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Pervasive Computing - 1st Edition - ISBN: 9780128036631, 9780128037027

Pervasive Computing

1st Edition

Next Generation Platforms for Intelligent Data Collection

Editors: Ciprian Dobre Fatos Xhafa
Paperback ISBN: 9780128036631
eBook ISBN: 9780128037027
Imprint: Academic Press
Published Date: 13th April 2016
Page Count: 548
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Table of Contents

  • Dedication
  • About the Editors
  • Foreword
  • Preface
    • Organization of the Book
  • Acknowledgments
  • Part I: Automated Capture of Experiences with Easy Access
    • Chapter 1: On preserving privacy in cloud computing using ToR
      • Abstract
      • 1 Introduction
      • 2 Overview of cloud computing
      • 3 An overview of ToR
      • 4 ToR in cloud computing
      • 5 Conclusion
      • Acronyms
      • Glossary
    • Chapter 2: Self-adaptive overlay networks
      • Abstract
      • Acknowledgments
      • 1 Introduction
      • 2 Background/literature review/context
      • 3 Self-adaptive overlays
      • 4 Hybrid peer-to-peer systems
      • 5 Discussion and conclusions
      • Acronyms
    • Chapter 3: Users in the urban sensing process: Challenges and research opportunities
      • Abstract
      • 1 Introduction
      • 2 Participatory sensor networks
      • 3 Properties of PSN
      • 4 Working with PSN data
      • 5 Challenges and opportunities
      • 6 Conclusion
      • Acronyms
      • Glossary
    • Chapter 4: Integration in the Internet of Things: A semantic middleware approach to seamless integration of heterogeneous technologies
      • Abstract
      • Acknowledgments
      • 1 Introduction
      • 2 Motivating scenario
      • 3 Current approaches to integration in IoT
      • 4 Design of an integration layer for P/S frameworks
      • 5 Example of adapters implementation and system deployment
      • 6 Conclusions and future work
      • Acronyms
      • Glossary
  • Part II: Context-Aware/Sensitive Interactions and Applications
    • Chapter 5: A context-aware system for efficient peer-to-peer content provision
      • Abstract
      • Acknowledgments
      • 1 Introduction
      • 2 Related work and research motivation
      • Acronyms
      • Glossary
    • Chapter 6: Transparent distributed data management in large scale distributed systems
      • Abstract
      • 1 Introduction and overview
      • 2 Mutual exclusion
      • 3 Algorithm for exclusive locks with mobile processes (ELMP)
      • 4 Read write locks for mobile processes (RW-LMP) algorithm
      • 5 Multi-level architecture and data abstraction
      • 6 Experimental results
      • 7 Discussion
      • 8 Conclusion
      • Acronyms
      • Glossary
    • Chapter 7: Converged information-centric spaces based on wireless data hubs
      • Abstract
      • 1 Introduction
      • 2 Connectivity and congestion in dense wireless spaces
      • 3 Group connect and wireless traffic offload
      • 4 Wireless data hub
      • 5 Modeling and performance analysis
      • 6 Summary
      • Acronyms
      • Glossary
    • Chapter 8: Data fusion for orientation sensing in wireless body area sensor networks using smart phones
      • Abstract
      • 1 Introduction
      • 2 WBASN and E-Health systems
      • 3 Orientation sensing
      • 4 Orientation approximation
      • 5 Experimental setup
      • 6 Kalman and complementary filtering
      • 7 Discussion
      • 8 Conclusion and future works
      • Acronyms
      • Glossary
  • Part III: Ubiquitous Services Independent of Devices/Platforms
    • Chapter 9: Reuse of data from smart medical devices for quality control and evidence-based medicine
      • Abstract
      • 1 Introduction
      • 2 State of the art of medical technology
      • 3 Obstacles to the adoption of smart medical devices in the practice
      • 4 Smart medical devices as complex cyber-physical systems
      • 5 Interdisciplinary approach versus mentality mismatch
      • 6 Necessity of postmarket surveillance
      • 7 Primary and secondary use of smart medical devices data
      • 8 Stakeholders and their interests
      • 9 Privacy versus quality of research
      • 10 Data integration platforms
      • 11 Technical challenges
      • 12 Challenges for data analytics
      • 13 Responsibility for published results
      • 14 Background/Literature Review/Context
      • 15 Conclusion
      • Acronyms
      • Glossary
    • Chapter 10: Measuring energy efficiency in data centers
      • Abstract
      • Acknowledgments
      • 1 Introduction
      • 2 Problem statement
      • 3 Criteria and methodology for the metrics selection
      • 4 Power/energy metrics
      • 5 Thermal metrics
      • 6 Productivity metrics
      • 7 Challenges in data center energy efficiency metrics
      • Acronyms
      • Symbols
      • Technical Words
    • Chapter 11: Enhancing energy efficiency in buildings through innovative data analytics technologies
      • Abstract
      • 1 Introduction
      • 2 Building energy modeling approaches
      • 3 Energy data management and mining systems
      • 4 Collecting and storing energy data
      • 5 Knowledge discovery process on building energy data
      • 6 Enhancing energy efficiency through data analytics: applications in energy and buildings
      • 7 Lessons learned
      • 8 Conclusions and emerging trends in data analytics technologies
      • Acronyms
      • Glossary
      • Technical words
  • Part IV: Pervasive Computing and Applications
    • Chapter 12: A failure detector based on processes’ relevance and the confidence degree in the system for self-healing in ubiquitous environments
      • Abstract
      • 1 Introduction
      • 2 Background
      • 3 Motivation scenarios
      • 4 Self-healing module
      • 5 Impact failure detector
      • 6 Performance evaluation
      • 7 Related work
      • 8 Conclusion and future work
      • Acronyms
      • Glossary
    • Chapter 13: Video streaming: Overview and challenges in the internet of things
      • Abstract
      • 1 Introduction
      • 2 Architectures
      • 3 Streaming mechanisms with HTTP
      • 4 Content delivery networks
      • 5 Mobile P2P streaming
      • 6 Encoding
      • 7 Cloud based encoding and transcoding
      • 8 Internet of things
      • 9 Low power personal area networks
      • 10 Conclusions
      • Acronyms
      • Glossary
    • Chapter 14: Extending cloud-based applications with mobile opportunistic networks: Security issues and privacy challenges
      • Abstract
      • Acknowledgments
      • 1 Introduction
      • 2 Networking and functional challenges
      • 3 Data storage and resource management challenges
      • 4 Future research questions
      • 5 Conclusion
      • Acronyms
      • Glossary
  • Glossary
  • Acronyms
  • Index


Pervasive Computing: Next Generation Platforms for Intelligent Data Collection presents current advances and state-of-the-art work on methods, techniques, and algorithms designed to support pervasive collection of data under ubiquitous networks of devices able to intelligently collaborate towards common goals.

Using numerous illustrative examples and following both theoretical and practical results the authors discuss: a coherent and realistic image of today’s architectures, techniques, protocols, components, orchestration, choreography, and developments related to pervasive computing components for intelligently collecting data, resource, and data management issues; the importance of data security and privacy in the era of big data; the benefits of pervasive computing and the development process for scientific and commercial applications and platforms to support them in this field.

Pervasive computing has developed technology that allows sensing, computing, and wireless communication to be embedded in everyday objects, from cell phones to running shoes, enabling a range of context-aware applications. Pervasive computing is supported by technology able to acquire and make use of the ubiquitous data sensed or produced by many sensors blended into our environment, designed to make available a wide range of new context-aware applications and systems. While such applications and systems are useful, the time has come to develop the next generation of pervasive computing systems. Future systems will be data oriented and need to support quality data, in terms of accuracy, latency and availability.

Pervasive Computing is intended as a platform for the dissemination of research efforts and presentation of advances in the pervasive computing area, and constitutes a flagship driver towards presenting and supporting advanced research in this area.

Indexing: The books of this series are submitted to EI-Compendex and SCOPUS

Key Features

  • Offers a coherent and realistic image of today’s architectures, techniques, protocols, components, orchestration, choreography, and development related to pervasive computing
  • Explains the state-of-the-art technological solutions necessary for the development of next-generation pervasive data systems, including: components for intelligently collecting data, resource and data management issues, fault tolerance, data security, monitoring and controlling big data, and applications for pervasive context-aware processing
  • Presents the benefits of pervasive computing, and the development process of scientific and commercial applications and platforms to support them in this field
  • Provides numerous illustrative examples and follows both theoretical and practical results to serve as a platform for the dissemination of research advances in the pervasive computing area


Researchers and professionals in computer science, computer engineering, applied informatics and intelligent processing systems


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© Academic Press 2016
13th April 2016
Academic Press
Paperback ISBN:
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Ratings and Reviews

About the Editors

Ciprian Dobre

Ciprian Dobre

Ciprian Dobre received his PhD in Computer Science in 2008 from the Computer Science Department at the University Politehnica of Bucharest (UPB), Romania. Currently, he holds a permanent position of Associate Professor at UPB, where he teaches classes on Parallel and Distributed Algorithms, Cloud Computing, and others. Ciprian Dobre has early scientific and scholarly contributions in the field of large scale distributed systems concerning mobile applications and smart technologies to reduce urban congestion and air pollution (coordinator of projects MobiWay and TranSys), and context-aware applications (coordinator of CAPIM, projects SPRINT, ONSIDE, HYCCUPS and others), monitoring (project MonALISA), high-speed networking (projects VINCI and FDT), evaluation using modeling and simulation (developer of MONARC 2, coordinator of projects VNSim and Sim2Car), Such contributions led to results beyond the state of the art. Ciprian Dobre was awarded a PhD scholarship from California Institute of Technology (Caltech, USA), and another one from Oracle. His results received one IBM Faculty Award, two CENIC Awards, and three Best Paper Awards. Dr. Dobre has widely published in peer reviewed international journals, conferences/workshops, book chapters and edited books and proceedings in the field: over 100 books, chapters in edited books, articles in major international peer-reviewed journal and in well-established international conferences and workshops. Currently he is local project coordinator for national projects ‘CAPIM - Context-Aware Platform using Integrated Mobile Services’, and ‘MobiWay – Mobility beyond Individualism’. Ciprian Dobre’s research interests involve research subjects related to mobile wireless networks and computing applications, pervasive services, context-awareness, and people-centric or participatory sensing. More information can be found at

Affiliations and Expertise

University Politehnica of Bucharest (UPB), Romania

Fatos Xhafa

Fatos Xhafa received his PhD in Computer Science in 1998 from the Department of Computer Science of the Technical University of Catalonia (UPC), Barcelona, Spain. Currently, he holds a permanent position of Professor Titular at UPC, BarcelonaTech. He was a Visiting Professor at Birkbeck College, University of London (UK) during academic year 2009-2010 and Research Associate at Drexel University, Philadelphia (USA) during academic term 2004/2005. Dr. Xhafa has widely published in peer reviewed international journals, conferences/workshops, book chapters and edited books and proceedings in the field. He has been awarded teaching and research merits by Spanish Ministry of Science and Education. He is Editor-in-Chief of International Journal of Grid and Utility Computing and International Journal of Space-based and Situated Computing from Inderscience. He is actively participating in the organization of several international conferences and workshops. His research interests include parallel and distributed algorithms, optimization, networking, P2P and Cloud computing, and security and trustworthy computing.

Affiliations and Expertise

Professor, Technical University of Catalonia (UPC), Barcelona, Spain