131 citations · 457 across the 13 of their papers we have counts for
7 papers · 1 filter
A Fault Tolerant Elastic Resource Management Framework Towards High Availability of Cloud Services
Deepika Saxena, Ishu Gupta, Ashutosh Kumar Singh +1
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 service…
A proactive autoscaling and energy-efficient VM allocation framework using online multi-resource neural network for cloud data center
Deepika Saxena, Ashutosh Kumar Singh
This work proposes an energy-efficient resource provisioning and allocation framework to meet the dynamic demands of future applications. The frequent variations in a cloud user's…
A Quantum Approach Towards the Adaptive Prediction of Cloud Workloads
Ashutosh Kumar Singh, Deepika Saxena, Jitendra Kumar +1
This work presents a novel Evolutionary Quantum Neural Network (EQNN) based workload prediction model for Cloud datacenter. It exploits the computational efficiency of quantum comp…
Dynamic Resource Allocation Method for Load Balance Scheduling over Cloud Data Center Networks
Sakshi Chhabra, Ashutosh Kumar Singh
The cloud datacenter has numerous hosts as well as application requests where resources are dynamic. The demands placed on the resource allocation are diverse. These factors could…
an intelligent security centered resource-efficient resource management model for cloud computing environments
Deepika Saxena, Ashutosh Kumar Singh
This paper proposes a conceptual model for a secure and performance-efficient workload management model in cloud environments. In this model, a resource management unit is employed…
A Secure and Multi-objective Virtual Machine Placement Framework for Cloud Data Centre
Deepika Saxena, Ishu Gupta, Jitendra Kumar +2
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…