By Apostolos Malatras
Pervasive computing environments in response to the ever present communications paradigm have attracted major study curiosity and feature stumbled on elevated applicability in advertisement settings, attributed to the truth that they supply seamless, personalized, and unobtrusive companies to their clients. examine on pervasive and ubiquitous computing has been prolific over the last years, resulting in a good number of corresponding assorted software program and infrastructures, networking suggestions, methodologies, and frameworks.Pervasive Computing and Communications layout and Deployment: applied sciences, traits, and purposes has a huge scope because it is meant to supply an summary at the normal and interdisciplinary subject of pervasive computing and communications. specific facets studied during this booklet contain permitting elements, key features, destiny developments, person adoption, privateness concerns and effect of pervasive computing on details and Communications expertise (ICT) and its linked social elements. The e-book is meant to function a reference for desktop technological know-how practitioners, scholars and researchers, overlaying layout ideas and appropriate implementation concepts and applied sciences concerning pervasive computing.
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Additional resources for Pervasive Computing and Communications Design and Deployment: Technologies, Trends and Applications
For stream query processing, infinite tuple streams potentially require unbounded memory space in order to be joined, as every tuple should be stored to be compared with every tuple from the other stream. Tuple sets should then be bounded: a window defines a bounded subset of tuples from a stream. New extensions of classical query languages have been proposed to take into account these new requirements, mainly with the notion of windowed queries and aggregation. , the last 100 tuples, tuples within the last 5 minutes).
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Kumar, V. (2001). Location dependent query processing. In Proceedings of the 2nd ACM International Workshop on Data Engineering for Wireless and Mobile Access, (pp. 47–53). Sistla, A. , & Dao, S. (1997). Modelling and querying moving objects. In Proceedings of the 13th International Conference on Data Engineering, IEEE Computer Society, (pp. 422–432). , & Roussopoulos, N. (2001). K-nearest neighbor search for moving query point. In Proceedings of the International Symposium on Advances in Spatial and Temporal Databases, Springer Verlag.
Pervasive Computing and Communications Design and Deployment: Technologies, Trends and Applications by Apostolos Malatras