Crowdsourcing of Sensor Cloud Services
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Beschreibung
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.
Provides Crowdsourced WiFi Coverage as a Service Presents Spatio-Temporal Composition of Sensor-Cloud Services Introduces a novel, heuristic failure-proof service composition algorithm based on the incremental re-planning algorithm D* Lite for real-time reaction to sensor-cloud services which become unavailable because they are no longer spatially or temporally available
Autor*in
Azadeh Ghari Neiat
Themen in »Crowdsourcing of Sensor Cloud Services«
Sensor Cloud Spatio-temporal service model Crowdsourced services Incentive model Computing Spatio-temporal composition QoS Coverage equilibrium Internet of Things IoT services Travel planning Crowdsourced WiFi hotspot sharing Dynamic reconfiguration Replanning Smart city
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“The book is suitable for scientists and programmers, both for research and for developing practical applications. … the proposed approaches, models, and algorithms could be useful for managing similar space-intensive and/or time-intensive crowdsourced cloud services.” (Snezhana Gocheva-Ilieva, Computing Reviews, February, 2019)
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