Scheduling Multi-workflows over Edge Computing Resources with Time-Varying Performance, A Novel Probability-Mass Function and DQN-Based Approach
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-59618-7_13
Reference37 articles.
1. Chen, X., Liu, Z., Chen, Y., Li, Z.: Mobile edge computing based task offloading and resource allocation in 5g ultra-dense networks. IEEE Access 7, 184172–184182 (2019)
2. Ciobanu, R., Dobre, C., Balanescu, M., Suciu, G.: Data and task offloading in collaborative mobile fog-based networks. IEEE Access 7, 104405–104422 (2019)
3. Li, G., Lin, Q., Wu, J., Zhang, Y., Yan, J.: Dynamic computation offloading based on graph partitioning in mobile edge computing. IEEE Access 7, 185131–185139 (2019)
4. Luo, S., Wen, Y., Xu, W., Puthal, D.: Adaptive task offloading auction for industrial CPS in mobile edge computing. IEEE Access 7, 169055–169065 (2019)
5. Zhou, J., Fan, J., Wang, J., Zhu, J.: Task offloading for social sensing applications in mobile edge computing. In: Seventh International Conference on Advanced Cloud and Big Data, CBD 2019, Suzhou, China, 21–22 September 2019, pp. 333–338. IEEE (2019)
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