Please wait ...
0% Complete
Home
/
13th International Conference on Computer and Knowledge Engineering
SingAll: Scalable Control Flow Checking for Multi-Process Embedded Systems
Authors :
Mehdi Amininasab
1
Ahmad Patooghy
2
Mahdi Fazeli
3
1- Independent Researcher
2- Assistant Professor, North Carolina A&T State University Department of Computer Systems Technology
3- Associate Professor School of Information Technology Halmstad University, Sweden
Keywords :
Control-flow checking،Flow Error،Embedded Systems،Multi-thread،Multi-process
Abstract :
Reliability concerns of embedded systems are traditionally resolved by software-based control flow checking (CFC) methods where the execution flow of the processor is monitored to detect and compensate flow violations. Traditional CFC methods may lose their efficiency when it comes to multiprocessing embedded systems. In this paper, we introduce and validate a novel flow error model for multiprocessing embedded systems. Further, we propose a holistic CFC system which performs the flow checking of the processes of interest. The proposed CFC checking introduces the concept of a single monitoring process intended to check the execution flow of as many processes as wanted within an multiprocessing embedded system. Proposed solution does not introduce any substantial overheads in performance and memory consumption. Even more important is method’s insensitivity to the number of checked processes. Our wide evaluations show the average performance overhead of 13.77%, average code-size overhead of 51.71%, and the average memory overhead of 1.95% on the Mibench benchmark suite. Results of fault injections confirm that the proposed CFC method successfully detects more than 95% of flow errors including our newly defined error model.
Papers List
List of archived papers
Vision-Based Obstacle Avoidance in Drone Navigation using Deep Reinforcement Learning
Pooyan Rahmanzadeh Gervi - Ahad Harati - Sayed Kamaledin Ghiasi-Shirazi
LLM-Driven AutoML for Cross-Lingual Handwritten OCR: Closed-Loop Neural Architecture Search with GPT-5, GPT-4o, and Claude Sonnet 4
Mobina Kashaniyan - Amirhossein Ghassemi - Nasser Mozayani
Towards Efficient Capsule Networks through Approximate Squash Function and Layer-wise Quantization
Mohsen Raji - Kimia Soroush - Amir Ghazizadeh
TriFuse-PdM: High-Fidelity Machine Failure Prediction Using Hybrid Resampling and Model Calibration
Saghar Shafaati - Javad Mohammadzadeh
A Review on Secure Data Storage and Data Sharing Technics in Blockchain-based IoT Healthcare Systems
Seyedeh Somayeh Fatemi Nasab - Davoud Bahrepour - Seyed Reza Kamel Tabbakh
PowerLinear Activation Functions with application to the first layer of CNNs
Kamyar Nasiri - Kamaledin Ghiasi-Shirazi
Adaptive Active Queue Management for Time Slot Channel Hopping in Industrial Internet of Things
Mehdi Zirak - Yasser Sedaghat - Mohammad Hossein Yaghmaee Moghaddam
The process of multi class fake news dataset generation
Sajjad Rezaei - Mohsen Kahani - Behshid Behkamal
Using Deep Learning for Classification of Lung Cancer on CT Images in Ardabil Province
Mohammad Ali Javadzadeh Barzaki - Jafar Abdollahi - Mohammad Negaresh - Maryam Salimi - Hadi Zolfeghari - Mohsen Mohammadi - Asma Salmani - Rona Jannati - Firouz Amani
A Semi-supervised Fake News Detection using Sentiment Encoding and LSTM with Self-Attention
Pouya Shaeri - Ali Katanforoush
more
Samin Hamayesh - Version 44.8.0