書(shū)目名稱(chēng) | Crowdsourcing of Sensor Cloud Services |
編輯 | Azadeh‘Ghari Neiat,Athman Bouguettaya |
視頻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 |
圖書(shū)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 |
關(guān)鍵詞 | 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 |