Dynamic Resource Allocation Strategy Based on K-Means

In order to improve the utilization and user experience of large cloud computing center resources in the mobile edge computing (MEC) environment, a dynamic computing resource and spectrum resource allocation algorithm (KDSAA) based on the K-means algorithm is proposed. The algorithm analyzes the current status of the traditional average resource allocation method and virtual machine allocation method, studies the user's comprehensive needs, simulates resources as “fluid”, uses an auction algorithm to allocate, and the optimal values of edge cloud throughput and transmission delay are linearly solved. Experimental simulation results show that the algorithm can effectively improve edge cloud throughput and reduce transmission delay.