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System challenges for ubiquitous & pervasive computing

Published: 15 May 2005 Publication History

Abstract

The terms Ubiquitous and Pervasive computing were first coined at the beginning of the 90's, by Xerox PARC and IBM respectively, and capture the realization that the computing focus was going to change from the PC to a more distributed, mobile and embedded form of computing. Furthermore, it was predicted by some researchers that the true value of embedded computing would come from the orchestration of the various computational components into a much richer and adaptable system than had previously been possible. Now some fifteen years later, we have made progress towards these aims. The Hardware platforms used to implement these systems encapsulate significant computation capability in a small form-factor, consume little power and have a small cost. However, the system software capabilities have not advanced at a pace that can take full advantage of this infrastructure. This paper will describe where software and hardware have combined to enable ubiquitous computing, where these systems have limitations and where the biggest challenges still remain.

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      cover image ACM Conferences
      ICSE '05: Proceedings of the 27th international conference on Software engineering
      May 2005
      754 pages
      ISBN:1581139632
      DOI:10.1145/1062455
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 15 May 2005

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      Author Tags

      1. context-aware
      2. power management
      3. ubiquitous & pervasive computing
      4. user interface adaptation
      5. wireless discovery

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      Cited By

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      • (2019)Towards Efficient and Scalable Data-Intensive Content Delivery: State-of-the-Art, Issues and ChallengesHigh-Performance Modelling and Simulation for Big Data Applications10.1007/978-3-030-16272-6_4(88-137)Online publication date: 26-Mar-2019
      • (2019)Internet of Things: An Opportunity for Advancing Universal AccessWeb Accessibility10.1007/978-1-4471-7440-0_39(777-790)Online publication date: 4-Jun-2019
      • (2015)A ubiquitous recommender system based on collaborative filtering and social networking dataInternational Journal of Intelligent Engineering Informatics10.1504/IJIEI.2015.0698953:2/3(186-204)Online publication date: 1-Jun-2015
      • (2014)Secure bootstrapping of cloud-managed ubiquitous displaysProceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/2632048.2632049(739-750)Online publication date: 13-Sep-2014
      • (2014)Novel Categorisation Techniques for Liveness DetectionProceedings of the 2014 Eighth International Conference on Next Generation Mobile Apps, Services and Technologies10.1109/NGMAST.2014.51(153-158)Online publication date: 10-Sep-2014
      • (2014)Ubiquitous recommender systemsComputing10.1007/s00607-013-0351-z96:3(223-257)Online publication date: 1-Mar-2014
      • (2014)Factors Influencing the Quality of the User Experience in Ubiquitous Recommender SystemsDistributed, Ambient, and Pervasive Interactions10.1007/978-3-319-07788-8_35(369-379)Online publication date: 2014
      • (2013)Sharing Kinetic Interactions for Mobile DevicesDesign, User Experience, and Usability. User Experience in Novel Technological Environments10.1007/978-3-642-39238-2_36(327-336)Online publication date: 2013
      • (2012)Self-organizing virtual macro sensorsACM Transactions on Autonomous and Adaptive Systems10.1145/2168260.21682627:1(1-28)Online publication date: 4-May-2012
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