Ivan Ganchev, Ivan Ganchev, Máirtín O'Droma, Nikola Nikolov, Nikola Nikolov, Zhanlin Ji, Zhanlin Ji


This paper describes the design and development of a novel cloud-based system for increased service contextualization in future wireless networks. The principal objective is the support of mobile users (consumers) in a Ubiquitous Consumer Wireless World (UCWW) seeking to choose and select the ‘best’ service instance in a UCWW environment matched to their dynamic contextualized and personalized service delivery requirements and expectations, thereby increasing user freedom in where, when and how they access desired services, and increasing user-driven networking. The design challenges to create such a cloud-based system with an ever-enhanced capacity to be attuned to a user-client’s dynamic contexts, and do this for all its users, are addressed, and software infrastructural design solutions suggested. The cloud idea proposed here is one which should yield efficiencies and saving for consumers, operate as an additional ‘behind-the-scenes’ decision support subsystem to make smart decisions based on mining of the most up-to-date data stored in the cloud repositories related to service contexts and personalized profiles. Rather than the use of known efficient heuristic methods employed with large and complex data structures, together with associated algorithms solving the combinatorial optimization problems, an alternative method, proposed here for making predictions, is to discover patterns in the behaviour of the individual clientconsumer, to bring into play, in the decision process, patterns and trends of other client-consumers seeking the same or similar services, and also the constant update of the user’s wireless environment context through information garnered from other sources, such as wireless access service provider updates, teleservice provider updates, and data sensed by the sensors in the environment. Indentifying and addressing the need as directly as this is a novel approach towards providing context-aware personalized services. It is particularly novel, and desirable, in the UCWW context. Hence, this consumer supportive smart repository solution may appropriately be called a UCWW cloud. The paper sets out an infrastructural design of this cloud, ordered within a conceptual UCWW software architecture, together with its various elements, e.g., decision support subsystem and mobile network environment elements of personalized information retrieval (PIR).


  1. Alliance, O., 2007. OSGi service platform, core specification, release 4, version 4.1, OSGi Specification.
  2. Avvenuti, M., Bernardeschi, C., Francesco, N. D., Masci, P., 2012. JCSI: A tool for checking secure information flow in Java Card applications, In Journal of Systems and Software.
  3. Borthakur, D., 2007. The Hadoop distributed file system: Architecture and design. In Hadoop Project Website, vol. 11.
  4. Capra, L., Emmerich, W., Mascolo, C. Carisma, 2003. Context-aware reflective middleware system for mobile applications. In IEEE Transactions on Software Engineering, 29 (10).
  5. Carugi, M., Hirschman, B., et al., 2005. Introduction to the ITU-T NGN focus group release 1: target environment, services, and capabilities. In IEEE Communications Magazine. 43(10).
  6. Cook, W., Cunningham, W., Pulleyblank, W., Schrijver, A., 1997. Combinatorial Optimization. John Wiley & Sons. 1st edition.
  7. Ekstrom, H., Furuskar, A., et al., 2006. Technical solutions for the 3G long-term evolution. In IEEE Communications Magazine, 44(3).
  8. Fledel, Y., Shabtai, A., Potashnik, D., Elovici, Y., 2012. Google Android: An Updated Security Review. In Mobile Computing, Applications, and Services.
  9. Flynn, P., Ganchev, I., O'Droma, M., 2006. Wireless Billboard Channels: Vehicle and Infrastructural Support for Advertisement, Discovery, and Association of UCWW Services, In: Annual Review of Communications, Vol. 59 (Chicago, Ill.: International Engineering Consortium).
  10. Ganchev, I., O'Droma, M., Siebert, M., Bader, F., Chaouchi, H., et al., 2006. A 4G Generic ANWIRE System and Service Integration Architecture. In ACM SIGMOBILE Mobile Computing and Communications Review, 10(1).
  11. Ganchev, I., O'Droma, M., 2007. New personal IPv6 address scheme and universal CIM card for UCWW. In ITST'07, 7th International Conference on Intelligent Transport Systems Telecommunications.
  12. Ganchev, I., O'Droma, M., Wang, N., 2009. ConsumerOriented Incoming Call Connection Service for UCWW. In Springer Wireless Personal Communications, 50(1).
  13. Garey, M., Johnson, D., 1979. Computers and Intractability: A Guide to the Theory of NPCompleteness, W. H. Freeman. USA.
  14. Ghorab, M. R., Zhou, D., O'Connor, A., Wade, V., 2012. Personalised Information Retrieval: survey and classification. In User Modeling and User-Adapted Interaction, Springer. Netherlands.
  15. Henricksen, K., Indulska, J., McFadden, T., Sasitharan Balasubramaniam, S., 2005. Middleware for Distributed Context-Aware Systems. In OTM'05, On the Move to Meaningful Internet Systems. LNCS 3760, Springer.
  16. ITU-T Draft Rec. Q.3202.1 (Q.nacf.auth1), 2008. Authentication Protocols based on EAP-AKA for Interworking among 3GPP, WiMax, and WLAN in NGN.
  17. Jakab, J., Ganchev, I., O'Droma, M., 2011. Third-Party Charging and Billing for the Ubiquitous Consumer Wireless World. In International Journal on Communications, Antenna and Propagation, 1(2).
  18. JDiameter Project, URL (2013) http://code.google.com/p/jdiameter/.
  19. Kibria, M. R., Jamalipour, A., 2007. On designing issues of the next generation mobile network. In IEEE Network. 21(1).
  20. Mikut, R., Reischl, M., 2011. Data mining tools. In Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 1.
  21. O'Droma, M., Ganchev, I., 2007. Toward a ubiquitous consumer wireless world, In IEEE Wireless Communications, 14 (1).
  22. O'Droma, M., Ganchev, I., 2008. Strategic Innovations through NGN Standardization for a Ubiquitous Consumer Wireless World. In 1st ITU-T Kaleidoscope Academic Conference "Innovations in NGN".
  23. O'Droma M., Ganchev, I., 2010. The Creation of a Ubiquitous Consumer Wireless World through Strategic ITU-T Standardization. In IEEE Communications Magazine, 48 (10).
  24. Papadimitriou, C., Steiglitz, K., 1998. Combinatorial optimization: algorithms and complexity. Dover. 2nd edition.
  25. Passas, N., Paskalis, S., Kaloxylos, A., et al., 2004. Enabling technologies for the 'always best connected' concept. In Wiley Wireless Communications and Mobile Computing, 6(4).
  26. Raskin, J., 2000. The humane interface - New directions for designing interactive systems. Addison Wesley. Reading, MA, USA.
  27. Román, M., Hess, C.K., Cerqueira, R., Ranganathan, A., Campbell, R.H., Nahrstedt, K., 2002. Gaia: A Middleware Infrastructure to Enable Active Spaces. In IEEE Pervasive Computing.
  28. Romero, D, 2008. Context-Aware Middleware: An overview. Paradigma.
  29. SIMAlliance, Open Mobile API: An Introduction. URL(2013) http://www.simalliance.org/.
  30. Sugiyama, K., Hatano, K., Yoshikawa, M., 2004. Adaptive Web search based on user profile constructed without any effort from users. In WWW 7804, 13th International Conference on World Wide Web.
  31. Teevan, J., Morris, M.R., Bush, S., 2009. Discovering and using groups to improve personalized search. In WSDM 2009, 2nd ACM International Conference on Web Search and Data Mining.
  32. Toseef, U., Khan, M.A., Gorg, C., Timm-Giel, A., 2011. User satisfaction based resource allocation in future heterogeneous wireless networks, In CNSR 2011, 9th Annual Communication Networks and Services Research Conference.
  33. Usama, F., Piatetsky-Shapiro, G., Smyth, P., 1996. From Data Mining to Knowledge Discovery in Databases. In AI Magazine, 17.
  34. Witten, I, Frank, E., Hall, M, 2011. Data Mining: Practical Machine Learning Tools and Techniques. Elsevier. 3rd edition.
  35. Wolsey, L., Nemhauser, G., 1999. Integer and Combinatorial Optimization. Wiley-Interscience. New York, NY, USA.
  36. Yau, S.S., Karim, F., Wang, Y., Wang, B., Gupta, S.K.S., 2002. Reconfigurable context-sensitive middleware for pervasive computing. In IEEE Pervasive Computing, 1(3).

Paper Citation

in Harvard Style

Ganchev I., Ganchev I., O'Droma M., Nikolov N., Nikolov N., Ji Z. and Ji Z. (2013). A UCWW CLOUD-BASED SYSTEM FOR INCREASED SERVICE CONTEXTUALIZATION IN FUTURE WIRELESS NETWORKS . In Proceedings of the Second International Conference on Telecommunications and Remote Sensing - Volume 1: ICTRS, ISBN 978-989-8565-57-0, pages 69-78. DOI: 10.5220/0004785500690078

in Bibtex Style

author={Ivan Ganchev and Ivan Ganchev and Máirtín O'Droma and Nikola Nikolov and Nikola Nikolov and Zhanlin Ji and Zhanlin Ji},
booktitle={Proceedings of the Second International Conference on Telecommunications and Remote Sensing - Volume 1: ICTRS,},

in EndNote Style

JO - Proceedings of the Second International Conference on Telecommunications and Remote Sensing - Volume 1: ICTRS,
SN - 978-989-8565-57-0
AU - Ganchev I.
AU - Ganchev I.
AU - O'Droma M.
AU - Nikolov N.
AU - Nikolov N.
AU - Ji Z.
AU - Ji Z.
PY - 2013
SP - 69
EP - 78
DO - 10.5220/0004785500690078