Research on data distribution and load balancing scheduling framework in cloud environment based on fuzzy logic concept

Abstract

Framework based on fuzzy logic concept is proposed to solve the problem of data distribution and load balancing scheduling in cloud environment. The framework comprehensively considers the system load, data access mode and node resources, aiming at the balanced distribution of data and the reasonable scheduling of load. By fuzzy processing the resource status information in the cloud environment, the advantage of fuzzy logic can refl ect the actual situation more accurately. At the same time, considering the size, type and access frequency of data and other factors, the data is distributed to diff erent server nodes to achieve the balance of data distribution. Based on the load balancing algorithm, the task allocation strategy is dynamically adjusted according to the resource status information and task load of each server node to improve the performance and reliability of the system. The eff ectiveness and superiority of the framework in the cloud environment are proved by the experimental evaluation. This research has practical signifi cance and application value for data management and load scheduling in cloud environment.