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04896nam a2200517 4500 |
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978-3-319-91536-4 |
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20191024072140.0 |
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|a 9783319915364
|9 978-3-319-91536-4
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|a 10.1007/978-3-319-91536-4
|2 doi
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|a QA76.76.A65
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|a COM032000
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|a 005.7
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|a Ghari Neiat, Azadeh.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Crowdsourcing of Sensor Cloud Services
|h [electronic resource] /
|c by Azadeh Ghari Neiat, Athman Bouguettaya.
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|a 1st ed. 2018.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2018.
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|a XIX, 116 p. 43 illus., 36 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
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|a text file
|b PDF
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|a 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.
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|a 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. .
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|a Application software.
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|a Management information systems.
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|a Computer science.
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|a Computer communication systems.
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|a Information Systems Applications (incl. Internet).
|0 http://scigraph.springernature.com/things/product-market-codes/I18040
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|a Management of Computing and Information Systems.
|0 http://scigraph.springernature.com/things/product-market-codes/I24067
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|a Computer Communication Networks.
|0 http://scigraph.springernature.com/things/product-market-codes/I13022
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|a Bouguettaya, Athman.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783319915357
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|i Printed edition:
|z 9783319915371
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|i Printed edition:
|z 9783030082697
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|u https://doi.org/10.1007/978-3-319-91536-4
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-SCS
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950 |
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|a Computer Science (Springer-11645)
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