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  • 1
    Online Resource
    Online Resource
    The Building Blocks of IoT Analytics : Internet-Of-Things Analytics (2016)
    Aalborg : River Publishers,
    Details
    UID:
    gbv_1870233042
    Format: 1 online resource (294 pages)
    ISBN: 8793519044 , 9788793519046 , 9781003337423 , 1003337422 , 9781000796810 , 1000796817 , 9781000793659 , 1000793656
    Series Statement: River Publishers Series in Signal, Image and Speech Processing Ser
    Content: Front Cover -- Half Title Page -- RIVER PUBLISHERS SERIES IN SIGNAL, IMAGE AND SPEECH PROCESSING -- Full Title Page -- Building Blocks for IoT AnalyticsI nternet-of-Things Analytics -- Copyright Page -- Contents -- Preface -- List of Contributors -- List of Figures -- List of Tables -- List of Abbreviations -- PART I IoT Analytics Enablers -- Chapter 1 -- Introducing IoT Analytics -- 1.1 Introduction -- 1.2 IoT Data and BigData -- 1.3 Challenges of IoT Analytics Applications -- 1.4 IoT Analytics Lifecycle and Techniques -- 1.5 Conclusions -- References -- Chapter 2 -- IoT, Cloud and BigData Integration for IoT Analytics -- 2.1 Introduction -- 2.2 Cloud-based IoT Platform -- 2.2.1 IaaS, PaaS and SaaS Paradigms -- 2.2.2 Requirements of IoT BigData Analytics Platform -- 2.2.3 Functional Architecture -- 2.3 Data Analytics for the IoT -- 2.3.1 Characteristics of IoT Generated Data -- 2.3.2 Data Analytic Techniques and Technologies -- 2.4 Data Collection Using Low-power, Long-range Radios -- 2.4.1 Architecture and Deployment -- 2.4.2 Low-cost LoRa Implementation -- 2.5 WAZIUP Software Platform -- 2.5.1 Main Challenges -- 2.5.2 PaaS for IoT -- 2.5.3 Architecture -- 2.5.4 Deployment -- 2.6 iKaaS Software Platform -- 2.6.1 Service Orchestration and Resources Provisioning -- 2.6.2 Advanced Data Processing and Analytics -- 2.6.3 Service Composition and Decomposition -- 2.6.4 Migration and Portability in Multi-cloud Environment -- 2.6.5 Cost Function of Service Migration -- 2.6.6 Dynamic Selection of Devices in Multi-cloud Environment -- Acknowledgement -- References -- Chapter 3 -- Searching the Internet of Things -- 3.1 Introduction -- 3.2 A Search Architecture for Social and Physical Sensors -- 3.2.1 Search engine for MultimediA enviRonment generated contenT (SMART) -- 3.2.2 Challenges in Building an IoT Search Engine -- 3.3 Local Event Retrieval.
    Additional Edition: ISBN 9788793519039
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9788793519039
    Language: English
    Keywords: Conference papers and proceedings
    DOI: 10.1201/9781003337423
    URL: kostenfrei
    URL: EBSCOhost
    URL: ProQuest Ebook Central
    URL: Taylor & Francis
    URL: Taylor & Francis eBooks
    URL: Free eBook from the Internet Archive
    URL: Additional information and access via Open Library
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Open Access Request
    Stabi Berlin
    HPol Brandenburg
    MPI Bildungsforschung
  • 2
    Online Resource
    Online Resource
    Building blocks of lot analytics internet-of-things analytics / (2017)
    Alsbjergvej, Gistrup, Denmark ; : River Publishers,
    Details
    UID:
    almahu_9949602124802882
    Format: 1 online resource (294 pages) : , color illustrations, tables.
    ISBN: 9788793519046 (e-book)
    Series Statement: River Publishers Series in Signal, Image and Speech Processing
    Additional Edition: Print version: Building blocks of lot analytics internet-of-things analytics. Alsbjergvej, Gistrup, Denmark ; Delft, The Netherlands : River Publishers, c2017 ISBN 9788793519039
    Language: English
    Keywords: Electronic books.
    URL: Click to View
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    HU Berlin
    FU Berlin
    Charité
  • 3
    Online Resource
    Online Resource
    Building Blocks for IoT Analytics Internet-of-Things Analytics (2017)
    [Erscheinungsort nicht ermittelbar] : Taylor & Francis
    Details
    UID:
    gbv_1832231259
    Format: 1 Online-Ressource (292 p.)
    ISBN: 9781003337423 , 9781000793659 , 9788793519039
    Content: Internet-of-Things (IoT) Analytics are an integral element of most IoT applications, as it provides the means to extract knowledge, drive actuation services and optimize decision making. IoT analytics will be a major contributor to IoT business value in the coming years, as it will enable organizations to process and fully leverage large amounts of IoT data, which are nowadays largely underutilized. The Building Blocks of IoT Analytics is devoted to the presentation the main technology building blocks that comprise advanced IoT analytics systems. It introduces IoT analytics as a special case of BigData analytics and accordingly presents leading edge technologies that can be deployed in order to successfully confront the main challenges of IoT analytics applications. Special emphasis is paid in the presentation of technologies for IoT streaming and semantic interoperability across diverse IoT streams. Furthermore, the role of cloud computing and BigData technologies in IoT analytics are presented, along with practical tools for implementing, deploying and operating non-trivial IoT applications. Along with the main building blocks of IoT analytics systems and applications, the book presents a series of practical applications, which illustrate the use of these technologies in the scope of pragmatic applications. Technical topics discussed in the book include: Cloud Computing and BigData for IoT analyticsSearching the Internet of ThingsDevelopment Tools for IoT Analytics ApplicationsIoT Analytics-as-a-ServiceSemantic Modelling and Reasoning for IoT AnalyticsIoT analytics for Smart BuildingsIoT analytics for Smart CitiesOperationalization of IoT analyticsEthical aspects of IoT analyticsThis book contains both research oriented and applied articles on IoT analytics, including several articles reflecting work undertaken in the scope of recent European Commission funded projects in the scope of the FP7 and H2020 programmes. These articles present results of these projects on IoT analytics platforms and applications. Even though several articles have been contributed by different authors, they are structured in a well thought order that facilitates the reader either to follow the evolution of the book or to focus on specific topics depending on his/her background and interest in IoT and IoT analytics technologies. The compilation of these articles in this edited volume has been largely motivated by the close collaboration of the co-authors in the scope of working groups and IoT events organized by the Internet-of-Things Research Cluster (IERC), which is currently a part of EU's Alliance for Internet of Things Innovation (AIOTI)
    Note: English
    Language: Undetermined
    URL: kostenfrei
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    Stabi Berlin
    UB Potsdam
  • 4
    Online Resource
    Online Resource
    Building Blocks for IoT Analytics Internet-of-Things Analytics (2016)
    Aalborg : River Publishers
    Details
    UID:
    gbv_1653466693
    Format: 1 Online-Ressource (294 pages)
    ISBN: 9788793519046
    Series Statement: River Publishers Series in Signal, Image and Speech Processing
    Content: Front Cover -- Half Title Page -- RIVER PUBLISHERS SERIES IN SIGNAL, IMAGE AND SPEECH PROCESSING -- Full Title Page - Building Blocks for IoT AnalyticsI nternet-of-Things Analytics -- Copyright Page -- Contents -- Preface -- List of Contributors -- List of Figures -- List of Tables -- List of Abbreviations -- PART I IoT Analytics Enablers -- Chapter 1 - Introducing IoT Analytics -- 1.1 Introduction -- 1.2 IoT Data and BigData -- 1.3 Challenges of IoT Analytics Applications -- 1.4 IoT Analytics Lifecycle and Techniques -- 1.5 Conclusions -- References -- Chapter 2 - IoT, Cloud and BigData Integration for IoT Analytics -- 2.1 Introduction -- 2.2 Cloud-based IoT Platform -- 2.2.1 IaaS, PaaS and SaaS Paradigms -- 2.2.2 Requirements of IoT BigData Analytics Platform -- 2.2.3 Functional Architecture -- 2.3 Data Analytics for the IoT -- 2.3.1 Characteristics of IoT Generated Data -- 2.3.2 Data Analytic Techniques and Technologies -- 2.4 Data Collection Using Low-power, Long-range Radios -- 2.4.1 Architecture and Deployment -- 2.4.2 Low-cost LoRa Implementation -- 2.5 WAZIUP Software Platform -- 2.5.1 Main Challenges -- 2.5.2 PaaS for IoT -- 2.5.3 Architecture -- 2.5.4 Deployment -- 2.6 iKaaS Software Platform -- 2.6.1 Service Orchestration and Resources Provisioning -- 2.6.2 Advanced Data Processing and Analytics -- 2.6.3 Service Composition and Decomposition -- 2.6.4 Migration and Portability in Multi-cloud Environment -- 2.6.5 Cost Function of Service Migration -- 2.6.6 Dynamic Selection of Devices in Multi-cloud Environment -- Acknowledgement -- References -- Chapter 3 - Searching the Internet of Things -- 3.1 Introduction -- 3.2 A Search Architecture for Social and Physical Sensors -- 3.2.1 Search engine for MultimediA enviRonment generated contenT (SMART) -- 3.2.2 Challenges in Building an IoT Search Engine -- 3.3 Local Event Retrieval.
    Additional Edition: ISBN 9788793519039
    Additional Edition: Erscheint auch als Druck-Ausgabe Soldatos, John Building Blocks for IoT Analytics Internet-of-Things Analytics Aalborg : River Publishers,c2016 ISBN 9788793519039
    Language: English
    URL: Volltext  (lizenzpflichtig)
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Online Access
    UB Potsdam
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