Data Storage Optimization Model Based on Improved Simulated Annealing Algorithm

Since there is a longitudinal and horizontal penetration problem between multi-level data centers in the smart grid information transmission network. Based on improved Simulated Annealing algorithm, this paper proposes storage optimization model for grids based Hadoop architecture. Combining characteristics of distributed cloud computing, are equivalent to task-oriented set. The platform flattened, equal collection multiple centers. over time were counted derive dependencies task sets sets. According dependency sets, mathematical was established combination with actual power grid. optimal correspondence each set center calculated. An algorithm solves When generating new solution, Grey Wolf provides direction finding solution. This integrated existing business computational resources establish affiliation distribution calculated, optimally stored physical disk. Arithmetic examples used analyze efficiency stability several algorithms verify algorithm’s advantages, algorithms’ effectiveness confirmed by simulation.