Azadeh Ghari Neiat; Athman Bouguettaya Crowdsourcing of Sensor Cloud Services 9783030082697

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Автор: Azadeh Ghari Neiat; Athman Bouguettaya
Название: Crowdsourcing of Sensor Cloud Services
ISBN: 9783030082697
Издательство: Springer
Классификация:

Финансы

Сетевое оборудование

Информационный поиск

Информационная архитектура

ISBN-10: 3030082695
Обложка/Формат: Soft cover
Страницы: 116
Вес: 0.22 кг.
Дата издания: 2018
Язык: English
Издание: Softcover reprint of
Иллюстрации: 36 illustrations, color; 7 illustrations, black and white; xix, 116 p. 43 illus., 36 illus. in color.
Размер: 234 x 156 x 8
Читательская аудитория: General (us: trade)
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: 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.
Дополнительное описание: 1 Introduction.- 2 Background.- 3 Spatio-Temporal Linear Composition of Sensor-Cloud Services.- 4 Crowdsourced Coverage as a Service: Two-Level Composition of SensorCloud Services.- 5 Incentive-Based Crowdsourcing of Hotspot Services 84.- 6 Conclusion.

Crowdsourcing of Sensor Cloud Services, Azadeh Ghari Neiat; Athman Bouguettaya