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{ "item_title" : "Crowdsourcing of Sensor Cloud Services", "item_author" : [" Azadeh Ghari Neiat", "Athman Bouguettaya "], "item_description" : "To the best of our knowledge, this work is among pioneer effort in developing a crowdsourced sensor-cloud service composition framework taking into account spatio-temporal aspects. This research 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.- Provides a novel service framework to manage crowdsourced sensor data. This service framework aims to provide 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.- Delivers novel frameworks to compose crowdsourced sensor-cloud services. These frameworks will focus 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.- Presents an incentive model to drive the coverage of crowdsourced service providers. A new spati-temporal incentive model targets changing coverage of the crowdsourced providers to achieve demanded coverage of crowdsourced sensor-cloud services within a region.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/03/008/269/3030082695_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Crowdsourcing of Sensor Cloud Services|Azadeh Ghari Neiat

Crowdsourcing of Sensor Cloud Services

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Overview

To the best of our knowledge, this work is among pioneer effort in developing a crowdsourced sensor-cloud service composition framework taking into account spatio-temporal aspects. This research 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.

- Provides a novel service framework to manage crowdsourced sensor data. This service framework aims to provide 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.

- Delivers novel frameworks to compose crowdsourced sensor-cloud services. These frameworks will focus 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.


- Presents an incentive model to drive the coverage of crowdsourced service providers. A new spati-temporal incentive model targets changing coverage of the crowdsourced providers to achieve demanded coverage of crowdsourced sensor-cloud services within a region.

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Details

  • ISBN-13: 9783030082697
  • ISBN-10: 3030082695
  • Publisher: Springer
  • Publish Date: January 2019
  • Dimensions: 9.21 x 6.14 x 0.3 inches
  • Shipping Weight: 0.45 pounds
  • Page Count: 116

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