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Optimization of Waiting Time in Complex RIA by Combined Pseudo-Hierarchical-Lazy-Loading Algorithm

Yun Chen, Ai Zheng, Shi Jing, and Qi Huang
School of Energy Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Abstract—In complex RIA (Rich Internet Application) environment, the browser may have to load and process very large amount of data, which may result in long waiting time and bad waiting experience. This may even cause to lose customers for commercial sites. To avoid such problems, it is necessary to replace the natural logic algorithms with some optimization algorithms. In this paper, a combined algorithm, which combines pseudo-hierarchical algorithm and lazy loading algorithm, is proposed. The theoretical analysis is performed. Then a test is designed and the performance of the combined algorithm is compared with that of natural logic algorithm. The results shows that the combined algorithm can give users a better waiting experience by rebalancing loading time and operation response time, matching the analysis very well.

Index Terms—RIA, pseudo-hierarchy, lazy loading, waiting experience

Cite: Yun Chen, Ai Zheng, Shi Jing, and Qi Huang, “Optimization of Waiting Time in Complex RIA by Combined Pseudo-Hierarchical-Lazy-Loading Algorithm," Journal of Communications, vol. 10, no. 11, pp. 859-863, 2015. Doi: 10.12720/jcm.10.11.859-863
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