Isbn: 9783319915357 - crowdsourcing of sensor cloud services [lingua inglese] (16 risultati)

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Hardback or Cased Book. Condizione: New. Crowdsourcing of Sensor Cloud Services. Book.

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Hardcover. Condizione: Brand New. 138 pages. 9.25x6.10x0.60 inches. In Stock.

Buch. Condizione: Neu. Druck auf Anfrage 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.…

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Condizione: new. Questo è un articolo print on demand.

Buch. Condizione: 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. 116 pp. Englisch.…

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Gebunden. Condizione: 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&nbspalgorithm based on the incremental re-planning&nbspalgorithm .…