Crowdsourcing of Sensor Cloud Services

ISBN-13: 9783030082697 / Angielski / Miękka / 2019 / 116 str.

Azadeh Ghari Neiat; Athman Bouguettaya

Recenzje

"The book is suitable for scientists and programmers, both for research and for developing practical applications. ... the proposed approaches, models, and algorithms could be useful for managing similar space-intensive and/or time-intensive crowdsourced cloud services." (Snezhana Gocheva-Ilieva, Computing Reviews, February, 2019)

Spis treści

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