Deepika Saxena
Orcid: 0000-0002-6654-5535
According to our database1,
Deepika Saxena
authored at least 32 papers
between 2015 and 2023.
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Bibliography
2023
A Quantum Controlled-NOT Neural Network-Based Load Forecast and Management Model for Smart Grid.
IEEE Syst. J., December, 2023
SeCoM: An Outsourced Cloud-Based Secure Communication Model for Advanced Privacy Preserving Data Computing and Protection.
IEEE Syst. J., December, 2023
An AI-Driven VM Threat Prediction Model for Multi-Risks Analysis-Based Cloud Cybersecurity.
IEEE Trans. Syst. Man Cybern. Syst., November, 2023
Design and Analysis of Energy Efficient Service Discovery Routing Protocol in MANETs.
SN Comput. Sci., September, 2023
A Bio-Inspired Virtual Machine Placement Toward Sustainable Cloud Resource Management.
IEEE Syst. J., September, 2023
J. Supercomput., July, 2023
IEEE Syst. J., June, 2023
Performance Analysis of Machine Learning Centered Workload Prediction Models for Cloud.
IEEE Trans. Parallel Distributed Syst., April, 2023
An AI-Driven Intelligent Traffic Management Model for 6G Cloud Radio Access Networks.
IEEE Wirel. Commun. Lett., 2023
A High Availability Management Model Based on VM Significance Ranking and Resource Estimation for Cloud Applications.
IEEE Trans. Serv. Comput., 2023
A Reliable Client Detection System during Load Balancing for Multi-tenant Cloud Environment.
SN Comput. Sci., 2023
A differential approach and deep neural network based data privacy-preserving model in cloud environment.
J. Ambient Intell. Humaniz. Comput., 2023
CoRR, 2023
IEEE Access, 2023
2022
A Fault Tolerant Elastic Resource Management Framework Toward High Availability of Cloud Services.
IEEE Trans. Netw. Serv. Manag., 2022
OFP-TM: an online VM failure prediction and tolerance model towards high availability of cloud computing environments.
J. Supercomput., 2022
OP-MLB: An Online VM Prediction-Based Multi-Objective Load Balancing Framework for Resource Management at Cloud Data Center.
IEEE Trans. Cloud Comput., 2022
A Secure and Multiobjective Virtual Machine Placement Framework for Cloud Data Center.
IEEE Syst. J., 2022
An Intelligent Traffic Entropy Learning-Based Load Management Model for Cloud Networks.
IEEE Netw. Lett., 2022
Differential and TriPhase Adaptive Learning-Based Privacy-Preserving Model for Medical Data in Cloud Environment.
IEEE Netw. Lett., 2022
Quantum Machine Learning Driven Malicious User Prediction for Cloud Network Communications.
IEEE Netw. Lett., 2022
A Fault Tolerant Elastic Resource Management Framework Towards High Availability of Cloud Services.
CoRR, 2022
an intelligent security centered resource-efficient resource management model for cloud computing environments.
CoRR, 2022
2021
IEEE Trans. Parallel Distributed Syst., 2021
A proactive autoscaling and energy-efficient VM allocation framework using online multi-resource neural network for cloud data center.
Neurocomputing, 2021
IEEE Commun. Lett., 2021
A Survey and Comparative Study on Multi-Cloud Architectures: Emerging Issues And Challenges For Cloud Federation.
CoRR, 2021
CoRR, 2021
A Secure and Multi-objective Virtual Machine Placement Framework for Cloud Data Centre.
CoRR, 2021
workload forecasting and resource management models based on machine learning for cloud computing environments.
CoRR, 2021
2020
BiPhase adaptive learning-based neural network model for cloud datacenter workload forecasting.
Soft Comput., 2020
2015
Proceedings of the Eighth International Conference on Contemporary Computing, 2015