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Energy-aware scheduling of malleable HPC applications using a Particle Swarm optimised greedy algorithm.
Briag Dupont
Nesryne Mejri
Georges Da Costa
Published in:
Sustain. Comput. Informatics Syst. (2020)
Keyphrases
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greedy algorithm
energy aware
particle swarm
high performance computing
particle swarm optimization
particle swarm optimization algorithm
optimization method
multi objective
swarm intelligence
energy efficiency
evolutionary algorithm
computing systems
differential evolution
greedy algorithms
pso algorithm
massively parallel
genetic algorithm
grid computing
scheduling problem
dynamic programming
worst case
wireless sensor networks
parallel computing
optimization methods
squeaky wheel
fitness function
objective function
greedy strategy
computing resources
data center
power consumption
energy consumption
convergence speed
fault tolerance
optimization problems
search algorithm
artificial intelligence
influence spread
lower bound
expert systems
sensor networks
parallel machines
distributed computing
routing protocol