Context-Aware Edge Computing Scheduling Design

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The current era is of intelligent and smart computing technology with the popularity of IoT. IoT is growing with huge amount of smart devices providing human and computer interaction in the smart environment. In smart environment, different context will be arriving to meet user needs. Context awareness in smart computing refers to sense and react on the environment. In order to provide services to the IoT users in a smart environment, current state or context must be detected, to determine the action to be delivered, based on the context. But the action delivered encounters more server delay for all the process, including mission critical and delay sensitive process. Therefore, the latency of the process in the Smart Environment must be reduced by scheduling the process at the Edge. The literature review is carried out in three aspects. First, components and technologies involved in IoT based smart environment and edge computing concepts were discussed. Further, it focusses on the scheduling algorithms to reduce the latency of the process in the smart environment. Since the smart environment is dynamic, primary contexts and contexts in the IoT based smart environment is reviewed to differentiate the process into mission critical, delay sensitive and delay tolerant process based on their criticality level. The advancement of IoT technology enables huge growth of IoT devices and produces more data. These data generated from smart environment must be transferred to cloud to make intelligent decisions and this causes sever delay. The emergence of edge computing reduces the latency of the process, in which the information is processed at the edge by placing edge device near the proximity of the data source. But the edge is resource constrained, so all the process can't be processed at Edge. To execute the process at the edge, priority of the process is calculated based on the contexts to differentiate the process. So an efficient priority based context aware scheduling algorithm is proposed to make early decision and schedule IoT process according to the priority calculated and hence reduce the latency of the IoT process.