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This paper presents a cloud-based Data Management Platform (DMP) for use in the Ubiquitous Consumer Wireless World (UCWW) environment for the management of raw data, i.e., for turning ‘big data’ logs of consumers' mobile services activities into actionable analytic dataset, supporting an enhanced Always Best Connected and best Served (ABC&S) access to mobile services. It facilitates the provision...
A distributed cloud-based service recommendation system, used to discover and suggest to mobile users (consumers) the ‘best’ mobile services in the emerging ubiquitous consumer wireless world (UCWW), is described. The system - built with Hadoop, Storm, and Kafka - will allow consumers to receive timely recommendations about the ‘best’ instances of mobile services, they are interested in, anywhere-anytime-anyhow.
The performance of data access plays an important role for the applications of the emerging ubiquitous consumer wireless world (UCWW). As a 'Not only SQL' (NoSQL) database, Redis has been deployed in the UCWW cloud as an open-source key value store acting as the key component in the system. Given the limited performance of a single Redis node, to improve the system's performance and handle large amounts...
This paper proposes a push-notification service for use in the emerging ubiquitous consumer wireless world (UCWW). It follows the client/server design pattern and is developed based on the extensible messaging and presence protocol (XMPP). On the client side, a mobile application collects user behavior information and periodically sends it (over HTTP) to the UCWW cloud in order to identify the 'best'...
This paper describes the design and implementation of a cloud-based service recommendation system used to discover and suggest to users the ‘best’ mobile services in the emerging ubiquitous consumer wireless world (UCWW). With this distributed system, the UCWW cloud provider collects user behavior (e.g., Internet logs, web browsing, searching for services, participation in social networks, online...
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