Enhanced Butterfly Optimization Algorithm for Load Balancing Scheme Concerning Latency
Sachin Gajanan Kulkarni · Journal of Networking and Communication Systems (JNACS) · 2021
It is seen that cloud computing shows high performance in the scenario of storage, calculation as well as networking services from the current research studies however, IoT still suffers from maximum processing latency, position awareness, as well as minimum mobility sustain.In order to address the aforesaid problems, this work combines softwaredefined networking as well as fog computing.Prominently, the major contribution of fog computing is to extend the computing as well as storing to the edge of the network which would reduce the latency besides the mobility aid.Furthermore, this work aspires to integrate a novel optimization scheme in order to identify the issue in Load balancing regarding the minimization of latency.A novel Enhanced Butterfly optimization algorithm (BOA) is presented in this paper to introduce the optimally chosen load distribution coefficient i.e. time allocation for performing a task.At last, the performance of the developed technique is evaluated with the existing techniques regarding the latency.The experimentation outcomes show that the SDN on the basis of the enhanced BOA approach will effectually reduce the latency as well as enhance QoS in Software-Defined Cloud/Fog architecture.