A dew computing solution for IoT streaming devices

Most people refer to modern mobile and wireless ubiquitous solutions as an IoT application. The advances of the technology and establishment of cloud-based systems emerge the idea of the connected world over Internet based on distributed processing sites. In this paper, we discuss the dew computing architectural approach for IoT solutions and give an organizational overview of the dew server and its connections with IoT devices in the overall cloud-based solutions. Dew servers act as another computing layer in the cloud-based architecture for IoT solutions, and we present its specific goals and requirements. This is compared to the fog computing and cloudlet solutions with an overview of the overall computing trends. The dew servers are analyzed from architectural and organizational aspect as devices that collect, process and offload streaming data from the IoT sensors and devices, besides the communication with higher-level servers in the cloud.

I. Introduction

Streaming sensors are those that supply continuous data by sampling the signal on regular time periods. In order to clarify the difference between streaming data and static sensors we define that if the sampling frequency is higher than 100 samples per second then the sensor is streaming data [1]. Any IoT sensor that samples on lower frequencies than 1 Hz is defined to be static.