Abstract
The Big Data load balancing technology involves the establishment of cross the cluster network channel, cluster deployment, task scheduling optimization. These should be assessed in a longitudinal study based on network architecture. This paper is to summarize the current situation of load balancing research about Big Data, and provide a basis for management and research of Big Data in the future.
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Acknowledgements
I would like to express my gratitude to all those who helped me during the writing of this thesis. I gratefully acknowledge the help of my supervisor, Professor Chaoqing Yin, who has offered me valuable suggestions in the academic studies. In the preparation of the thesis, he has provided me with inspiring advice. And I gratefully acknowledge the help of our president of City College, Professor Jianxun Chen, without his patient instruction, expert guidance and strong support, the finish of this thesis would not have been possible.
I should also thank all of my colleagues, from whose devoted teaching and enlightening lectures I have benefited a lot and academically prepared for the thesis.
I should finally like to express my gratitude to my family who have always supported me and stood by me.
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Bin, Y. (2015). Big Data Load Balancing Based on Network Architecture. In: Huang, DS., Jo, KH., Hussain, A. (eds) Intelligent Computing Theories and Methodologies. ICIC 2015. Lecture Notes in Computer Science(), vol 9226. Springer, Cham. https://doi.org/10.1007/978-3-319-22186-1_30
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DOI: https://doi.org/10.1007/978-3-319-22186-1_30
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