| 书目名称 | Crowdsourcing of Sensor Cloud Services |
| 编辑 | Azadeh‘Ghari Neiat,Athman Bouguettaya |
| 视频video | http://file.papertrans.cn/241/240462/240462.mp4 |
| 概述 | Provides Crowdsourced WiFi Coverage as a Service.Presents Spatio-Temporal Composition of Sensor-Cloud Services.Introduces a novel, heuristic failure-proof service composition algorithm based on the in |
| 图书封面 |  |
| 描述 | .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-t |
| 出版日期 | Book 2018 |
| 关键词 | Sensor Cloud; Spatio-temporal service model; Crowdsourced services; Incentive model; Computing; Spatio-te |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-91536-4 |
| isbn_softcover | 978-3-030-08269-7 |
| isbn_ebook | 978-3-319-91536-4 |
| copyright | Springer International Publishing AG, part of Springer Nature 2018 |
|Archiver|手机版|小黑屋|
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