A Survey of Edge Computing Resource Allocation and Task Scheduling Optimization

The optimization problem of resource allocation and task scheduling involves effectively utilizing limited computing resources and arranging user service requests or tasks in a distributed computing environment to achieve improved performance, reduced costs, and energy savings. With the advancements in technologies such as the Internet of Things and 5G, edge computing has emerged as a new paradigm that deploys data processing and analysis capabilities closer to the data source, enabling faster, more secure, and reliable services. Consequently, the widespread adoption of edge computing presents new challenges and opportunities for resource allocation and task scheduling optimization, including the management of massive data streams, adaptation to dynamic network environments, and coordination between edge and cloud computing. This paper summarizes the issues, evaluation dimensions and methods of resource allocation and task scheduling optimization in edge computing and identifies future prospects and challenges in this area.