Cloud computing virtualization technology based on bandwidth resource-aware migration algorithm

Abstract

With the expansion of the Internet, network functions and requirements are becoming more varied. To solve this problem, cloud computing adopts virtualization technology and refers to virtual network function migration to improve network adaptability. However, issues such as resource overload and inefficient migration still exist. Given this, the article proposes a bandwidth-aware virtual network migration algorithm. It combines the risk avoidance simulation learning algorithm with the good and bad distance solution method and applies it to the cloud computing virtual environment. The algorithm monitors bandwidth usage in real-time, identifying potential bottlenecks and considering both resource utilization and bandwidth availability when determining whether to migrate virtual machines. This approach avoids performance degradation due to bandwidth limits. The results showed that the algorithm outperformed others, achieving optimal performance in just 102 iterations and excelling in resource occupancy, utilization, load balancing, migration costs, average migration quantity, latency, and task completion time. This has enabled cloud providers to manage data center network resources in a more efficient manner, thereby enhancing operational efficiency, reducing costs, and delivering more stable and reliable cloud services, which hold significant practical and market value.

Keywords

• bandwidth resource perception
• vnf migration
• rail algorithm
• topsis algorithm
• cloud computing virtualization