Title
Anomaly-based fault detection in pervasive computing system
Abstract
The increased complexity of hardware and software resources and the asynchronous interaction among components (such as servers, end devices, network, services and software) make fault detection and recovery very challenging. In this paper, we present innovative concepts for fault detection, root cause analysis and self-healing architectures analyzing the duration of pattern transition sequences during an execution window. In this approach, all interactions among components of Pervasive Computing Systems (PCS) are monitored and analyzed. We use three-dimensional array of features to capture spatial and temporal variability to be used by an anomaly analysis engine to immediately generate an alert when abnormal behavior pattern is captured indicating some kind of software or hardware failure. The main contributions of this paper include the innovative analysis methodology and feature selection to detect and identify anomalous behavior. Evaluating the effectiveness of this approach to detect faults injected asynchronously shows a detection rate of above 99.9% with no occurrences of false alarms for a wide range of scenarios.
Year
DOI
Venue
2008
10.1145/1387269.1387294
ICPS
Keywords
Field
DocType
root cause analysis,software resource,abnormality detection,innovative concept,pattern profiling,anomaly analysis engine,innovative analysis methodology,anomalous behavior,pervasive computing system,abnormal behavior pattern,anomaly-based fault detection,hardware failure,fault detection,detection rate,performance objectives,faults,interaction analysis,pervasive computing,feature selection,three dimensional
Asynchronous communication,Feature selection,Fault detection and isolation,Root cause analysis,Server,Real-time computing,Software,Engineering,Ubiquitous computing,Anomalous behavior
Conference
Citations 
PageRank 
References 
2
0.43
29
Authors
5
Name
Order
Citations
PageRank
Byoung Uk Kim1406.08
Youssif Alnashif2887.17
Samer Fayssal3313.45
Salim Hariri42593184.23
Mazin Yousif587459.00