Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/688
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dc.contributor.authorGhari Neiat, Azadeh. ;en_US
dc.contributor.authorBouguettaya, Athman. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:20:42Z-
dc.date.available2020-05-17T08:20:42Z-
dc.date.issued2018en_US
dc.identifier.isbn9783319915364 ;en_US
dc.identifier.isbn9783319915357 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/688-
dc.descriptionQA76.76.A65 ;en_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9783319915357. ;en_US
dc.description005.7 ; 23 ;en_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractThis 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 eeready to goee 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. . ;en_US
dc.description.statementofresponsibilityby Azadeh Ghari Neiat, Athman Bouguettaya.en_US
dc.description.tableofcontents1 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. ;en_US
dc.format.extentXIX, 116 p. 43 illus., 36 illus. in color. ; online resource. ;en_US
dc.publisherSpringer International Publishing :en_US
dc.publisherImprint: Springer,en_US
dc.relation.haspart9783319915357.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectComputer Communication Systemsen_US
dc.subjectManagement Information Systemsen_US
dc.subjectComputer Scienceen_US
dc.subjectInformation Systems Applicationsen_US
dc.subjectManagement of Computing and Information Systems. ;en_US
dc.subjectComputer Communication Networksen_US
dc.titleCrowdsourcing of Sensor Cloud Servicesen_US
dc.typeBooken_US
dc.publisher.placeCham :en_US
Appears in Collections:مدیریت فناوری اطلاعات

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9783319915357.pdf3.21 MBAdobe PDFThumbnail
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Full metadata record
DC FieldValueLanguage
dc.contributor.authorGhari Neiat, Azadeh. ;en_US
dc.contributor.authorBouguettaya, Athman. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:20:42Z-
dc.date.available2020-05-17T08:20:42Z-
dc.date.issued2018en_US
dc.identifier.isbn9783319915364 ;en_US
dc.identifier.isbn9783319915357 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/688-
dc.descriptionQA76.76.A65 ;en_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9783319915357. ;en_US
dc.description005.7 ; 23 ;en_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractThis 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 eeready to goee 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. . ;en_US
dc.description.statementofresponsibilityby Azadeh Ghari Neiat, Athman Bouguettaya.en_US
dc.description.tableofcontents1 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. ;en_US
dc.format.extentXIX, 116 p. 43 illus., 36 illus. in color. ; online resource. ;en_US
dc.publisherSpringer International Publishing :en_US
dc.publisherImprint: Springer,en_US
dc.relation.haspart9783319915357.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectComputer Communication Systemsen_US
dc.subjectManagement Information Systemsen_US
dc.subjectComputer Scienceen_US
dc.subjectInformation Systems Applicationsen_US
dc.subjectManagement of Computing and Information Systems. ;en_US
dc.subjectComputer Communication Networksen_US
dc.titleCrowdsourcing of Sensor Cloud Servicesen_US
dc.typeBooken_US
dc.publisher.placeCham :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783319915357.pdf3.21 MBAdobe PDFThumbnail
Preview File
Full metadata record
DC FieldValueLanguage
dc.contributor.authorGhari Neiat, Azadeh. ;en_US
dc.contributor.authorBouguettaya, Athman. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:20:42Z-
dc.date.available2020-05-17T08:20:42Z-
dc.date.issued2018en_US
dc.identifier.isbn9783319915364 ;en_US
dc.identifier.isbn9783319915357 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/688-
dc.descriptionQA76.76.A65 ;en_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9783319915357. ;en_US
dc.description005.7 ; 23 ;en_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractThis 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 eeready to goee 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. . ;en_US
dc.description.statementofresponsibilityby Azadeh Ghari Neiat, Athman Bouguettaya.en_US
dc.description.tableofcontents1 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. ;en_US
dc.format.extentXIX, 116 p. 43 illus., 36 illus. in color. ; online resource. ;en_US
dc.publisherSpringer International Publishing :en_US
dc.publisherImprint: Springer,en_US
dc.relation.haspart9783319915357.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectComputer Communication Systemsen_US
dc.subjectManagement Information Systemsen_US
dc.subjectComputer Scienceen_US
dc.subjectInformation Systems Applicationsen_US
dc.subjectManagement of Computing and Information Systems. ;en_US
dc.subjectComputer Communication Networksen_US
dc.titleCrowdsourcing of Sensor Cloud Servicesen_US
dc.typeBooken_US
dc.publisher.placeCham :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783319915357.pdf3.21 MBAdobe PDFThumbnail
Preview File