SmartShadow: Models and Methods for Pervasive Computing

  • Zhaohui Wu
  • Gang Pan

Part of the Advanced Topics in Science and Technology in China book series (ATSTC)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Zhaohui Wu, Gang Pan
    Pages 1-24
  3. Zhaohui Wu, Gang Pan
    Pages 25-42
  4. Zhaohui Wu, Gang Pan
    Pages 43-66
  5. Zhaohui Wu, Gang Pan
    Pages 67-82
  6. Zhaohui Wu, Gang Pan
    Pages 83-100
  7. Zhaohui Wu, Gang Pan
    Pages 101-127
  8. Back Matter
    Pages 129-130

About this book

Introduction

SmartShadow: Models and Methods for Pervasive Computing offers a new perspective on pervasive computing with SmartShadow, which is designed to model a user as a personality “shadow” and to model pervasive computing environments as user-centric dynamic virtual personal spaces. Just like human beings’ shadows in the physical world, it follows people wherever they go, providing them with pervasive services. The model, methods, and software infrastructure for SmartShadow are presented and an application for smart cars is also introduced.
 
The book can serve as a valuable reference work for researchers and graduate students in the field of pervasive/ubiquitous computing.

Zhaohui Wu is a Professor at Zhejiang University, Hangzhou, China. Gang Pan is a Professor at the same institute.

Keywords

Pervasive computing Smart car SmartShadow Software infrastructure Task migration

Authors and affiliations

  • Zhaohui Wu
    • 1
  • Gang Pan
    • 2
  1. 1.Department of Computer ScienceZhejiang UniversityHangzhouChina, People's Republic
  2. 2., Department of Computer ScienceZhejiang UniversityHangzhouChina, People's Republic

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-36382-5
  • Copyright Information Zhejiang University Press, Hangzhou and Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-36381-8
  • Online ISBN 978-3-642-36382-5
  • Series Print ISSN 1995-6819
  • Series Online ISSN 1995-6827
  • About this book