Context-Aware Edge Computing Scheduling Design

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.