Please use this identifier to cite or link to this item:
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Title: | Crowdsourcing of Sensor Cloud Services |
Authors: | Ghari Neiat, Azadeh. ;;Bouguettaya, Athman. ; |
subject: | Computer Science;Computer Communication Systems;Management Information Systems;Computer Science;Information Systems Applications;Management of Computing and Information Systems. ;;Computer Communication Networks |
Year: | 2018 |
place: | Cham : |
Publisher: | Springer International Publishing : Imprint: Springer, |
Abstract: | 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 eeready to goee 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. . ; |
Description: | QA76.76.A65 ; Printed edition: ; 9783319915357. ; 005.7 ; 23 ; SpringerLink (Online service) ; |
URI: | http://localhost/handle/Hannan/688 |
ISBN: | 9783319915364 ; 9783319915357 (print) ; |
More Information: | XIX, 116 p. 43 illus., 36 illus. in color. ; online resource. ; |
Appears in Collections: | مدیریت فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9783319915357.pdf | 3.21 MB | Adobe PDF | Preview File |
Title: | Crowdsourcing of Sensor Cloud Services |
Authors: | Ghari Neiat, Azadeh. ;;Bouguettaya, Athman. ; |
subject: | Computer Science;Computer Communication Systems;Management Information Systems;Computer Science;Information Systems Applications;Management of Computing and Information Systems. ;;Computer Communication Networks |
Year: | 2018 |
place: | Cham : |
Publisher: | Springer International Publishing : Imprint: Springer, |
Abstract: | 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 eeready to goee 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. . ; |
Description: | QA76.76.A65 ; Printed edition: ; 9783319915357. ; 005.7 ; 23 ; SpringerLink (Online service) ; |
URI: | http://localhost/handle/Hannan/688 |
ISBN: | 9783319915364 ; 9783319915357 (print) ; |
More Information: | XIX, 116 p. 43 illus., 36 illus. in color. ; online resource. ; |
Appears in Collections: | مدیریت فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9783319915357.pdf | 3.21 MB | Adobe PDF | Preview File |
Title: | Crowdsourcing of Sensor Cloud Services |
Authors: | Ghari Neiat, Azadeh. ;;Bouguettaya, Athman. ; |
subject: | Computer Science;Computer Communication Systems;Management Information Systems;Computer Science;Information Systems Applications;Management of Computing and Information Systems. ;;Computer Communication Networks |
Year: | 2018 |
place: | Cham : |
Publisher: | Springer International Publishing : Imprint: Springer, |
Abstract: | 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 eeready to goee 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. . ; |
Description: | QA76.76.A65 ; Printed edition: ; 9783319915357. ; 005.7 ; 23 ; SpringerLink (Online service) ; |
URI: | http://localhost/handle/Hannan/688 |
ISBN: | 9783319915364 ; 9783319915357 (print) ; |
More Information: | XIX, 116 p. 43 illus., 36 illus. in color. ; online resource. ; |
Appears in Collections: | مدیریت فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9783319915357.pdf | 3.21 MB | Adobe PDF | Preview File |