 and sharing of rich resources. It aims to integrate a wide range of basic service capacity, opening up a variety of network resources, on the third-party professional services providers/ content providers and its business development to provide support and unified management [36]. With the rapid development of telecom market and various telecom services, the amount of customers is also increasing expanding. How to satisfy various cus- tomers, and how to better manage customer relationships are two key issues. Reference [37] describes a profiling engine that automatically learn user profiles (user preferences, interest domains and behaviors) by aggregating traces on con- verged SDP such as IPTV, mobile video, or IMS. User profile management and user preference surveys can further foster the development of business intelligence to better develop and deploy telecom services and service rules. Besides, as reference [37] indicated, such a profiling engine enables a wide range of personalized applica- tions including targeted advertising, personalized portals, content recommenders, and social networking applications. Assorted user device supports are one of the supports of SDP, while pervasive computing and systems arouse further requirements of SDP. Personalizable ser- vice discovery architecture in pervasive systems was proposed by Ref. [38]. It provides Overview of Cognitive NGSDP Model an approach to perform personalized service discovery based on a four-phase fil- tering process, including service type filtering, semantic filtering, contextual filtering, and privacy-based filtering, which can help find the best services matching the search criteria, SO that QoE toward personalized services would be better satis- fied based on this architecture. Hybrid telecom services should be deployed and applied in various environ- ments, while Personal Area Networks (PAN) and Wireless Sensor Networks (WSN) are not exceptions. Reference [39] addresses problems of integration of Personal Networks (PN) services into the future a