GNSS Based Services on Cloud Environment

Abstract

The ionosphere is the single largest contributor to the GNSS (Global Navigation Satellite System) error budget and ionospheric scintillation (IS) in particular is one of its most harmful effects. The Ground Based Scintillation Climatology (GBSC) has been recently developed by INGV as a software tool to identify the main areas of the ionosphere in which IS is more likely to occur. Due to the high computational load required, GBSC is currently used only for scientific, offline, studies and not as a real time service. Recently, a collaboration was initiated between ISMB and INGV in order to identify which cloud service model (IaaS, PaaS or SaaS) is most suitable for implementing the GBSC technique within the cloud computing environment. The aims of this joined effort are twofold: i) to optimize the computational resources allocation strategy/plan for the GBSC service, ii) to fine tune the algorithm for dynamic and real time application, towards a service contributing to high precision professional applications for the GNSS-reliant business sectors. Preliminary result of the implementation of GBSC within the cloud environment will be shown.

User-Oriented ICT Cloud Architecture for High-Accuracy GNSS-Based Services

“…Being inspired by the work in [13], in which only a research-driven application has been implemented on cloud infrastructure, seven use cases from different GNSS domains (from research to industry) have been considered and integrated among them. In addition, while the proposed solution in [13] was the use of a private cloud on a pool of virtual machines running on the servers at a research institute, here we propose a solution based on a public type of cloud. The design-free option promoted by public cloud makes the deployment of the microservices easier and cost-effective system maintenance in comparison to the private cloud, and this is because security and network design are pre-defined in a public cloud.…”

“…We notice readers that the realization of such a system and the evaluation of its performance are out of the scope of this paper. This somehow limits the possibility also to test the whole system performance in terms of timing, introduced delays, and jitters and then provide a thorough comparison with the benchmarks reported in [13]. However, system components and required performance are assessed through a technical survey submitted to TREASURE’s partners and ESRs.…”

“…An added value of this work is the complementary and multi-disciplinary analysis of the commercial potential of the innovation proposed. As stated in [13] in relation to the proposed Ground-Based Scintillation Climatology (GBSC) software tool, the emergence of new user needs implies also business opportunities. Namely, malleability and optimized computational capacity of a cloud-based ICT infrastructure can pave the way for the provision of better-performing and affordable services in new domains of application.…”

A novel method based on MapReduce to extract auxiliary information for GNSS receivers

“…For example, Mossucca et al presented a data-processing model that processed the massive GNSS ionospheric data with cloud computing to provide better service about Ground-Based Scintillation Climatology [4]. For example, Mossucca et al presented a data-processing model that processed the massive GNSS ionospheric data with cloud computing to provide better service about Ground-Based Scintillation Climatology [4].…”

“…In addition, with the development of big data technology, some new data processing technology is applied in processing of GNSS data, and the efficiency is improved, but all of the work is not associated with GAI. For example, Mossucca et al presented a data‐processing model that processed the massive GNSS ionospheric data with cloud computing to provide better service about Ground‐Based Scintillation Climatology . Huang et al implemented a parallel map‐matching algorithm based on massive vehicle GPS data and MapReduce in Hadoop platform .…”