A Review: Scheduling Methods in Serverless Edge Computing

Abstract

Recently, the emergence for serverless edge computing has been an attractive topic of research community. It is a new understood in which brings computational resources proximity to edge node network which permits the computation of tasks which triggers the program carry out as a reply for assigned events. The purpose of this research is to investigate diverse methods relevant to scheduling tasks in serverless edge computing. Consequently, these methods are classified depending on their objective functions, precisely, reducing execution cost, low latency, reducing of makespan, scalability, offloading, and intelligent scheduling. The trade-off and dependency among the goals play a critical role in make decision to determine the scheduling policy efficiently. These trade-off and dependency may be led to waste of resources. This issue can be resolved by integrating among the above objectives. Serverless edge computing is predicted to have a substantial influence on the process of the scheduling. Using serverless edge computing, we can run the fine-grained requests on serverless platform by scheduler within coordination item. This allows in expanding size of the resource's utilization due to the optimal use of the scheduling process. An extension of the constrained time limit of objectives by cloud providers will permit the execution of the entire tasks, and get ridding of the rescheduling issue using a serverless edge computing mechanism.