| dc.description.abstract | Over the recent years with the enhancement of smart application, IoT has changes the modern life in large-scale. Device which are used as Internet of Things (IoT) are normally low prices, consumed low power and the computational cost is not as higher. In this circumstance using an IoT device for a small organization as well as ordinary people is very much spontaneous. On the other hand, if you are a burdensome user in terms of internet then cloud server is probably your first choice because all the computational complexity is managed in the background server. In this paper we actually compare how to handle both the IoT device and cloud server and as well as how continuity is being changed with respect to device, place and position of device. We use face recognition as application to build a relationship between edge cloud and core cloud with respect to time by using an IoT device (Raspberry Pi). With the use of MQTT (Message Queuing Telemetry Transport) protocol we also maintain the secrecy as well. As a result of using huge amount of packet with a specific protocol and face recognition as application to store image, recognize the image and detect the image from the image dataset, the latency of the network may be increased as well. More data you transferred, more complexity you must be faced. Transfer a huge amount of packet in core cloud is not much easy and for that we reduce the latency of network in the core cloud and edge cloud also. We evaluate the result for both edge cloud and core cloud with the use of IoT device and without also. The ultimate result will show you that if you use edge cloud with reference to core cloud, it will be faster and not time consuming. | en_US |
