Advances, Systems and Applications
Table 1 Meta-Heuristics used in cloud computing
| Â | Research | Optimization technique used | Objective |
|---|---|---|---|
Single Objective | [38] | Firefly algorithm | Reduce make-span |
[22] | Moth Search Algorithm (MSA) and Differential Evolution (DE) algorithms | ||
Multiobjective | [39] | ACO (Ant Colony algorithm) and Cuckoo search | |
[40] | Ant Colony algorithm | Performance and Cost | |
[41] | PSO (Particle Swarm Optimization) | Load balancing and better QoS | |
[42] | Best resource utilization, Average cost, the average time to complete a task, and average energy usage | ||
[43] | Cost Minimisation | ||
[44] | MOPSO (Multi-Objective Particle Swarm Optimization) and MOGA (Multiobjective Genetic Algorithm) | Reducing job response time and make-span, Provider and consumer cost | |
[45] | MOCSO (Multi-objective Cuckoo Search Optimization) | Reducing Make-span | |
[46] | ACO, PSO, and GA | Optimizes the make-span and CPU time and lowers the overall operational cost |