An Enhanced Load Balancing Approach for Dynamic Resource Allocation in Cloud Environments
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-021-09110-x.pdf
Reference27 articles.
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2. Li, C., & Li, L. (2017). Load-Balancing Based Cross-Layer Elastic Resource Allocation in Mobile Cloud. Wireless Personal Communications, 97, 2399–2437. https://doi.org/10.1007/s11277-017-4615-3
3. Lin, C., Chin, H., & Deng, D. (2014). Dynamic Multiservice Load Balancing in Cloud-Based Multimedia System. IEEE Systems Journal, 8(1), 225–234. https://doi.org/10.1109/JSYST.2013.2256320
4. Wang, Z., Hayat, M. M., Ghani, N., & Shaban, K. B. (2017). Optimizing cloud-service performance: efficient resource provisioning via optimal workload allocation. IEEE Transactions on Parallel and Distributed Systems, 28(6), 1689–1702. https://doi.org/10.1109/TPDS.2016.2628370
5. Balakrishna, G., & Moparthi, N. (2019). ESBL: Design and Implement A Cloud Integrated Framework for IoT Load Balancing. International Journal of Computers Communications and Control, 14(4), 459–474. https://doi.org/10.15837/ijccc.2019.4.3491
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