FedIDS: a federated cloud storage architecture and satellite image delivery service for building dependable geospatial platforms

Gonzalez-Compeán, J. L.; Sosa-Sosa, Víctor J.; Díaz-Pérez, Arturo; Carretero, Jesús; Marcelín-Jiménez, Ricardo

doi:10.1080/17538947.2017.1353147

Cited by 11 publications

(18 citation statements)

References 26 publications

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“…Es importante señalar que los nodos de almacenamiento no serán nodos redundantes, ya que estos no contienen copias exactas unos de otros, en su lugar, se usará un esquema de partición de datos, lo cual permitirá distribuir diversas secciones de los archivos (slices) a lo largo de los nodos de almacenamiento, por lo tanto, solo serán necesarios un subconjunto de estos nodos para recuperar la información original aumentando así la robustez del PADN [16].…”

Section: Segmento Terrestreunclassified

TEPEU-1: Misión espacial latinoamericana con fines científicos y de validación tecnológica

Padrón-Godínez

2021

I+D Tecnológico

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El presente trabajo muestra el diseño conceptual de la primera misión del Programa Espacial TEPEU, estará basada en el desarrollo de un satélite pequeño de órbita baja con un objetivo doble. Primero, demostrar las capacidades institucionales latinoamericanas para la integración de grupos académicos interdisciplinarios con proyectos afines mediante la planeación, desarrollo y construcción de un satélite tipo Cubesat unitario que orbitará la Tierra, así como la integración de una red de estaciones terrenas basada en infraestructura de radio aficionados para la recepción de datos y telemetría del satélite en órbita. Segundo, desde el punto de vista científico, con las mediciones obtenidas con la instrumentación a bordo, se desarrollarán modelos matemáticos y computacionales que describan fenómenos naturales que ocurren en la tierra y su atmósfera, relacionados con la estimación de fenómenos geofísicos y su correlación con el comportamiento de capas atmosféricas. En el apartado técnico, se trabaja en establecer características de la instrumentación y equipos a implementar, tanto en el segmento espacio como con el segmento tierra. En el segmento espacial, se trabaja en la definición del módulo de carga útil, contendrá sensores comerciales y experimentales, tales como un magnetómetro comercial y una sonda de Langmuir tipo parche, desarrollado en conjunto con el Laboratorio de Exploración Espacial y Planetaria de la Universidad de Chile. En el caso del segmento tierra, se proyecta, en colaboración con la Federación Mexicana de Radio Experimentadores, federaciones y clubes de radio aficionados en América Latina y otros países, la integración de una red de estaciones terrenas.

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Section: Segmento Terrestreunclassified

TEPEU-1: Misión espacial latinoamericana con fines científicos y de validación tecnológica

Padrón-Godínez

2021

I+D Tecnológico

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“…Moreover, the service container can be reused to change the geoportal by another application (e.g. preservation of images or manufacturing of derivative products) and could enable agencies to create workflows through the life cycle of the satellite imagery [3].…”

Section: An Interoperable Cloud-based Geoportal: Design Principlesmentioning

confidence: 99%

“…The dispatcher also included a centralized database that is accessed by each geoportal microservice, which also includes a front-end container to receive data from the dispatcher and a back-end container to get access to the repository of EOPs and the metadata files as well as to deliver this information to the end-users through the front-end container. In the storage microservice of the slaves, modules retrieve/delivers EOPs from catalogs preserved and transported by using a federated cloud storage service called FedIDS [3]. The catalogs of satellite images of three sensors, Terra, Aqua of the MODIS platform and LandSat5, were considered in this evaluation.…”

Section: The Geoportal Deployment On a Private Cloudmentioning

confidence: 99%

“…For instance, in the acquisition stage, services are required for parsing metadata files created by antenna operators, mapping with EOPs and make data and metadata indexes available for other services/applications and geoportals. In the preservation [3] stage indexed EOPs are ensured/stored in conservation infrastructure (I.e. Cloud/cluster storage services) for other systems to acquire these products.…”

Section: Introductionmentioning

confidence: 99%

“…A prototype of the geoportal service was implemented in a private cloud and connected to a satellite imagery repository service of an antenna (ERIS) managed by Mexican Space Agency by using a federated service [3,7]. A proof of concept was performed with this prototype and an experimental evaluation was conducted with the participation of real end-users.…”

Section: Introductionmentioning

confidence: 99%

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An Interoperable Cloud Based Geoportal for Discovery and Managment of Earth Observation Products

Sánchez‐Gallegos¹,

J.L²,

Sosa-Sosa³

et al. 2018

Computer Science &Amp; Information Technology

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This paper presents the design and development of an interoperable geoportal service for discovery and management of earth observation products (EOPs). In this service, the geoportal components are encapsulated into virtual containers that are launched into the cloud by using a microservice scheme to solve issues such as interoperability (with other systems) and implementation (over different platforms). A search microservice that analyses the preferences of end-users (settings of spatiotemporal and polygon shapes) and builds clusters of users sharing preferences was included into the geoportal for recommending/delivering, in advance, products matching with end-user preferences. The geoportal service also enables end-users to organize EOPs on-the-fly by using spatiotemporal parameters. A prototype of this service was implemented in a private cloud and connected to a satellite imagery repository of an antenna (ERIS) managed by Mexican Space Agency in a proof of concept. Learned lessons and performance assessments are described through an experimental evaluation with real users' participation. AUTHORSDante D. Sánchez-Gallegos is a master student at

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Kulla‐RIV: A composing model with integrity verification for efficient and reliable data processing services

Reyes‐Anastacio,

Gonzalez‐Compeán,

Sosa‐Sosa

et al. 2024

Softw Pract Exp

Self Cite

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This article presents the design and implementation of a reliable computing virtual container‐based model with integrity verification for data processing strategies named the reliability and integrity verification (RIV) scheme. It has been integrated into a system construction model as well as existing workflow engines (e.g., Kulla and Makeflow) for composing in‐memory systems. In the RIV scheme, the reliability (R) component is in charge of providing an implicit fault tolerance mechanism for the processes of data acquisition and storage that take place in a data processing system. The integrity verification (IV) component is in charge of ensuring that data transmitted/received between two processing stages are correct and are not modified during the transmission process. To show the feasibility of using the RIV scheme, real‐world applications were created by using different distributed and parallel systems to solve use cases of satellite and medical imagery processing. This evaluation revealed encouraging results as some solutions that assumed the cost (overhead) of using the RIV scheme, for example, Kulla (the Kulla‐RIV solution), achieve better response times than others without the RIV scheme (e.g., Makeflow) that remain exposed to the risks caused by to the lack of RIV strategies.

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FedIDS: a federated cloud storage architecture and satellite image delivery service for building dependable geospatial platforms

Cited by 11 publications

References 26 publications

TEPEU-1: Misión espacial latinoamericana con fines científicos y de validación tecnológica

TEPEU-1: Misión espacial latinoamericana con fines científicos y de validación tecnológica

An Interoperable Cloud Based Geoportal for Discovery and Managment of Earth Observation Products

Kulla‐RIV: A composing model with integrity verification for efficient and reliable data processing services

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