A comparative analysis of resource allocation schemes for real-time services in high-performance computing systems by Muhammad Shuaib Qureshi (19680094)

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Virtualizing and Scheduling FPGA Resources in Cloud Computing Datacenters by Farhan, Abid

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Optimized provisioning of edge computing resources with heterogeneous workload in IoT networks by Kherraf, Nouha

“…The proliferation of smart connected Internet of Things (IoT) devices is bringing tremendous challenges in meeting the performance requirement of their supported real-time applications due to their limited resources in terms of computing, storage, and battery life. …”
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Performance Analysis of Resource Allocation in THz-Based Subcarrier Index Modulation Systems for Mobile Users by Mohannad Alzard (16888719)

Energy-Efficient Computation Offloading in Vehicular Edge Cloud Computing by Xin Li (51274)

“…In this article, we study an adaptive wireless resource allocation strategy of computation offloading service under a three-layered vehicular edge cloud computing framework. …”

Multi-UAV-Enabled Mobile Edge Computing IoT Systems: Joint Association and Resource Allocation Framework by Abu Farha, Yazan Mahmoud

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Incentive-Vacation Queueing for Edge Crowd Computing by Sherif B. Azmy (21633329)

“…Yet, there’s untapped potential beyond the network’s last mile, on the extreme edge. Extreme edge computing (XEC) is a computing paradigm that exploits computational resources in the end-user’s immediate vicinity. …”

Optimization of Energy Consumption in Cloud Computing Datacenters by Osman, Ahmed Osman

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Incentive-Vacation Queueing in Extreme Edge Computing: An Analytical Reward-Based Framework by Sherif B. Azmy (21633329)

“…Extreme Edge Computing (XEC) extends this approach by utilizing nearby user-owned computational resources to support latency-sensitive applications in a distributed manner. …”

A Neighborhood Framework for Resource-Lean Content Flagging by Sheikh Muhammad Sarwar (19517701)

Resource allocation scheme for eMBB and uRLLC coexistence in 6G networks by Muhammed Al-Ali (16810677)

Properties and Microstructure Distribution of High-Performance Thermal Insulation Concrete by Malek Mohammad (17150977)

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User-centric strategies for resource management in heterogeneous wireless networks with QoS considerations by Abbas, Nadine Fawaz

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Enhancing Security and Performance in Live VM Migration: A Machine Learning‐Driven Framework With Selective Encryption for Enhanced Security and Performance in Cloud Computing Envi... by Raseena M. Haris (17773470)

“…<p dir="ltr">Live virtual machine (LVM) migration is pivotal in cloud computing for its ability to seamlessly transfer virtual machines (VMs) between physical hosts, optimise resource utilisation, and enable uninterrupted service. …”

Prediction of pressure gradient for oil-water flow: A comprehensive analysis on the performance of machine learning algorithms by Md Ferdous Wahid (13485799)

Improved Jaya Synergistic Swarm Optimization Algorithm to Optimize Task Scheduling Problems in Cloud Computing by Abualigah, Laith

“…One critical aspect of cloud computing is efficient task scheduling, which directly impacts system performance and resource utilization. …”
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Data-Assisted Radio Resource Allocation in Shared Spectrum Multi-RAT Heterogeneous Network by Salman Saadat (17541654)

A comparative analysis of MIP formulations for the multi-mode resource-constrained independent task scheduling problem by Maryam Al-Khatib (19561909)

“…We present the results of extensive computational experiments that provide evidence that a formulation based on Dantzig–Wolfe reformulation exhibits very good empirical performance consistently solving all instances with fewer than 30 tasks. …”

Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing by Jincheng Zhou (1887307)

“…The primary objective of load balancing is to map workloads to use computing resources that significantly improve performance. …”

LightEnsemble-Guard: An Optimized Ensemble Learning Framework for Securing Resource-Constrained IoT Systems by Muhammad Usama Tanveer (22225360)

“…This ensemble strategy ensures an optimal balance between detection performance and computational resource utilization, making it well-suited for IoT networks, where processing power and memory are limited. …”