SERSCIS

The SERSCIS project presented a paper at the 2nd SESAR Innovation Days organised by EUROCONTROL and Single European Sky ATM Research in Braunschweig, Germany, on 28th November 2012.

Surridge, M., Chakravarthy, A., Hall-May, M., Chen, X., Nasser, B., Nossal, R. (2012) SERSCIS: Semantic Modelling of Dynamic, Multi-Stakeholder Systems. In: Proceedings of the 2nd SESAR Innovation Days, November 2012, Braunschweig, Germany

Vasilis Tsoulkas of KEMEA will give a keynote presentation at the European Modelling Symposium on Mathematical Modelling and Computer Simulation, 14-16 November 2012. The keynote presentation is called Machine Reasoning for Cyber-Physical Modelling and Protection of Critical Infrastructures: The Serscis Proof of Concept.

Vasilis Tsoulkas from KEMEA will dedicate his invited keynote presentation at the International Conference on Intelligent Systems in the Middle East to SERSCIS project results. The conference will take place at the American University of Science & Technology, Beirut, Lebanon. The conference is scheduled for 2013.

IT Innovation is presenting SERSCIS at the Farnborough Air Show this week as part of the University of Southampton’s research and development in aerospace. Southampton has a great deal of expertise in aerospace, including aircraft noise reduction, aerodynamics, advanced materials, design optimisation and many others.

Find our stand in the Innovation Zone.

Download the SERSCIS Farnborough flyer as a PDF.

KEMEA has presented SERSCIS results at UKSim2012. The paper is called “An Intelligent Fault Monitoring and Risk Management Tool for Complex Critical Infrastructures: The SERSCIS Approach in Air-traffic Surface Control”.

The paper provides novel results on the development of an intelligent risk management and threat monitoring visualization tool. We describe the highly complex task of aircraft management process and the adopted risk assessment and evaluation methodology for the implementation of a threat analysis-monitoring solution in the aircraft surface operations sector. In particular our case study and proof–of–concept prototype concentrates on the technical support and information presentation capacity to decision makers and human-in-the-loop operators for optimizing the dynamic and adaptive behavior of the interconnected ICT systems in an Airport Collaborative Decision making (A-CDM) test case scenario of the European Air Traffic System.

IT Innovation has contributed a chapter to the Handbook of Research on Service-Oriented Systems and Non-Functional Properties: Future Directions published by IGI Global. The chapter is called Semantic Modelling of Resource Dependability for SLA-Based Service Governance.

In this chapter we present a survey of research work related to the semantic modelling of security, semantic SLA modelling, and the current state of the art in SLA-based system governance. Based on this survey, and after observing the essential aspects needed to semantically model an SLA, we first propose a semantic model of resource dependability. This model can be used to semantically encode in SLA the service commitments (to customers) and resource capacity (from suppliers) in terms of usage, performance, and other QoS characteristics that represent non-functional properties. On the basis of this model, we propose a flexible approach to SLA-based system governance that allows for elastic provisioning of resources (by autonomic processes) that meet NFP requirements. This approach can be used to monitor and manage services such that they meet (and continue to meet) agreed levels of QoS.

IT Innovation and Austro Control have published a paper in a special edition of the AMCS journal on Efficient Resource Management for Grid-Enabled Applications. The paper is called Resilient critical infrastructure management with a service oriented architecture: A test case using airport collaborative decision making.

The SERSCIS approach aims to support the use of interconnected systems of services in Critical Infrastructure (CI) applications. The problem of system interconnectedness is aptly demonstrated by ‘Airport Collaborative Decision Making’ (A-CDM). Failure or underperformance of any of the interlinked ICT systems may compromise the ability of airports to plan their use of resources to sustain high levels of air traffic, or to provide accurate aircraft movement forecasts to the wider European air traffic management systems. The proposed solution is to introduce further SERSCIS ICT components to manage dependability and interdependency. These use semantic models of the critical infrastructure, including its ICT services, to identify faults and potential risks and to increase human awareness of them. Semantics allow information and services to be described in a way that makes them understandable to computers. Thus when a failure (or a threat of it) is detected, SERSCIS components can take action to manage the consequences, including changing the interdependency relationships between services. In some cases, the components will be able to take action autonomously, e.g., to manage ‘local’ issues such as the allocation of CPU time to maintain service performance, or the selection of services where there are redundant sources available. In other cases the components will alert human operators so they can take action instead. The goal of this paper is to describe a Service Oriented Architecture (SOA) that can be used to address the management of ICT components and interdependencies in critical infrastructure systems.