05034nam a22005295i 4500 978-3-319-91536-4 DE-He213 20210618203318.0 cr nn 008mamaa 180625s2018 gw | s |||| 0|eng d 9783319915364 978-3-319-91536-4 10.1007/978-3-319-91536-4 doi QA76.76.A65 UNH bicssc COM032000 bisacsh UNH thema UDBD thema 005.7 23 Ghari Neiat, Azadeh. author. aut http://id.loc.gov/vocabulary/relators/aut Crowdsourcing of Sensor Cloud Services [electronic resource] / by Azadeh Ghari Neiat, Athman Bouguettaya. 1st ed. 2018. Cham : Springer International Publishing : Imprint: Springer, 2018. XIX, 116 p. 43 illus., 36 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda 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. 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. . Application software. Management information systems. Computer science. Computer communication systems. Information Systems Applications (incl. Internet). https://scigraph.springernature.com/ontologies/product-market-codes/I18040 Management of Computing and Information Systems. https://scigraph.springernature.com/ontologies/product-market-codes/I24067 Computer Communication Networks. https://scigraph.springernature.com/ontologies/product-market-codes/I13022 Bouguettaya, Athman. author. (orcid)0000-0003-1254-8092 https://orcid.org/0000-0003-1254-8092 aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) Springer Nature eBook Printed edition: 9783319915357 Printed edition: 9783319915371 Printed edition: 9783030082697 https://doi.org/10.1007/978-3-319-91536-4 ZDB-2-SCS ZDB-2-SXCS Computer Science (SpringerNature-11645) Computer Science (R0) (SpringerNature-43710)