Centre de documentation
scientifique

An extension of virtual globe to build on-demand geospatial data sharing capability using peer-to-peer technology / Yi Liu in Transactions in GIS, vol 16 n° 6 (December 2012)  

Public [article]  inTransactions in GIS > vol 16 n° 6 (December 2012) . - pp 807 - 827 Titre : An extension of virtual globe to build on-demand geospatial data sharing capability using peer-to-peer technology Type de document : Article/Communication Auteurs : Yi Liu, Auteur ; Bin Liu, Auteur ; Liwei Fan, Auteur Année de publication : 2012 Article en page(s) : pp 807 - 827 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] globe virtuel [Termes IGN] interconnexion [Termes IGN] partage de données localisées Résumé : (Auteur) In the virtual globe system, ever higher performance is demanded for high quality service, especially when requesting intensive data from large-scale networks, such as large scene 3D city models with fine textures. Extending the virtual globe platform from the present centralized mode into a decentralized mode can significantly improve platform capacity and service quality without additional investment in hardware, but presents new challenges such as the time cost of finding a peer, unstable offering, and low service capacity. A GeoODP2P network is designed based on specific features of spatial data transmission. Next, we discuss peer selection mechanisms that relieve the negative influence of peers, and propose a pre-fetch mechanism that takes advantage of the unique characteristics of the P2P environment. This article implements a simulation system for a GeoODP2P network and presents a prototype platform that incorporates P2P functionality. Peer selection and pre-fetch mechanisms are studied and tested on this simulation system. The prototype platform run in a real scenario demonstrates the effectiveness of applying P2P to a virtual globe platform. Numéro de notice : A2012-617 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2012.01346.x En ligne : https://doi.org/10.1111/j.1467-9671.2012.01346.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32063 [article]

A multi-granularity parallel model for unified remote sensing image processing webservices / W. Guo in Transactions in GIS, vol 16 n° 6 (December 2012)  

Public [article]  inTransactions in GIS > vol 16 n° 6 (December 2012) . - pp 845 - 866 Titre : A multi-granularity parallel model for unified remote sensing image processing webservices Type de document : Article/Communication Auteurs : W. Guo, Auteur ; Xinyan Zhu, Auteur ; Tao Hu, Auteur ; Liwei Fan, Auteur Année de publication : 2012 Article en page(s) : pp 845 - 866 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] granularité d'image [Termes IGN] informatique en nuage [Termes IGN] logiciel libre [Termes IGN] partage de données localisées [Termes IGN] plateforme logicielle [Termes IGN] processus spatio-temorel [Termes IGN] service web géographique [Termes IGN] traitement d'image [Termes IGN] traitement parallèle Résumé : (Auteur) The growth of the Web has resulted in the Web-based sharing of distributed geospatial data and computational resources. The Geospatial Processing Web (GeoPW) described here is a set of services that provide a wide array of geo-processing utilities over the Web and make geo-processing functionalities easily accessible to users. High-performance remote sensing image processing is an important component of the GeoPW. The design and implementation of high-performance image processing are, at present, an actively pursued research topic. Researchers have proposed various parallel strategies for single image processing algorithm, based on a computer science approach to parallel processing. This article proposes a multi-granularity parallel model for various remote sensing image processing algorithms. This model has four hierarchical interfaces that are labeled the Region of Interest oriented (ROI-oriented), Decompose/Merge, Hierarchical Task Chain and Dynamic Task interfaces or sub-models. In addition, interfaces, definitions, parallel task scheduling and fault-tolerance mechanisms are described in detail. Based on the model and methods, we propose an open-source online platform named OpenRS-Cloud. A number of parallel algorithms were uniformly and efficiently developed, thus certifying the validity of the multi-granularity parallel model for unified remote sensing image processing web services. Numéro de notice : A2012-618 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2012.01367.x En ligne : https://doi.org/10.1111/j.1467-9671.2012.01367.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32064 [article]