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

Martin Hall-May; Mike Surridge; Roman Nossal-Tüyeni

International Journal of Applied Mathematics and Computer Science (2011)

  • Volume: 21, Issue: 2, page 259-274
  • ISSN: 1641-876X

Abstract

top
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.

How to cite

top

Martin Hall-May, Mike Surridge, and Roman Nossal-Tüyeni. "Resilient critical infrastructure management with a service oriented architecture: A test case using airport collaborative decision making." International Journal of Applied Mathematics and Computer Science 21.2 (2011): 259-274. <http://eudml.org/doc/208045>.

@article{MartinHall2011,
abstract = {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.},
author = {Martin Hall-May, Mike Surridge, Roman Nossal-Tüyeni},
journal = {International Journal of Applied Mathematics and Computer Science},
keywords = {resilience; QoS; SOA; critical infrastructure; SLA},
language = {eng},
number = {2},
pages = {259-274},
title = {Resilient critical infrastructure management with a service oriented architecture: A test case using airport collaborative decision making},
url = {http://eudml.org/doc/208045},
volume = {21},
year = {2011},
}

TY - JOUR
AU - Martin Hall-May
AU - Mike Surridge
AU - Roman Nossal-Tüyeni
TI - Resilient critical infrastructure management with a service oriented architecture: A test case using airport collaborative decision making
JO - International Journal of Applied Mathematics and Computer Science
PY - 2011
VL - 21
IS - 2
SP - 259
EP - 274
AB - 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.
LA - eng
KW - resilience; QoS; SOA; critical infrastructure; SLA
UR - http://eudml.org/doc/208045
ER -

References

top
  1. Aguado, V.M. (2009). Airport CDM Guide, EUROCONTROL, Brussels. 
  2. Balducelli, C., Di Pietro, A., Lavalle, L. and Vicoli, G. (2008). A middleware improved technology (MIT) to mitigate interdependencies between critical infrastructures, in R. de Lemos, F. Giandomenico, C. Gacek, H. Muccini and M. Vieira (Eds.), Architecting Dependable Systems, Lecture Notes in Computer Science, Vol. 5135, Springer, Berlin/Heidelberg, pp. 28-51. 
  3. Benkner, S. and Engelbrecht, G. (2006). A generic QoS infrastructure for grid web services, Proceedings of the International Conference on Internet and Web Applications and Services/Advanced International Conference on Telecommunications, Guadeloupe, French Caribbean, p. 141. 
  4. Boniface, M.J., Leonard, T.A., Surridge, M., Taylor, S.J., Finlay, L. and McCorry, D. (2005). Accessing patient records in virtual healthcare organisations, Proceedings of eChallenges, Ljubljana, Slovenia. 
  5. Boniface, M.J., Phillips, S.C. and Surridge, M. (2006). Gridbased business partnerships using service level agreements, Proceedings of the Cracow Grid Workshop, Cracow, Poland, pp. 165-175. 
  6. Boniface, M., Phillips, S., Sanchez-Macian, A. and Surridge, M. (2009). Dynamic service provisioning using GRIA SLAs, in E. di Nitto and M. Ripeanu (Eds.), Service-Oriented Computing-ICSOC 2007 International Workshops, Revised Selected Papers, Lecture Notes in Computer Science, Vol. 4907, Springer, Berlin/Heidelberg, pp. 56-67. 
  7. Froihofer, L., Goeschka, K.M. and Osrael, J. (2007). Middleware support for adaptive dependability, in R. Cerqueira and R.H. Campbell (Eds.), Proceedings of the 8th International Middleware Conference, Lecture Notes in Computer Science, Vol. 4834, Springer, Berlin/Heidelberg/New York, NY, pp. 308-327. 
  8. GRIA.org (n.d.). http://www.gria.org. 
  9. Hasselmeyer, P., Koller, B., Schubert, L. and Wieder, P. (2006). Towards SLA-supported resource management, in M. Gerndt and D. Kranzlmüller (Eds.), Proceedings of the 2nd International High Performance Computing and Communications Conference, Lecture Notes in Computer Science, Vol. 4208, Springer, Berlin/Heidelberg, pp. 743-752. 
  10. Hasselmeyer, P., Mersch, H., Koller, B., Quyen, H.N., Schubert, L. and Wieder, P. (2007). Implementing an SLA negotiation framework, Proceedings of the eChallenges Conference (e-2007), The Hague, The Netherlands, pp. 24-26. 
  11. Hovestadt, M. (2005). Fault tolerance mechanisms for SLAaware resource management, Proceedings of the 11th International Conference on Parallel and Distributed Systems, Fukuoka, Japan, Vol. 2, pp. 458-462. 
  12. Hovestadt, M. (2006). Service Level Agreement Aware Resource Management, Ph.D. thesis, University of Paderborn, Paderborn. 
  13. Kramer, J. and Magee, J. (2009). A rigorous architectural approach to adaptive software engineering, Journal of Computer Science and Technology 24(2): 183-188. 
  14. McKee, P., Taylor, S.J., Surridge, M., Lowe, R. and Ragusa, C. (2007). Strategies for the service market place, in J. Altmann and D.J. Veit (Eds.), Proceedings of GECON 2007 - Grid Economics and Business Models, Lecture Notes in Computer Science, Vol. 4685, Berlin/Heidelberg, pp. 58-70. 
  15. Michlmayr, A., Rosenberg, F., Leitner, P. and Dustdar, S. (2008). Advanced event processing and notifications in service runtime environments, Proceedings of the 2nd International Conference on Distributed Event-based Systems, Rome, Italy, pp. 115-125. 
  16. Mikulik, J. and Zajdel, M.A. (2009). Automatic risk control based on FSA methodology adaptation for safety assessment in intelligent buildings, International Journal of Applied Mathematics and Computer Science 19(2): 317-326, DOI:102478/v10006-009-0027-1. Zbl1167.93313
  17. Naqvi, S., Mouton, S., Massonet, P., Silaghi, G., Battre, D., Hovestadt, M. and Djemame, K. (2008). Using SLA based approach to handle sabotage tolerance in the grid, in T. Priol and M. Vanneschi (Eds.), From Grids to Service and Pervasive Computing, Springer, Berlin/Heidelberg, pp. 153-162. 
  18. NextGRID (n.d.). http://www.nextgrid.org. 
  19. Radetzki, U., Boniface, M. and Surridge, M. (2007). Contextualized B2B registries, in E. di Nitto and M. Ripeanu (Eds.), Proceedings of Service-Oriented Computing (ICSOC 2007), Lecture Notes in Computer Science, Vol. 4749, Springer, Berlin/Heidelberg, p. 506. 
  20. Sommerville, I., Storer, T. and Lock, R. (2007). Responsibility modelling for contingency planning, Proceedings of the Workshop on Understanding Why Systems Fail, Edinburgh, UK. 
  21. Surridge, M., Taylor, S., De Roure, D. and Zaluska, E. (2005). Experiences with GRIA-Industrial applications on a web services grid, First International Conference on e-Science and Grid Computing, Melbourne, Australia, pp. 98-105. 
  22. Verissimo, P., Deswarte, Y., Bondavalli, A., Neves, N.F., El Kalam, A.A., Daidone, A. and Correia, M. (2008). The CRUTIAL architecture for critical information infrastructures, in R. de Lemos, F. Giandomenico, C. Gacek, H. Muccini and M. Vieira (Eds.), Architecting Dependable Systems, Lecture Notes in Computer Science, Vol. 5135, Springer, Berlin/Heidelberg, pp. 1-27. 

NotesEmbed ?

top

You must be logged in to post comments.

To embed these notes on your page include the following JavaScript code on your page where you want the notes to appear.

Only the controls for the widget will be shown in your chosen language. Notes will be shown in their authored language.

Tells the widget how many notes to show per page. You can cycle through additional notes using the next and previous controls.

    
                

                
Note: Best practice suggests putting the JavaScript code just before the closing </body> tag.