An Energy Aware Context Model for Green IT Service Centers

  • Ioan Salomie
  • Tudor Cioara
  • Ionut Anghel
  • Daniel Moldovan
  • Georgiana Copil
  • Pierluigi Plebani
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6568)


In this paper we propose the development of an Energy Aware Context Model for representing the service centre energy/performance related data in a uniform and machine interpretable manner. The model is instantiated at run-time with the service center energy/performance data collected by monitoring tools. Energy awareness is achieved by using reasoning processes on the model instance ontology representation to determine if the service center Green and Key Performance Indicators (GPIs/KPIs) are fulfilled in the current context. If the predefined GPIs/KPIs are not fulfilled, the model is used as primary resource to generate run-time adaptation plans that should be executed to increase the service center’s greenness level.


Service Center Context Model Energy Awareness Reinforcement Learning 


  1. 1.
    Kaplan, J.M., Forrest, W., Kindler, N.: Revoluzioning Data Center Energy Efficiency, McKinsey&Company, Technical Report (2008)Google Scholar
  2. 2.
    GAMES Research Project,
  3. 3.
    Wang, K.: Context awareness and adaptation in mobile learning. In: 2nd IEEE Int. Work. on Wireless and Mobile Tech. in Education, pp. 154–158 (2004) ISBN:0-7695-1989-XGoogle Scholar
  4. 4.
    Yu, Z.: iMuseum: A scalable context-aware intelligent museum system. Computer Communications 31(18), 4376–4382 (2008)CrossRefGoogle Scholar
  5. 5.
    Burghardt, C., Reisse, C.: Implementing scenarios in a Smart Learning Environment. In: 6th Annual IEEE Int. Conf. on Perv. Comp. and Comm. (2008) ISBN: 0-7695-3113-XGoogle Scholar
  6. 6.
    Pareschi, L., Riboni, D.: Composition and Generalization of Context Datafor Privacy Preservation. In: 6th Annual IEEE Int. Conf. on Perv. Comp. and Comm. (2008)Google Scholar
  7. 7.
    Grossniklauss, M.: Context Aware Data Management, 1st edn. VDM Verlag (2007) ISBN 978-3-8364-2938-2 Google Scholar
  8. 8.
    Anderson, K.M., Hansen, F.A., Bouvin, N.: Templates and queries in contextual hypermedia. In: Proc. of the 17th Conf. on Hypertext and hypermedia, pp. 99–110 (2006)Google Scholar
  9. 9.
    Raz, D., Juhola, A.T.: Fast and Efficient Context-Aware Services. Wiley Series on Comm. Networking & Distributed Systems, pp. 5–25 (2006) ISBN-13: 978-0470016688Google Scholar
  10. 10.
    Hofer, T., Schwinger, W.: Context-awareness on mobile devices – the hydrogen approach. In: The 36th Annual Hawaii International Conference on System Sciences, USA, p. 292 (2003)Google Scholar
  11. 11.
    Cafezeiro, I., Hermann, E.: Ontology and Context. In: 6th Annual IEEE Int. Conf. on Perv. Comp. and Comm. (2008) ISBN: 0-7695-3113-XGoogle Scholar
  12. 12.
    Huaifeng, Q.: Integrating Context Aware with Sensornet. In: Proc. of 1st Int Conf. on Semantics, Knowledge, Grid (2006) ISBN:0-7695-2534-2Google Scholar
  13. 13.
    Sirin, E., Parsia, B.: Pellet: A practical OWL-DL reasoner, Web Semantics: Science. Services and Agents on the World Wide Web 5(2), 51–53 (2007)CrossRefGoogle Scholar
  14. 14.
    Amoui, M., Salehie, M.: Adaptive Action Selection in Autonomic Software Using Reinforcement Learning. In: ICAC 2008, pp. 175–181 (2008) ISBN 0-7695-3093-1 Google Scholar
  15. 15.
    Bernstein, A., Kaufmann, E.: Querying the Semantic Web with Ginseng:A Guided Input Natural Language Search Engine. In: 15th Work. on Information Tech. and Syst. (2005)Google Scholar
  16. 16.
    Cioara, T., Anghel, I., Salomie, I.: A Generic Context Model Enhanced with Self-configuring Features. JDIM 7(3), 159–165 (2009) ISSN 0972-7272 Google Scholar
  17. 17.
    Material Stock in German Data Centres (2010),
  18. 18.
    Cioara, T., Anghel, I., Salomie, I.: A Policy-based Context Aware Self-Management Model. In: SYNASC 2009, pp. 333–341 (2009) ISBN: 978-0-7695-3964-5Google Scholar
  19. 19.
    Baldauf, M., Dustdar, S., Rosenberg, F.: A Survey on Context Aware Systems. International Journal of Ad Hoc and Ubiquitous Computing 2(4), 263–277 (2007)CrossRefGoogle Scholar
  20. 20.
    Truong, H.-L., Dustdar, S.: A Survey on Context-aware Web Service Systems. International Journal of Web Information Systems 5(1), 5–31 (2009)CrossRefGoogle Scholar
  21. 21.
    Cioara, T., Anghel, I., Salomie, I., Pernici, B.: A Context Aware Self-Adapting Algorithm for Managing the Energy Efficiency of IT Service Centers. In: UbiCC 2010 (2010)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Ioan Salomie
    • 1
  • Tudor Cioara
    • 1
  • Ionut Anghel
    • 1
  • Daniel Moldovan
    • 1
  • Georgiana Copil
    • 1
  • Pierluigi Plebani
    • 2
  1. 1.Computer Science DepartmentTechnical University of Cluj-NapocaCluj-NapocaRomania
  2. 2.Computer EngineeringPolitecnico di MilanoMilanoItaly

Personalised recommendations