A general AI-defined attention network for predicting CDN performance

Author:

Li Junnan,Lu Zhihui,Tong Yu,Wu Jie,Huang Shalin,Qiu Meikang,Du Wei

Funder

National Natural Science Foundation of China

Shanghai 2018 Innovation Action Plan, China

China National Key R&D Program 2017 Project, China

Shanghai Science and Technology Commission, China

Shanghai Municipal Commission of Economy and Informatization, China

Inner Mongolia Provincial Education Department 2017 Project, China

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference32 articles.

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3. Dzmitry Bahdanau, Kyunghyun Cho, Yoshua Bengio, Neural machine translation by jointly learning to align and translate, in: 3rd International Conference on Learning Representations, 2015.

4. Tim Rocktäschel, Edward Grefenstette, Karl Moritz Hermann, Tomás Kociský, Phil Blunsom, Reasoning about entailment with neural attention, in: 4th International Conference on Learning Representations, 2016.

5. Athula Balachandran, Vyas Sekar, Aditya Akella, Srinivasan Seshan, Ion Stoica, Hui Zhang, Developing a predictive model of quality of experience for internet video, in: Proceedings of the Conference of the ACM Special Interest Group on Data Communication, 2013, pp. 339–350.

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