A secure and multiobjective virtual machine placement framework for cloud data center

D Saxena, I Gupta, J Kumar, AK Singh… - IEEE Systems …, 2021 - ieeexplore.ieee.org
To facilitate cost-effective and elastic computing benefits to the cloud users, the energy-
efficient and secure allocation of virtual machines (VMs) plays a significant role at the data …

Data security and privacy in cloud computing: concepts and emerging trends

R Gupta, D Saxena, AK Singh - arXiv preprint arXiv:2108.09508, 2021 - arxiv.org
Millions of users across the world leverages data processing and sharing benefits from
cloud environment. Data security and privacy are inevitable requirement of cloud …

OP-MLB: an online VM prediction-based multi-objective load balancing framework for resource management at cloud data center

D Saxena, AK Singh, R Buyya - IEEE Transactions on Cloud …, 2021 - ieeexplore.ieee.org
The elasticity of cloud resources allows cloud clients to expand and shrink their demand for
resources dynamically over time. However, fluctuations in the resource demands and pre …

A quantum approach towards the adaptive prediction of cloud workloads

AK Singh, D Saxena, J Kumar… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This work presents a novel Evolutionary Quantum Neural Network (EQNN) based workload
prediction model for Cloud datacenter. It exploits the computational efficiency of quantum …

A fault tolerant elastic resource management framework toward high availability of cloud services

D Saxena, I Gupta, AK Singh… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Cloud computing has become inevitable for every digital service which has exponentially
increased its usage. However, a tremendous surge in cloud resource demand stave off …

Performance analysis of machine learning centered workload prediction models for cloud

D Saxena, J Kumar, AK Singh… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The precise estimation of resource usage is a complex and challenging issue due to the
high variability and dimensionality of heterogeneous service types and dynamic workloads …

A differential approach and deep neural network based data privacy-preserving model in cloud environment

R Gupta, I Gupta, D Saxena, AK Singh - Journal of Ambient Intelligence …, 2023 - Springer
Data outsourcing has become indispensable to allow information sharing among multiple
parties. The users do not fully trust the cloud platform since it is operated by a third party …

An AI-driven VM threat prediction model for multi-risks analysis-based cloud cybersecurity

D Saxena, I Gupta, R Gupta, AK Singh… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Cloud virtualization technology, ingrained with physical resource sharing, prompts
cybersecurity threats on users' virtual machines (VMs) due to the presence of inevitable …

OFP-TM: an online VM failure prediction and tolerance model towards high availability of cloud computing environments

D Saxena, AK Singh - The Journal of Supercomputing, 2022 - Springer
The indispensable collaboration of cloud computing in every digital service has raised its
resource usage exponentially. The ever-growing demand of cloud resources evades service …

A high availability management model based on VM significance ranking and resource estimation for cloud applications

D Saxena, AK Singh - IEEE Transactions on Services …, 2022 - ieeexplore.ieee.org
Massive upsurge in cloud resource usage stave off service availability resulting into
outages, resource contention, and excessive power-consumption. The existing approaches …