Task Scheduling in Fog computing using hybrid GA and Success rate based PSO (GASPSO)

Increase usage of IoT applications has increases the demand of fast processing and huge storage. Cloud computing is a promising technology that meet the demand of enormous storage of applications but fails in providing fast processing due to latency which is inadmissible in latency sensitive applications. Fog computing as an emerging technology is a boon for before mentioned applications but provide limited storage. Integration of cloud and fog is suitable platform for wide range of applications due to huge storage and computing capability of cloud and low latency characteristics of Fog computing. This paper presents hybrid GASPSO algorithm to schedule task with the aim to minimize makespan and cost for task execution. Simulation is performed in MATLAB 2022a to corroborate the effectiveness of proposed algorithm.