Mobile devices allow users to access information resources and services over many different distribution channels – anywhere, anytime, anyhow. Technical and usage characteristics of mobile systems are highly variable with respect to user capabilities and context characteristics, therefore an immense level of flexibility is required.
Barbara Pernici – with contributions by the research groups involved in the project – presents here a framework for mobile information systems, focussing on quality of service and adaptability at all architectural levels, ranging from adaptive applications to e-services, middleware, and infrastructural elements, as it was developed in the ‘Multichannel Adaptive Information Systems (MAIS)’ project. The design models, methods, and tools developed in the project allow the realization of adaptive mobile information systems in a variety of different architectures.
The book is divided into three parts: core technologies for mobile information systems (e.g., adaptive middleware and flexible e-services), enabling technologies (like data management on small devices or adaptive low-power hardware architectures or wireless networks), and methodological aspects of mobile information systems design (such as service profiling or user interface and e-service design for context-aware applications). It provides researchers in academia and industry with a comprehensive vision on innovative aspects which can be used as a basis for the development of new frameworks and applications.
สารบัญ
Core Technologies for Mobile Information Systems.- Basic Concepts.- Reference Architecture and Framework.- E-Services.- Middleware and Architectural Reflection.- Enabling Technologies.- Adaptive Networks.- Data Management.- Low-Power Architectures for Mobile Systems.- Design of Mobile Information Systems.- Methods and Tools for the Development of Adaptive Applications.- Development of Services for Mobile Information Systems.- Knowledge-Based Tools for E-Service Profiling and Mining.- Applications. Multi Lezi: Implementation of an Adaptive Multichannel Learning Environment.
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Barbara Pernici is full professor of Computer Engineering at Politecnico di Milano.
Her research interests include cooperative information systems, workflow management systems, information systems modeling and design, mobile information systems, temporal databases, applications of database technology. She holds a Dr. Eng. Degree from Politecnico di Milano and a Master of Science in Computer Science from Stanford University.
She has published around 35 papers in international journals, including IEEE and ACM Transactions, co-edited 10 books, and published about 120 papers at international level. She is an editor of the Requirements Engineering Journal. She is chief scientist of the Italian FIRB MAIS (Multichannel Adaptive Information Systems) Project, 2002-2005. She is chair of Working Group 8.1 on Design and Evaluation of Information Systems of IFIP (International Federation for Information Processing).
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