A Review on Task Scheduling in Cloud Computing using parallel Genetic Algorithm
Nitesh Bharot, Shalini Shukla · 2020 International Conference on Computing and Information Technology (ICCIT-1441) · 2020
This Cloud computing (CC) infrastructure has many issues including scheduling, budgeting & load balancing (LB). Among them, the biggest challenge for load balancing is a cloud platform. In task scheduling environment generally, the occurrence of load imbalance tends to uncertainty and complexity. Cloud computing is growing Internet-based computing platform & innovative that is emerging & one of its biggest tasks. The goal is to use resources efficiently & decrease resource consumption in the cloud environment. This can be achieved by increasing the LB rate when selecting the best resources for low work failure rates with low lead times. This paper discusses load balancing based on advanced genetic algorithms in the cloud computing platform.