Despite their limited put/get interface, simple hosted storage services are becoming very popular. Many companies and individuals are using them to store and backup data. Recent work has demonstrated that it is even possible to build file systems on top of such abstractions. However, the available API lacks some features that could prove beneficiary in building distributed storage systems on to...

Ubiquitous computing applications must have access to context information to provide context-aware services. The literature reports on applications that process and store context information as part of their functionality and also on reusable infrastructures dedicated to capturing, storing and processing context information. We advocate that infrastructures aimed at supporting context-aware app...

Location-based services or LBS refers to value-added service by processing information utilizing mobile user location. For this kind of LBS, the role of security service is very important in the LBS that store and manage the location information of mobile devices and support various application services using those location information. And in all phases of these functions that include acquisit...

1. Abstract.................................................1 2. Overview.................................................2 3. Requirements.............................................3 3.1 Operational Model Requirements...........................3 3.1.1. Host specific and Application Monitoring.................3 3.1.2. Dependencies among applications..........................3 3.1.3. Error gen...

This work presents an experimental system for data processing in space, time and semantics dimensions using current Semantic Web technologies. The paper describes how we obtain geographic and event data from Internet sources and also how we integrate them into an RDF store. We briefly introduce a set of functionalities in space, time and semantics dimensions. These functionalities are implement...

MEDICAL and non-medical workers in the health services, medical schools and research units of the world will find in this book an invaluable store of information about the collection, presentation, interpretation and use of statistics relating to sickness and health of smiall and large population groups. The author's experience of practical statistics, his work with the World Health Organisatio...

The PAPAyA platform has been designed to ingest, store and process in silico large genomics datasets using analysis algorithms based on pre-defined knowledge databases with the goal to offer personalized therapy guidance to physicians in particular for cancers and infectious diseases. This new highly scalable, secure and extensible framework is deployed on a cloud-based digital health platform ...

This chapter presents practical approaches to data processing in space, time and theme dimensions using current Semantic Web technologies. It describes how we obtain geographic and event data from Internet sources and also how we integrate them into an RDF store. We briefly introduce a set of functionalities in space, time and semantics. These functionalities are implemented based on our existi...

In particular, we address the problem of each peer choosing the k best pointers to store in addition to its index pointers to minimize the average query lookup times. We focus on two popular P2P systems, namely Pastry and Chord: we exploit the inherent structure of these systems to develop efficient, scalable algorithms for optimally choosing the k additional pointers. Simulations with Chord an...

In this paper, we propose a scheme to push personalized recommendation and advertisement services for the shopping people based on behavior patterns, inferring by significant shopping stores in the shopping mall from mobile phone data. The store-level localization in the shopping mall is obtained by sparse calibration orientated semi-supervised machine learning method, called Semi-supervised Ex...