Title
Correlation between Complex Network Features and Robustness in Linux Kernel Modules
Abstract
After studying the node degree distribution and average path length of the kernel module call graphs of 223 Linux kernels (V1.1.0 to V2.4.35), we have found that the call graphs of the file system, drivers, kernel, and memory management modules are scale-free small-world complex networks that exhibit strong clustering tendency. Using the random error case and attack case methods, we investigated the robustness of the modules by removing the nodes in their call graphs. We further proposed the Critical Removal Ratio to measure the robustness of these modules from the point view of complex networks. Finally, we showed correlations between robustness and the complex network features of kernel modules.
Year
DOI
Venue
2017
10.1109/SATE.2017.18
2017 International Conference on Software Analysis, Testing and Evolution (SATE)
Keywords
Field
DocType
Linux kernel,robustness,complex networks
Average path length,Computer science,Algorithm,Robustness (computer science),Memory management,Complex network,Degree distribution,Configfs,Cluster analysis,Operating system,Linux kernel
Conference
ISBN
Citations 
PageRank 
978-1-5386-3688-6
0
0.34
References 
Authors
14
3
Name
Order
Citations
PageRank
Lei Wang1401111.60
Xinchen Wang271.51
Dingzeyu Wu310.70