An Approach to New Technical Solutions in Resource Allocation Based on Artificial Intelligence

Author:

Nguyen Trong Tung,Cuong Nguyen Hai Vinh,Pham Tran-Vu,Cuong Nguyen Ha Huy,Khiet Bui Thanh

Publisher

Springer Nature Switzerland

Reference26 articles.

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2. Banerjee, P., et al.: Everything as a service: powering the new information economy. Computer (Long Beach Calif.) 44(3), 36–43 (2011). https://doi.org/10.1109/MC.2011.67

3. Rajkumar, M., Mariyadoss, M.K., Kandan, M.: Strategies for Resource Allocation in Cloud Computing: A Review Test Data Compression Methods: A review View project Hadoop Map Reduce View project Strategies for Resource Allocation in Cloud Computing: A Review. https://www.researchgate.net/publication/313160586

4. Kumar, N., Chilamkurti, N., Zeadally, S., Jeong, Y.S.: Achieving quality of service (QoS) using resource allocation and adaptive scheduling in cloud computing with grid support. Comput. J. 57(2), 281–290 (2014). https://doi.org/10.1093/comjnl/bxt024

5. Khanna, D., Patel, T.P.: Deadlocks avoidance in Cloud computing using enhanced load balancing approach. IJRAR-Int. J. Res. Anal. Rev. (2018). http://ijrar.com/

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