Rabei Raad Ali - Publications

Testing real-time system algorithms performance on synthetic Data: Analytical study of hard and soft system tasks

May 7, 2025

Journal Edelweiss Applied Science and Technology

Publisher Learning Gate

DOI 10.55214/25768484.v9i5.6956

Issue 5

Volume 9

This study compares RMS, EDF, and LLF on synthetic datasets for hard and soft real-time systems to assess their feasibility and effectiveness in supporting real-time systems for various utilization levels. It has been designed to give each algorithm's various strengths, limits, and applicability in real-time application scenarios through total utilization computation and schedule-up-to-do ability analysis. It has been concluded that RMS is not schedulable due to its overutilization, while EDF is infeasible at Total > 1.0 for hard and soft real-time. LLF has limitations due to overutilization and frequent preemptions, making it suitable for soft real-time systems, unlike hard systems, because of the limitations of overutilization and frequent preemptions. RMS and EDF cannot meet deadlines under hard and soft real-time conditions. Future work should focus on hybrid algorithms or load balancing to overcome these limitations and process data in real time without tasks going beyond the time available to them in the CPU.

Publications

Testing real-time system algorithms performance on synthetic Data: Analytical study of hard and soft system tasks

Enhancing MPEG-1 Video Quality Using Discrete Wavelet Transform (DWT) with Coefficient Factor and Gamma Adjustment

Enhancing university teaching and learning through integration of artificial intelligence in information and communication technology

Learning Architecture for Brain Tumor Classification Based on Deep Convolutional Neural Network: Classic and ResNet50

Enhancing Logistics Transparency in Agro-Industry with Trust-Based ME-MCDM Decision Making

Delay tolerant data forwarding topology aware routing protocol for multi-UAVs empowered VANETs

A simulation-based approach to automating subnetting for network efficiency

Training of ICT for educational performance: A systematic review

FOOTBALL PLAYER TRACKING, TEAM ASSIGNMENT, AND SPEED ESTIMATION USING YOLOV5 AND OPTICAL FLOW

Multi-objective Optimization in Satellite-Assisted UAVs

Securing IoT through Intrusion Detection Systems: An Overview

A compensation of VANETs with UAVs to optimizing the routing strategy

Blockchain and IoTA Tangle for Healthcare Systems

Monitoring the processing and supply of clean drinking water using the hybrid gateway method based on the Internet of Things

A Predictive Analysis of IMDb Movie Reviews Using LSTM and ANN Models

VGG-16 Architecture on CNN For American Sign Language Classification

Classification of Red Wine Beverage Quality Using a Support Vector Machine Algorithm Based on Forward Selection as Feature Selection

AI-powered CRM in the post-COVID-19 pandemic

Comparison of densenet-121 and mobilenet for coral reef classification

Comparative Study of Machine Learning Algorithms for Performing Ham or Spam Classification in SMS

Data Mining Application Analyzing Customer Purchase Patterns Using The Apriori Algorithm

Intelligent Classification of JPEG files by Support Vector Machines with Content-based Feature Extraction

Testing data security using a vigenere cipher based on the QR code

Milkfish Freshness Classification Using Convolutional Neural Networks Based on Resnet50 Architecture

A meta-heuristic method for reassemble bifragmented intertwined JPEG image files in digital forensic investigation

TRUST MONITORING FRAMEWORK FOR EFFECTIVE COOPERATION IN SATELLITE ASSISTED UAVS ENABLED VANETS

Path Scheduling and Bandwidth Utilization for Urban Vehicular Adhoc Networks

Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs

High PSNR Using Fibonacci Sequences in Classical Cryptography and Steganography Using LSB

Javanese character recognition based on k-nearest neighbor and linear binary pattern features

Green Chili Quality Classification based on HSV Color Feature with SVM

A model for predicting entrepreneurship intentions based on social cognitive theory and entrepreneurship characteristics

CNN for Image Identification of Hiragana Based on Pattern Recognition Using CNN

A framework for analyzing the relationships between cancer patient satisfaction, nurse care, patient attitude, and nurse attitude in healthcare systems

RX_myKarve carving framework for reassembling complex fragmentations of JPEG images

Quality management practices of food manufacturers: a comparative study between small, medium and large companies in Malaysia

An analysis of imperceptibility and robustness performance in CRT image watermarking based on color space theory

Dual security method for digital image using HBV encryption and least significant bit steganography

A review of digital forensics methods for JPEG file carving

Extreme Learning Machine Classification of File Clusters for Evaluating Content-based Feature Vectors