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ghari neiat azadeh; bouguettaya athman - crowdsourcing of sensor cloud services

Crowdsourcing of Sensor Cloud Services

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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer

Pubblicazione: 07/2018
Edizione: 1st ed. 2018





Trama

This book develops a crowdsourced sensor-cloud service composition framework taking into account spatio-temporal aspects. This book also unfolds new horizons to service-oriented computing towards the direction of crowdsourced sensor data based applications, in the broader context of Internet of Things (IoT). It is a massive challenge for the IoT research field how to effectively and efficiently capture, manage and deliver sensed data as user-desired services. The outcome of this research will contribute to solving this very important question, by designing a novel service framework and a set of unique service selection and composition frameworks.

Delivering a novel service framework to manage crowdsourced sensor data provides high-level abstraction (i.e., sensor-cloud service) to model crowdsourced sensor data from functional and non-functional perspectives, seamlessly turning the raw data into “ready to go” services. A creative indexing model is developed to capture and manage the spatio-temporal dynamism of crowdsourced service providers.

Delivering novel frameworks to compose crowdsourced sensor-cloud services is vital. These frameworks focuses on spatio-temporal composition of crowdsourced sensor-cloud services, which is a new territory for existing service oriented computing research. A creative failure-proof model is also designed to prevent composition failure caused by fluctuating QoS.

Delivering an incentive model to drive the coverage of crowdsourced service providers is also vital. A new spatio-temporal incentive model targets changing coverage of the crowdsourced providers to achieve demanded coverage of crowdsourced sensor-cloud services within a region.

The outcome of this research is expected to potentially create a sensor services crowdsourcing market and new commercial opportunities focusing on crowdsourced data based applications. The crowdsourced community based approach adds significant value to journey planning and map services thus creating a competitive edge for a technologically-minded companies incentivizing new start-ups, thus enabling higher market innovation.

This book primarily targets researchers and practitioners, who conduct research work in service oriented computing, Internet of Things (IoT), smart city and spatio-temporal travel planning, as well as advanced-level students studying this field. Small and Medium Entrepreneurs, who invest in crowdsourced IoT services and journey planning infrastructures, will also want to purchase this book.  





Sommario

1              Introduction

1.1          Motivation

1.2          Problem Statement

1.3          Research Objectives

1.4          Contributions 

1.5          Organization

2              Background

2.1          Sensor-Cloud Architecture

2.2          Service Composition

2.3          Spatio-Temporal Crowdsourced Services

2.4          Incentive Models

2.5          Chapter Summary

3              Spatio-Temporal Linear Composition of Sensor-Cloud Services

3.1          Introduction

3.2          Background

3.3          Spatio-Temporal Model for Sensor-Cloud Services

3.4          Spatio-Temporal Selection of Sensor-Cloud Services

3.5          Spatio-Temporal Quality Model for Line Segment Services

3.6          Spatio-Temporal Linear Composition of Sensor-Cloud Services

3.7          Failure-Proof Spatio-Temporal Composition of Sensor Cloud Services

3.8          Performance Study

3.9          Chapter Summary

4              Crowdsourced Coverage as a Service: Two-Level Composition of SensorCloud Services

4.1          Introduction

4.2          Coverage as a Service (CaaS)

4.3          Double-Layered Crowdsourced Sensor-Cloud Service Composition

4.4          Experimental Results

4.5          Chapter Summary

5              Incentive-Based Crowdsourcing of Hotspot Services 84

5.1          Introduction

5.2          Background

5.3          System Model and Problem Formulation

5.4          Spatio-Temporal Incentive-Based Approach

5.5          Experiment Results

5.6          Chapter Summary

6              Conclusion

6.1          Research Objectives Revisited

6.2          Future Research 











Altre Informazioni

ISBN:

9783319915357

Condizione: Nuovo
Dimensioni: 235 x 155 mm Ø 2079 gr
Formato: Copertina rigida
Illustration Notes:XIX, 116 p. 43 illus., 36 illus. in color.
Pagine Arabe: 116
Pagine Romane: xix


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