Multi-objective fault-tolerant optimization algorithm for deployment of IoT applications on fog computing infrastructure

Abstract Nowadays, fog computing as a complementary facility of cloud has attracted great attentions in research communities because it extraordinary potential to provide resources and processing services requested for applications at the edge network near users. Recent researchers focus on how efficiently engage networks capabilities execution supporting IoT associated requirement. However, inefficient deployment applications’ components infrastructure results bandwidth resource wastage, maximum power consumption, unpleasant quality service (QoS) level. This paper considers reduction wastage regards application dependency their distributed deployment. On other hand, reliability is declined if an application’s are deployed single node sake consumption management viewpoint. Therefore, mechanism tackling point failure enhancement against presented. Then, formulated multi-objective optimization problem with minimization perspective both total latency between each pair applications. To solve this combinatorial problem, cuckoo search algorithm (MOCSA) validate work, assessed different conditions some state-of arts. The simulation prove amount 42%, 29%, 46%, 13%, 5% improvement proposed MOCSA terms average overall respectively MOGWO, MOGWO-I, MOPSO, MOBA, NSGA-II algorithms. Also, term about 43%, 28%, 41%, 30%, 32% respectively.