Computational performance of a cloud GNSS receiver using multi-Thread parallelization

The proliferation of GNSS-based (Global Navigation Satellite Systems) services and applications providing ubiquitous, seamless and secure/reliable positioning is driving the use of high-performance devices. This implies the requirement of a higher computational capability in miniaturized size and low power consumption devices such as smartphones or Smart- City sensors. In this context, a possible alternative is to carry out the computational tasks outside the device, making use of the scalable, secure and nearly unlimited resources of Cloud infrastructure. This work presents the implementation of a Cloud-based GNSS receiver by taking advantage of one of the available Cloud infrastructures, such as Amazon Web Services (AWS). We will provide a review of the most relevant features of AWS for GNSS signal processing, as a case of study for stimulating the use of Cloud infrastructures within the GNSS community, while paving the way for the development of nextgeneration GNSS receivers. Furthermore, parallel computing will be studied to improve the Cloud GNSS receiver performance.