Task Scheduling Method of Wireless Sensor Multimedia Big Data Parallel Computing Based on Bee Colony Algorithm
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-50577-5_29
Reference8 articles.
1. Zhao, N.: Cloud computing platform non-recurring task parallel scheduling simulation. Comput. Simul. 38(1), 5 (2021)
2. Qi, Q., Zhang, L., Wang, J., et al.: Scalable parallel task scheduling for autonomous driving using multi-task deep reinforcement learning. IEEE Trans. Veh. Technol. 69(11), 13861–13874 (2020)
3. Saleem, U., Liu, Y., Jangsher, S., et al.: Mobility-aware joint task scheduling and resource allocation for cooperative mobile edge computing. IEEE Trans. Wireless Commun. (99), 1 (2020)
4. Zhou, C., Wu, W., He, H., et al.: Deep reinforcement learning for delay-oriented IOT task scheduling in space-air-ground integrated network. IEEE Trans. Wirel. Commun. (99) 1 (2020)
5. Liu, S., He, T., Dai, J.: A survey of CRF algorithm based knowledge extraction of elementary mathematics in Chinese. Mob. Netw. Appl. (2021)
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