QH2O: Energy Efficient Task Scheduling Using Quasi Reflected Harris Hawks Algorithm in Fog Environment
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-6616-2_29
Reference6 articles.
1. Al Ahmad, M., Patra, S.S., Barik, R.K.: Energy-Efficient Resource Scheduling in Fog Computing Using SDN Framework. Progress in Computing, Analytics and Networking. Springer, Singapore, pp. 567–578 (2020)
2. Barik, R.K., et al.: FogGIS: Fog Computing for geospatial big data analytics. In: 2016 IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics Engineering (UPCON). IEEE (2016)
3. Goswami, V., Patra, S.S., Mund, G.B.: Performance Analysis of Cloud with Queue-dependent Virtual Machines. In: 2012 1st International Conference on Recent Advances in Information Technology (RAIT), pp. 357–362. IEEE (2012)
4. Rout, S., et al.: Energy Aware Task Consolidation in Fog Computing Environment. Intelligent Data Engineering and Analytics. pp. 195–205. Springer, Singapore (2021)
5. Okay, F.Y., Ozdemir, S.: Routing in fog-enabled IoT platforms: a survey and an SDN-based solution. IEEE Internet J. 5(6), 4871–4889 (2018)
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