128 citations · 474 across the 19 of their papers we have counts for
5 papers · 1 filter
Quantum Blackhole Learning-Optimized Hadamard Neural Network Model for Dynamic Resource Reservation in Industry Clouds
Deepika Saxena, Hari Mohan Gaur, Ashutosh Kumar Singh +1
Accurate workload prediction and proactive resource reservation are crucial for industry clouds. However, the conventional machine learning (CML) models with limited learning capab…
REE-TM: Reliable and Energy-Efficient Traffic Management Model for Diverse Cloud Workloads
Ashutosh Kumar Singh, Deepika Saxena, Volker Lindenstruth
Diversity of workload demands lays a critical impact on efficient resource allocation and management of cloud services. The existing literature has either weakly considered or over…
An Oversubscription and Service Pricing Exploitation-Based Profit Maximization Framework for Industry Cloud Resource Management
Deepika Saxena, Ashutosh Kumar Singh
This article proposed a novel industry cloud resource management framework that exploits resource oversubscription and heterogeneous service pricing models to maximize profitabilit…
Syntax Element Encryption for H.265/HEVC Using Chaotic Map-Based Coefficient Scrambling Scheme
Liang-Wei Li, Chung-Nan Lee, Kishu Gupta +2
In today's digital landscape, high-efficiency video coding (H.265/HEVC) has emerged as the most widely used video coding standard, employing selective encryption schemes to protect…
Multi-Factor Trust-Driven Secure Communication Model for Cloud-Based Digital Twins
Deepika Saxena, Ashutosh Kumar Singh
Cloud-based Digital Twin (DT) platforms enable real-time monitoring, simulation, and collaborative decision-making across distributed clients. However, ensuring secure and trustwor…