Two-level scheduling

Heuristics

Scheduling (production processes)

Mathematics

Job shop scheduling

Schedule

Dynamic priority scheduling

Operating system

Algorithm

Distributed computing

Mathematical optimization

Metaheuristic

Rate-monotonic scheduling

Flow shop scheduling

Artificial intelligence

Computer science

Cloud computing

Particle swarm optimization

Journal of King Saud University - Computer and Information Sciences

With the increasing of the scale of task or request and dynamic nature of cloud resources, it gives significant issues of load balancing, resource utilization, task allocation, and system performance and so on. To solve those problems many researchers have applied different types of scheduling techniques. But meta-heuristic scheduling is the most accomplish preferred outcomes over conventional heuristics and hybrid scheduling. Among various meta-heuristics algorithms, PSO is a famous metaheuristic technique to solved optimization issue. PSO is appropriate for dynamic task scheduling, workflow scheduling and load balancing. PSO has a strong worldwide searching capability toward the start of the run and a nearby pursuit close to the furthest limit of the run. Therefore, it has been generally utilized in different applications and has made incredible progress. In this paper a systematically reviews is done on different types of particle swarm optimization (PSO) based scheduling strategy with set of challenges and future direction.

A survey on PSO based meta-heuristic scheduling mechanism in cloud computing environment