The Research of Auto-regressive Load-Balancing Model Based on Quantum Clustering

By building the quantum clustering model based on quantum behavioral trait, the particles moving and colliding on the array of the quantum clustering model. Its geometric shapes and entangling shapes are continuously changing with time lapse. Finally, it will take a stable probability distribution, the total particles achieve their optimum entangling shapes. It is a greater performance than classic method, that we combine the quantum clustering algorithm and auto-regressive algorithm to apply servers´ load-balancing.