A Framework of IOT Service Assignment To Mitigate The Service Latency With Collaboration Of Fog and Cloud
V. Nivedita, N. Nandha Gopal · 2019
With exponential growth of vast amount of data or traffic or information from various heterogeneous IOT devices stumbles the network as a result the response time of data delivery from cloud to end IOT devices turns to high latency, network traffic, data congestion, consume high bandwidth, huge power consumption curb the development of IOT specifically in the time sensitive applications. For instance health related services, and traffic light systems, etc. In order to cope up with mass connections, surplus data management, and resource allocation for billions of IOT devices the new paradigm has been emerged known as Fog Computing also called edge computing (fog means closer to ground). In fog computing resource allocation the main challenge is considered in this paper. The following challenges in resource allocation are i) IOT devices might be shortcomings in their capacity (eg: data, processor, memory, CPU, bandwidth, etc), ii) shortcoming in their network resources, iii) increased latency or response time to the centralized data server from IOT devices. By considering the following issues we have presented the model or architecture for IOT service delegation to mitigate the network latency and improve the Quality of Service(QOS) and proposed algorithm for optimizing in terms of capacity and big data distribution among fog and cloud computing.