage Islands for Embedded Systems

2013 ◽  
Vol 62 (2) ◽  
pp. 268-278 ◽  
Author(s):  
Ozcan Ozturk ◽  
Mahmut Kandemir ◽  
Guangyu Chen
Keyword(s):  
Embedded Systems ◽  
Voltage Scaling ◽  
Dynamic Voltage Scaling ◽  
Energy Reduction ◽  
Dynamic Voltage ◽  
Directed Energy ◽  
Voltage Islands

scholarly journals Efficient Scheduling of Scientific Workflows with Energy Reduction Using Novel Discrete Particle Swarm Optimization and Dynamic Voltage Scaling for Computational Grids

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
M. Christobel ◽  
S. Tamil Selvi ◽  
Shajulin Benedict
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Computation Time ◽  
Voltage Scaling ◽  
Dynamic Voltage Scaling ◽  
Energy Reduction ◽  
Discrete Particle Swarm Optimization ◽  
Swarm Optimization ◽  
Discrete Particle ◽  
Dynamic Voltage

One of the most significant and the topmost parameters in the real world computing environment is energy. Minimizing energy imposes benefits like reduction in power consumption, decrease in cooling rates of the computing processors, provision of a green environment, and so forth. In fact, computation time and energy are directly proportional to each other and the minimization of computation time may yield a cost effective energy consumption. Proficient scheduling of Bag-of-Tasks in the grid environment ravages in minimum computation time. In this paper, a novel discrete particle swarm optimization (DPSO) algorithm based on the particle’s best position (pbDPSO) and global best position (gbDPSO) is adopted to find the global optimal solution for higher dimensions. This novel DPSO yields better schedule with minimum computation time compared to Earliest Deadline First (EDF) and First Come First Serve (FCFS) algorithms which comparably reduces energy. Other scheduling parameters, such as job completion ratio and lateness, are also calculated and compared with EDF and FCFS. An energy improvement of up to 28% was obtained when Makespan Conservative Energy Reduction (MCER) and Dynamic Voltage Scaling (DVS) were used in the proposed DPSO algorithm.

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