Abstract
Computer network infrastructures constitute the critical backbone of every socio-economic ICT system. Consequently, they are becoming increasingly mission-critical in our society since they provide always-on services for many everyday applications (e.g., Cloud Data Centres), safety-critical operations (e.g., Air Traffic Control networks), critical manufacturing services (e.g., Utility networks and Industrial Control Systems), and critical real-time services (e.g., Financial Trading Systems). The resilience and ability of such systems to remain operational in the face of threats is therefore paramount; this needs to be done by taking remedial action and intelligently reshaping their resources. At the same time, current communication architectures do not allow for such informed and adaptive provisioning. In this paper, we introduce the concepts, principles and current research activities related to a new Situation Aware Information Infrastructure (\(SAI^2\)) framework being developed for next generation ICT environments.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
ISO New England Dataset: http://www.iso-ne.com/isoexpress/web/reports/load-and-demand.
References
Jouet, S., Cziva, R., Pezaros, D.P.: Arbitrary packet matching in openflow. In: 16th IEEE International Conference on High Performance Switching and Routing (IEEE HPSR), Budapest, Hungary, 1–4 July 2015
Marnerides, A.K., Bhandari, A., Murthy, H., Mauthe, A.U.: A multilevel resilience framework for unified networked environments. In: 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM), Ottawa, ON (2015)
Ariffin, M.A.M., Marnerides, A.K., Mauthe, A.U.: Multi-level resilience in networked environments: concepts & principles. In: IEEE CCNC 2017, Las Vegas, NV, USA (2017, to appear)
McKeown, N., Anderson, T., Balakrishnan, H., Parulkar, G., Peterson, L., Rexford, J., Shenker, S., Turner, J.: Openflow: enabling innovation in campus networks. In: ACM SIGCOMM, March 2008
Sterbenz, J., Hutchison, D., Cetinkaya, E., Jabbar, A., Rohrer, J., Schoeller, M., Smith, P.: Redundancy, diversity, and connectivity to achieve multilevel network resilience, survivability and disruption tolerance. J. Telecommun. Syst. 56(1), 17–31 (2014)
Marnerides, A.K., Schaeffer-Filho, A., Mauthe, A.: Traffic anomaly diagnosis in Internet backbone networks: a survey. Comput. Netw. 73, 224–243 (2014). http://dx.doi.org/10.1016/j.comnet.2014.08.007. ISSN 1389–1286
Watson, M.R., Shirazi, N., Marnerides, A.K., Mauthe, A., Hutchison, D.: Malware detection in cloud computing infrastructures. IEEE Trans. Dependable Secure Comput. 13(2), 192–205 (2016)
Ud Din, G.M., Marnerides, A.K.: Short term power load forecasting using deep neural networks. In: IEEE International Conference on Computing, Networking and Communications (ICNC) 2017, Silicon Valley, USA, January 2017, to appear
Fan, S., Hyndman, R.J.: Short-term load forecasting based on a semi-parametric additive model. IEEE Trans. Power Syst. 27(1), 134–141 (2012)
Acknowledgments
The work has been supported in part by the UK Engineering and Physical Sciences Research Council (EPSRC) grants EP/N033957/1, EP/L026015/1, and EP/L005255/1. The authors are grateful to Simon Jouet, Long Chen, Noor Shirazi, Steven Simpson and Ghulam Mohi Ud Din for their valuable input.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Marnerides, A.K., Pezaros, D.P., Jose, J., Mauthe, A.U., Hutchison, D. (2017). A Situation Aware Information Infrastructure (\(SAI^2\)) Framework. In: Gaggi, O., Manzoni, P., Palazzi, C., Bujari, A., Marquez-Barja, J. (eds) Smart Objects and Technologies for Social Good. GOODTECHS 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 195. Springer, Cham. https://doi.org/10.1007/978-3-319-61949-1_20
Download citation
DOI: https://doi.org/10.1007/978-3-319-61949-1_20
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-61948-4
Online ISBN: 978-3-319-61949-1
eBook Packages: Computer ScienceComputer Science (R0)