Social-Sensor Cloud Service Selection

We propose a new framework for social-sensor cloud services selection based on spatio-textual correlation between user's query and service. The proposed research defines a formal social-sensor cloud service model that abstracts the functional and non-functional aspects of social-sensor data on the cloud in terms of spatio-temporal, textual and quality of service parameters. Proposed framework is a 4-stage filtering algorithm, to select social-sensor cloud services based on user query and quality of service demands. 4-stage filtering is based on spatial correlation, textual correlation, visual features and quality of service parameters. Analytical results are presented to show the performance of the proposed approach.This publication was made possible by NPRP grant 9-224-1-049 from the Qatar National Research Fund (a member of Qatar Foundation) and DP160103595 from the Australian Research Council. The findings achieved herein are solely the responsibility of the authors.Scopu