GNSS based services on cloud environment
Author(s)
Language
English
Obiettivo Specifico
1IT. Reti di monitoraggio e Osservazioni
Status
Published
JCR Journal
N/A or not JCR
Peer review journal
Yes
Date Issued
2013
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.
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.
Type
article
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