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

Table 1

PSO parameter setting.

Swarm size	30
Iterations	20
Inertia	0.9
,	[1, 2]