A Heuristic Algorithm Based on Resource Requirements Forecasting for Server Placement in Edge Computing

Abstract

The placement of edge computing server is the key to the rapid development of edge computing. We propose prediction-mapping-optimization heuristic based on resource requirements forecasting for server placement in edge computing. Through this algorithm, we divide the task into multiple subtasks, and then realize the mapping of subtask-location of server, and finish the information interaction between the servers and the data source through the data naming mechanism proposed by us. With the goal of the lowest cost of service providers, we propose a cross-region resource optimization model and obtained the final server placement strategy.