A Proxy Node Resource Load Balancing Strategy Based on the Swift System

The internet of Things (IoT) uses wireless sensor devices to build a huge network transmission center, the data is increasing, and the data types have diverse characteristics. Such data raise a certain challenge for data storage and resource scheduling in cloud platforms. Swift can solve the needs of massive data storage capacity, but it is impossible to effectively achieve load balancing and waste resources. Therefore, according to the resource load status of the proxy node, this paper proposes a node resource load balancing strategy based on Linux Virtual Server (LVS). Through the study of scheduling algorithms, a dynamic feedback load balancing algorithm based on a weighted minimum connection is proposed. Experimental results show that the dynamic feedback load balancing algorithm based on a weighted minimum connection can effectively solve the resource scheduling problem.