Articles liés à Crowdsourcing of Sensor Cloud Services
Synopsis
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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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Crowdsourcing of Sensor Cloud Services (eng)
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Crowdsourcing of Sensor Cloud Services
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Springer, 2019
ISBN 10 : 3030082695
ISBN 13 : 9783030082697
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Crowdsourcing of Sensor Cloud Services
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Springer International Publishing Jan 2019, 2019
ISBN 10 : 3030082695
ISBN 13 : 9783030082697
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book develops a crowdsourced sensor-cloud service composition frameworktaking into account spatio-temporal aspects. This book also unfolds newhorizons to service-oriented computing towards the direction ofcrowdsourced sensor data based applications, in the broader context ofInternet of Things (IoT). It is a massive challenge for the IoT research fieldhow to effectively and efficiently capture, manage and deliver sensed dataas user-desired services. The outcome of this research will contribute tosolving this very important question, by designing a novel serviceframework and a set of unique service selection and compositionframeworks.Delivering a novel service framework to manage crowdsourced sensordata provides high-level abstraction (i.e.,sensor-cloud service) to model crowdsourced sensor data from functionaland non-functional perspectives, seamlessly turning the raw data into'ready to go' services. A creative indexing model is developed to captureand manage the spatio-temporal dynamism of crowdsourced serviceproviders.Delivering novel frameworks to compose crowdsourced sensor-cloudservices is vital. These frameworks focuses on spatio-temporal composition ofcrowdsourced sensor-cloud services, which is a new territory for existingservice oriented computing research. A creative failure-proof model is alsodesigned to prevent composition failure caused by fluctuating QoS.Delivering an incentive model to drive the coverage of crowdsourcedservice providers is also vital. A new spatio-temporal incentive model targets changingcoverage of the crowdsourced providers to achieve demanded coverage ofcrowdsourced sensor-cloud services within a region.The outcome of this research is expected to potentially create a sensorservices crowdsourcing market and new commercial opportunities focusingon crowdsourced data based applications. The crowdsourced community basedapproach adds significant value to journey planning and mapservices thus creating a competitive edge for a technologically-mindedcompanies incentivizing new start-ups, thus enabling higher marketinnovation.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. 136 pp. Englisch. N° de réf. du vendeur 9783030082697
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Crowdsourcing of Sensor Cloud Services
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Crowdsourcing of Sensor Cloud Services
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Crowdsourcing of Sensor Cloud Services
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Crowdsourcing of Sensor Cloud Services
Edité par
Springer International Publishing, 2019
ISBN 10 : 3030082695
ISBN 13 : 9783030082697
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides Crowdsourced WiFi Coverage as a ServicePresents Spatio-Temporal Composition of Sensor-Cloud ServicesIntroduces a novel, heuristic failure-proof service composition algorithm based on the incremental re-planning algorithm . N° de réf. du vendeur 448671338
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Crowdsourcing of Sensor Cloud Services
impression à la demandeVendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book develops a crowdsourced sensor-cloud service composition frameworktaking into account spatio-temporal aspects. This book also unfolds newhorizons to service-oriented computing towards the direction ofcrowdsourced sensor data based applications, in the broader context ofInternet of Things (IoT). It is a massive challenge for the IoT research fieldhow to effectively and efficiently capture, manage and deliver sensed dataas user-desired services. The outcome of this research will contribute tosolving this very important question, by designing a novel serviceframework and a set of unique service selection and compositionframeworks.Delivering a novel service framework to manage crowdsourced sensordata provides high-level abstraction (i.e.,sensor-cloud service) to model crowdsourced sensor data from functionaland non-functional perspectives, seamlessly turning the raw data into'ready to go' services. A creative indexing model is developed to captureand manage the spatio-temporal dynamism of crowdsourced serviceproviders.Delivering novel frameworks to compose crowdsourced sensor-cloudservices is vital. These frameworks focuses on spatio-temporal composition ofcrowdsourced sensor-cloud services, which is a new territory for existingservice oriented computing research. A creative failure-proof model is alsodesigned to prevent composition failure caused by fluctuating QoS.Delivering an incentive model to drive the coverage of crowdsourcedservice providers is also vital. A new spatio-temporal incentive model targets changingcoverage of the crowdsourced providers to achieve demanded coverage ofcrowdsourced sensor-cloud services within a region.The outcome of this research is expected to potentially create a sensorservices crowdsourcing market and new commercial opportunities focusingon crowdsourced data based applications. The crowdsourced community basedapproach adds significant value to journey planning and mapservices thus creating a competitive edge for a technologically-mindedcompanies incentivizing new start-ups, thus enabling higher marketinnovation.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. N° de réf. du vendeur 9783030082697
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