Authors:
Ivan Ganchev
1
;
2
;
Máirtín O'Droma
1
;
Nikola Nikolov
3
;
1
and
Zhanlin Ji
1
;
4
Affiliations:
1
Telecommunications Research Centre, University of Limerick, Ireland
;
2
Department of Computer Systems, Plovdiv University, Bulgaria
;
3
Department of Computer Sciense and Information Systems,University of Limerick, Ireland
;
4
Research Centre for Bioengineering and Sensing Technology, University of Science and Technology Beijing, China
Keyword(s):
Ubiquitous Consumer Wireless World (UCWW); Future Networks (FN); Cloud-based System; Software Architecture, Middleware, Service Contextualization, Context Awareness.
Abstract:
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 decisi
ons 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).
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