By Dragan Stojanovic
Advances in cellular computing, instant communications, cellular positioning, and sensor applied sciences have given upward thrust to a brand new type of context-aware cellular and ubiquitous functions. Context-Aware cellular and Ubiquitous Computing for better Usability: Adaptive applied sciences and functions offers thorough insights and demanding learn advancements on cellular applied sciences and companies. this crucial reference publication explains how clients of such purposes entry clever and adaptable details providers, maximizing comfort and minimizing intrusion.
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Extra info for Context-Aware Mobile and Ubiquitous Computing for Enhanced Usability: Adaptive Technologies and Applications (Premier Reference Source)
The central idea is to progressively deliver a personalized content to the users: first, information that is essential for the users is provided, and then, some complementary information, if needed, is made available. We use a generic model, the Progressive Access Model (PAM), that is described in UML. , 2003). Each defined organization of the data model is called stratification, which can be defined as an ordered sequence of content subsets. Each profile is then composed of a set of filtering rules, which filter the available content, and the corresponding stratifications that organize the selected content in multiple levels.
Internal view of a component implementing content filtering adaptation Figure 9. An integrated approach to context-aware adaptation 19 Context-Aware Adaptation in an Ecology of Applications 2. 3. 4. 5. Resource-awareness: Request the current available resources on the device. This includes the CPU load, the memory and bandwidth usage, and the battery status. Context dependencies: Check which context information is required by the active applications for personalized content and optimal component behavior.
Firstly, this would create a single point of failure and second, a single entity will never achieve a complete view on the environment. This is why we believe that single nodes have to coordinate their deployment activities with their direct neighbors only, which calls for self-organizing deployment behavior. In Rigole & Berbers (2006), a decentralized component choreography mechanism is presented that Context-Aware Adaptation in an Ecology of Applications Figure 4. Component relocation steps with state transfer.