Resilient critical infrastructure management with a service oriented architecture: A test case using airport collaborative decision making

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.

[1]  Peer Hasselmeyer,et al.  Towards SLA-Supported Resource Management , 2006, HPCC.

[2]  Paul McKee,et al.  Strategies for the Service Market Place , 2007, GECON.

[3]  Philipp Wieder,et al.  Implementing an SLA Negotiation Framework , 2007 .

[4]  Matthias Hovestadt Fault Tolerance Mechanisms for SLA-aware Resource Management , 2005, 11th International Conference on Parallel and Distributed Systems (ICPADS'05).

[5]  Schahram Dustdar,et al.  Advanced event processing and notifications in service runtime environments , 2008, DEBS.

[6]  Marco Vanneschi,et al.  From Grids To Service and Pervasive Computing , 2008 .

[7]  Philippe Massonet,et al.  Using Sla Based Approach To Handle Sabotage Tolerance In The Grids , 2008 .

[8]  Mike Surridge,et al.  Grid-based business partnerships using service level agreements , 2006 .

[9]  Lorenz Froihofer,et al.  Middleware Support for Adaptive Dependability , 2007, Middleware.

[10]  Alfonso Sánchez-Macián,et al.  Dynamic Service Provisioning Using GRIA SLAs , 2007, ICSOC Workshops.

[11]  Steve Taylor,et al.  Accessing Patient Records in Virtual Healthcare Organisations , 2005 .

[12]  Jeff Magee,et al.  A Rigorous Architectural Approach to Adaptive Software Engineering , 2009, Journal of Computer Science and Technology.

[13]  Miguel Correia,et al.  The CRUTIAL Architecture for Critical Information Infrastructures , 2008, WADS.

[14]  Mike Surridge,et al.  Contextualized B2B Registries , 2007, ICSOC.

[15]  Giordano Vicoli,et al.  A Middleware Improved Technology (MIT) to Mitigate Interdependencies between Critical Infrastructures , 2007, WADS.

[16]  Siegfried Benkner,et al.  A Generic QoS Infrastructure for Grid Web Services , 2006, Advanced Int'l Conference on Telecommunications and Int'l Conference on Internet and Web Applications and Services (AICT-ICIW'06).

[17]  Matthias Hovestadt,et al.  Service level agreement aware resource management , 2006 .

[18]  David De Roure,et al.  Experiences with GRIA - Industrial Applications on a Web Services Grid , 2005, e-Science.

[19]  Ian Sommerville,et al.  Responsibility modelling for contingency planning , 2007 .

[20]  Jerzy Mikulik,et al.  Automatic Risk Control Based on FSA Methodology Adaptation for Safety Assessment in Intelligent Buildings , 2009, Int. J. Appl. Math. Comput. Sci..