Comprehensive Study On EDGE-Cloud Collaborative Computing for Optimal Task Scheduling

Abstract

In recent years, Cloud and edge computing have got much attention because of the ever-increasing demands. There are many future technologies and advantages for systems to move towards clouds based on information keep methods. This includes a simple IT substructure and administration, and an effective distant approach from any place in the global with the steady computer network connections and efficient cost that cloud engineering can give. These paradigms impose to process the large amounts of generated data close to the data sources rather than in the cloud. One of the considerations of cloud edge based environment is resource management, which typically revolves around resource allocation, resource provisioning, task scheduling and improve performance. Aiming at the future problem of simulating service requests and optimal task scheduling during the operation of the cloud computing/edge computing environment, the real-time optimization scheduling technology of computing resources is studied, and elastic resource optimization scheduling is realized through data feature (quality) mining analysis, and collaborative resource management. Ensure that the simulation service quality meets the mission requirements and provide support. The main goal of this paper is to provide the better and deeper understanding regarding the scheduling approaches in the Edge-Cloud environment that covers the way in the scheduling approaches.