Abstract
Google Fusion Tables (GFT) is a Cloud Computing database that provides a service on the Web for data management and integration. By using GFT for managing sensor observations, it is possible to take advantages of benefits of Cloud Computing database, and provide a scalable sensor observation service. A Sensor Observation Service (SOS) can provide real-time or near-real-time observations. This paper presents the design and implementation of a Cloud-based sensor observation service using Cloud Computing database in SOS services. GFT allows time-critical access and visualization of these sensor observations. By storing sensor observations in GFT, the SOS service is scalable and observations can be visualized easily. Challenges of developing applications and approaches on the integration of GFT and SOS are discussed. A prototype service is developed to demonstrate the applicability of the approach.
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