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Optimal Management of Cloud Centers with Different Arrival Modes for Cloud Computing Environment.

, , and . Int. J. Cloud Appl. Comput., 2 (3): 86-97 (2012)

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Optimal Management of Cloud Centers with Different Arrival Modes for Cloud Computing Environment., , and . Int. J. Cloud Appl. Comput., 2 (3): 86-97 (2012)Dynamic Dedicated Server Allocation for Service Oriented Multi-Agent Data Intensive Architecture in Biomedical and Geospatial Cloud., and . Int. J. Cloud Appl. Comput., 4 (1): 50-62 (2014)hQChain: Leveraging Towards Blockchain and Queueing Model for Secure Smart Connected Health., , , , and . Int. J. E Health Medical Commun., 12 (6): 1-20 (2021)QH2O: Energy Efficient Task Scheduling Using Quasi Reflected Harris Hawks Algorithm in Fog Environment., , , , and . FICTA (2), volume 267 of Smart Innovation, Systems and Technologies, page 309-317. Springer, (2021)ESPS: Energy Saving Power Spectrum-Aware Scheduling to Leverage Differences in Power Ratings of Physical Hosts in Datacenters., , and . Informatica (Slovenia), (2021)Energy Aware Task Consolidation in Fog Computing Environment., , , , and . FICTA (2), volume 1177 of Advances in Intelligent Systems and Computing, page 195-205. Springer, (2020)Energy-Efficient Task Consolidation for Cloud Data Center.. Int. J. Cloud Appl. Comput., 8 (1): 117-142 (2018)Arrhythmia Detection Using Deep Belief Network Extracted Features From ECG Signals., , , , , and . Int. J. E Health Medical Commun., 12 (6): 1-24 (2021)Leveraging Towards Analytical Approach of Fixed batch-based Queueing assisted Blockchain System., , , , , and . IC3, page 220-224. ACM, (2022)Energy Efficiency in Software Defined Networking: A Survey., , , , and . SN Comput. Sci., 2 (4): 308 (2021)