Pervasive Computing

Next Generation Platforms for Intelligent Data Collection

1st Edition - April 13, 2016
Imprint: Academic Press
Editors: Ciprian Dobre, Fatos Xhafa
Language: English
Paperback ISBN:
9 7 8 - 0 - 1 2 - 8 0 3 6 6 3 - 1
eBook ISBN:
9 7 8 - 0 - 1 2 - 8 0 3 7 0 2 - 7

Pervasive Computing: Next Generation Platforms for Intelligent Data Collection presents current advances and state-of-the-art work on methods, techniques, and algorithms designed… Read more

Purchase options

BLOOM INTO SPRING SAVINGS

Save up to 25% on books and eBooks!

Shop now

Institutional subscription on ScienceDirect

Request a sales quote

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

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

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 http://cipsm.hpc.pub.ro.

Affiliations and expertise

University Politehnica of Bucharest (UPB), Romania

Fatos Xhafa

Fatos Xhafa, PhD in Computer Science, is Full Professor at the Technical University of Catalonia (UPC), Barcelona, Spain. He has held various tenured and visiting professorship positions. He was a Visiting Professor at the University of Surrey, UK (2019/2020), Visiting Professor at the Birkbeck College, University of London, UK (2009/2010) and a Research Associate at Drexel University, Philadelphia, USA (2004/2005). He was a Distinguished Guest Professor at Hubei University of Technology, China, for the duration of three years (2016-2019). Prof. Xhafa has widely published in peer reviewed international journals, conferences/workshops, book chapters, edited books and proceedings in the field (H-index 55). He has been awarded teaching and research merits by the Spanish Ministry of Science and Education, by IEEE conferences and best paper awards. Prof. Xhafa has an extensive editorial service. He is founder and Editor-In-Chief of Internet of Things - Journal - Elsevier (Scopus and Clarivate WoS Science Citation Index) and of International Journal of Grid and Utility Computing, (Emerging Sources Citation Index), and AE/EB Member of several indexed Int'l Journals. Prof. Xhafa is a member of IEEE Communications Society, IEEE Systems, Man & Cybernetics Society and Founder Member of Emerging Technical Subcommittee of Internet of Things. His research interests include IoT and Cloud-to-thing continuum computing, massive data processing and collective intelligence, optimization, security and trustworthy computing and machine learning, among others. He can be reached at [email protected]. Please visit also http://www.cs.upc.edu/~fatos/ and at http://dblp.uni-trier.de/pers/hd/x/Xhafa:Fatos

Affiliations and expertise

Full Professor of Computer Science, Universitat Politècnica de Catalunya (UPC), Barcelona, Spain

Life Sciences

Physical Sciences & Engineering

Social Sciences & Humanities

Health