{"product_id":"crowdsourcing-of-sensor-cloud-services-von-azadeh-ghari-neiat-athman-bouguettaya","title":"Crowdsourcing of Sensor Cloud Services","description":"\n                                \n                \u003cp\u003e\n                                        This book develops a crowdsourced sensor-cloud service composition framework taking into account \n                    \n                    \u003ci\u003espatio-temporal \u003c\/i\u003e\n                                        aspects. This book also unfolds new horizons to service-oriented computing towards the direction of \n                    \n                    \u003ci\u003ecrowdsourced sensor data based applications\u003c\/i\u003e\n                                        , in the broader context of Internet of Things (IoT). It is a massive challenge for the IoT research field how to \n                    \n                    \u003ci\u003eeffectively \u003c\/i\u003e\n                                        and \n                    \n                    \u003ci\u003eefficiently \u003c\/i\u003e\n                                        capture, manage and deliver sensed data as \n                    \n                    \u003ci\u003euser-desired services\u003c\/i\u003e\n                                        . 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.\n                \n                \u003c\/p\u003e\n                                \n                \u003cp\u003e\n                                        Delivering a novel service framework to manage crowdsourced sensor data provides high-level abstraction (i.e., \n                    \n                    \u003ci\u003esensor-cloud service\u003c\/i\u003e\n                                        ) to model crowdsourced sensor data from \n                    \n                    \u003ci\u003efunctional \u003c\/i\u003e\n                                        and \n                    \n                    \u003ci\u003enon-functional \u003c\/i\u003e\n                                        perspectives, seamlessly turning the raw \n                    \n                    \u003ci\u003edata \u003c\/i\u003e\n                                        into “ready to go” \n                    \n                    \u003ci\u003eservices\u003c\/i\u003e\n                                        . A creative indexing model is developed to capture and manage the \n                    \n                    \u003ci\u003espatio-temporal dynamism \u003c\/i\u003e\n                                        of crowdsourced service providers.\n                \n                \u003c\/p\u003e\n                                \n                \u003cp\u003eDelivering 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.\u003c\/p\u003e\n                                \n                \u003cp\u003eDelivering 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.\u003c\/p\u003e\n                                \n                \u003cp\u003eThe 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.\u003c\/p\u003e\n                                \n                \u003cp\u003eThis 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.  \u003c\/p\u003e\n                                \n                \u003cp\u003e\u003c\/p\u003e\n                            \n            \u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783030082697\"\u003e\u003ch3\u003e\u003c\/h3\u003e\u003c\/div\u003e","brand":"Libri","offers":[{"title":"Softcover - 9783030082697","offer_id":39418837762141,"sku":"9783030082697","price":53.49,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/f0b75e2a-42fd-4cb0-bfe0-371888532ef3.jpg?v=1775189071","url":"https:\/\/shop.autorenwelt.de\/products\/crowdsourcing-of-sensor-cloud-services-von-azadeh-ghari-neiat-athman-bouguettaya","provider":"Autorenwelt Shop","version":"1.0","type":"link"}