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
Class-Aware Balanced Point Cloud Donwsampling for Efficient Large-Scale 3D Scene Understanding
Mohammad Yousefipour - Marjan Naderan - Morteza Jaderyan
Impossible differential and zero-correlatin linear cryptanalysis of Marx, Marx2, Chaskey andSpeck32
Mahshid Saberi - Nasour Bagheri - Sadegh Sadeghi
Histopathology Image-Based Cancer Classification Utilizing Transfer Learning Approach
Amir Meydani - Alireza Meidani - Ali Ramezani - Maryam Shabani - Mohammad Mehdi Kazeminasab - Shahriar Shahablavasani
Capturing Local and Global Features in Medical Images by Using Ensemble CNN-Transformer
Javad Mirzapour Kaleybar - Hooman Saadat - Hooman Khaloo
AvashoG2P: A multi-module G2P Converter for Persian
Ali Moghadaszadeh - Fatemeh Pasban - Mohsen Mahmoudzadeh - Maryam Vatanparast - Amirmohammad Salehoof
Experimental evaluation and comparison of anti-pattern detection tools by the gold standard
Somayeh Kalhor - Mohammad reza Keyvanpour - Afshin Salajegheh
Overview of Electric Vehicles Charging Stations in Smart Grids
Mohammed Wadi - Wisam Elmasry - Mohammed Jouda - Hossein Shahinzadeh - Gevork B. Gharehpetian
Facial Mask Wearing Condition Detection Using SSD MobileNetV2
Amirhossein Tighkhorshid - Yasamin Borhani - Javad Khoramdel - Esmaeil Najafi
Designing an IT2 Fuzzy Rule-based System for Emotion Recognition Using Biological Data
Mahsa Keshtkar - Hooman Tahayori
A New Application of Machine Learning Based Methods for Disk Space Variation Fault Diagnosis in Transformer Windings
Reza Behkam - Amir Lotfi - Gevork B. Gharehpetian
more
Samin Hamayesh - Version 43.7.0