People | Locations | Statistics |
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Ziakopoulos, Apostolos | Athens |
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Vigliani, Alessandro | Turin |
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Catani, Jacopo | Rome |
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Statheros, Thomas | Stevenage |
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Utriainen, Roni | Tampere |
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Guglieri, Giorgio | Turin |
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Martínez Sánchez, Joaquín |
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Tobolar, Jakub |
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Volodarets, M. |
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Piwowar, Piotr |
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Tennoy, Aud | Oslo |
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Matos, Ana Rita |
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Cicevic, Svetlana |
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Sommer, Carsten | Kassel |
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Liu, Meiqi |
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Pirdavani, Ali | Hasselt |
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Niklaß, Malte |
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Lima, Pedro | Braga |
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Turunen, Anu W. |
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Antunes, Carlos Henggeler |
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Krasnov, Oleg A. |
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Lopes, Joao P. |
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Turan, Osman |
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Lučanin, Vojkan | Belgrade |
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Tanaskovic, Jovan |
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Russo, Stefano
in Cooperation with on an Cooperation-Score of 37%
Topics
- radar
- water traffic
- assessment
- ship
- computer science
- safety
- train consist
- behavior
- sensor
- security
- engineering
- cloud
- cloud computing
- information system
- distributed control
- textile fabric
- hybrid simulation
- gateway
- identification system
- optical detector
- air traffic
- air traffic control
- data collection
- data
- case study
- reliability
- software
- implementation
- monitoring
- design
- experiment
- fault monitoring
- linear algebra
- industry
- guideline
- variable
- indicating instrument
- diagnosis
- highway traffic control
- parametric analysis
- sensitivity analysis
- sensitivity
- detector
- embedded system
- computer operating system
- procurement
- electronic mail
- machinery
- learning
- machine learning
- intelligence
- middleware
- workload
- infrastructure
- social science
- fault tolerance
- algorithm
- production
- costs
- architecture
- control system
- system safety
- system architecture
- traffic control system
- estimate
- uncertainty
- expected value
- atmosphere
- industrial engineering
- filtration
- leakage
- computer security
- market
- failure analysis
- show 44 more
Publications (11/11 displayed)
- 2018Hybrid Simulation and Test of Vessel Traffic Systems on the Cloudcitations
- 2016Error Monitoring for Legacy Mission-Critical Systems
- 2015An OS-level Framework for Anomaly Detection in Complex Software Systemscitations
- 2012Workload Characterization for Software Aging Analysiscitations
- 2012Achieving Reliable and Timely Event Dissemination over WANcitations
- 2011Towards identifying OS-level anomalies to detect application software failurescitations
- 2011Criticality-Driven Component Integration in Complex Software Systemscitations
- 2011A Statistical Anomaly-Based Algorithm for On-line Fault Detection in Complex Software Critical Systemscitations
- 2010Memory leak analysis of mission-critical middlewarecitations
- 2009An experiment in memory leak analysis with a mission-critical middleware for air traffic controlcitations
- 2009A failure analysis of data distribution middleware in a mission-critical system for air traffic controlcitations
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document
A Statistical Anomaly-Based Algorithm for On-line Fault Detection in Complex Software Critical Systems
Abstract
The next generation of software systems in Large-scale Complex Critical Infrastructures (LCCIs) requires efficient runtime management and reconfiguration strategies, and the ability to take decisions on the basis of current and past behavior of the system. In this paper we propose an anomalybased approach for the detection of online faults, which is able to (i) cope with highly variable and non-stationary environment and to (ii) work without any initial training phase. The novel algorithm is based on Statistical Predictor and Safety Margin (SPS), which was initially developed to estimate the uncertainty in time synchronization mechanisms. The SPS anomaly detection algorithm has been experimented on a case study from the Air Traffic Management (ATM) domain. Results have been compared with an algorithm, which adopts static thresholds, in the same scenarios [5]. Experimental results show limitations of static thresholds in highly variable scenarios, and the ability of SPS to fulfill the expectations.
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