The field of ubiquitous computing envisages an era when the average consumer owns hundreds or thousands of mobile and embedded computing devices. These devices will perform actions based on the context of their users, and therefore ubiquitous systems will gather, collate and distribute much more personal information about individuals than computers do today. Much of this personal information will be considered private, and therefore mechanisms which allow users to control the dissemination of these data are vital. Location information is a particularly useful form of context in ubiquitous computing, yet its unconditional distribution can be very invasive.

Evolving grid resources, tools, and applications offer a means of dealing intelligently with enormous quantities of data. The authors survey the field and propose a software architecture that integrates semantic modeling and knowledge discovery with grid technologies. E- S c i e n c e

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Main concepts to handle in ambient computing applications are hard to integrate at the same time. After studying middlewares handling a part of the challenge, and after studying possiblities of main paradigms in name of CBSE and SOA, we present our Service Lightweight Component Architecture (SLCA) model, based on three main paradigms: Web services, enabling entities interoperability, dynamic discovery, and distribution; lightweight component assemblies to create composite Web services, allowing a high dynamicity; and finally events, giving applications reactivity and a maximal decoupling between entities, thus enabling an even higher dynamicity. This leads to conciliate both service oriented and event driven approaches in a new way to manage a graph of cooperating services in ubiquitous systems.

Mobile information systems (IS) hold great promise to support organizational processes. Clear guidelines, however, of how to design effective mobile IS in support of organizational processes have not been developed. Based on earlier research that emphasizes the importance of fit between organizational tasks and technology and that develops fit profiles for specific task−technology combinations, this paper develops a task−technology fit (TTF) profile for mobile IS to support managerial tasks. We suggest a three−way match between dimensions of managerial tasks, mobile IS, and the mobile use context. We find that use situations characterized by high distraction and poor quality of network connection are particularly challenging for the design of mobile IS, and that the user interface requires particular attention. The proposed conceptual model of task−technology fit provides guidelines for the design of effective mobile IS and for future research studies.

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Pervasive computing appears like a new computing era based on networks of objects and devices evolving in a real world, radically different from distributed computing, based on networks of computers and data storages. Contrary to most context-aware approaches, we work on the assumption that pervasive software must be able to deal with a dynamic software environment before processing contextual data. After demonstrating that SOA (Service oriented Architecture) and its numerous principles are well adapted for pervasive computing, we present our extended SOA model for pervasive computing, called Service Lightweight Component Architecture (SLCA). SLCA presents various additional principles to meet completely pervasive software constraints: software infrastructure based on services for devices, local orchestrations based on lightweight component architecture and finally encapsulation of those orchestrations into composite services to address distributed composition of services. We present a sample application of the overall approach as well as some relevant measures about SLCA performances. 1

An Information Systems Design Theory (ISDT) is a prescriptive theory that offers theory-based principles that can guide practitioners in the design of effective Information Systems and set an agenda for on-going research. This paper introduces the origins of the ISDT concept and describes one ISDT for Web-based Education (WBE). The paper shows how this ISDT has, over the last seven years, produced a WBE Information System that is more inclusive, flexible and is more closely integrated with the needs of its host organization.

Ubiquitous computing environments are the culmination of the advances from both mobile computing – the ability to move computing services with us – and pervasive computing – the ability to obtain information from the environment and dynamically configure services – such that “any computing device, while moving with us, can build incrementally dynamic models of its various environments and configure its services accordingly ” (Lyytinen & Yoo, 2002). As with many past technologies, a number of technical and behavioral factors will interplay to influence the success of any design or deployment. Once such factor, trust, has become an increasingly important topic in the computing disciplines. Researchers are studying trust in a variety of technology-based contexts such as e-business (Coutu, 1998; Friedman, Kahn & Howe,

process semantics Current problem solving methodology by computers requires application domain expert to develop programs in a programming language. Software tools designed to ease this task and the expansion of computer use in practically all aspects of human life lead to an increasing software complexity. In this paper we present a solution to the problems resulting from increasing software complexity by developing a methodology for problem solving with the computer where problem solving process is split between application domain expert and software expert as follows: (1) AD expert develops solution algorithms using the natural language of the application domain; (2) IT expert implements universal algorithms that characterize the application domain; (3) the AD is provided with an interpreter that implements AD algorithms in terms of the processes implementing the components of the AD algorithms. This is realized by Computational Emancipation of the Application Domain, (CEAD). Here we illustrate these ideas using linear algebra as application domain. 1. Application-driven problem solving methodology Throughout the problem solving process, problem solvers manipulate concepts from their domain of interest (problem domain) to form problem solutions. The invention of computers allowed the problem solving process to evolve so that computers could be used as problem solving tools [Scr97], [LM97]. We now see problem solutions as complex processes which can be carried out by the digital computer. But current methodology of computer use for problem