A sequential Kriging method assisted by trust region strategy for proxy cache size optimization of the streaming media video data due to fragment popularity distribution

作者：Li, Yaohui^*; Zhang, Quanyou; Wu, Yizhong; Wang, Shuting

来源：Multimedia Tools and Applications, 2019, 78(20): 28737-28756.

DOI：10.1007/s11042-018-6563-7

• Surrogate model
• Kriging
• Proxy cache size optimization
• Trust region strategy
• Streaming media video data

The Kriging method based on machine learning is an attractive tool. In this work, a sequential Kriging method assisted by trust region strategy (SKM-TRS) is proposed to solve unconstrained black-box problems. In this SKM-TRS, the complex and expensive objective function is approximated by Kriging model. And then, a sub-optimization problem, which is constructed by Kriging and a distance factor, is minimized by the improved trust region strategy to determine next update point during each iteration cycle. The proposed method is verified by ten well-known benchmark optimization problems and a proxy cache size optimization of the streaming media video data due to fragment popularity distribution. The final test results demonstrate the efficiency and robustness of the SKM-TRS in contrast with Efficient Global Optimization (EGO), Trust Region Implementation in Kriging-based optimization with Expected improvement (TRIKE) and an Adaptive Metamodel based Global Optimization algorithm (AMGO).

• 出版日期2019-10
• 单位许昌学院; 华中科技大学