DocumentCode :
734369
Title :
Performance Analysis of the DInSAR P-SBAS Algorithm within AWS Cloud
Author :
Mossucca, L. ; Zinno, I. ; Elefante, S. ; De Luca, C. ; Goga, K. ; Terzo, O. ; Casu, F. ; Lanari, R.
Author_Institution :
Ist. Superiore Mario Boella (ISMB), Turin, Italy
fYear :
2015
fDate :
8-10 July 2015
Firstpage :
469
Lastpage :
473
Abstract :
Often scientific applications are characterized by complex workflows and large datasets to manage. Usually, these applications run in dedicated high performance computing centers with low-latency interconnections which require a consistent initial cost. Public and private cloud computing environments, thanks to their features such as customized computing environments, flexibility, and elasticity represent a valid alternative with respect to HPC clusters in order to minimize costs and optimize processing. In this paper the migration of an advanced Differential Synthetic Aperture Radar Interferometry (DInSAR) methodology for the investigation of Earth surface deformation phenomena to the Amazon Web Services (AWS) cloud computing environment is presented. Such a technique which is referred to as Parallel Small Baseline Subset (P-SBAS) algorithm allows producing mean deformation velocity maps and the corresponding displacement time-series from a temporal sequence of radar images. Moreover, an experimental analysis aimed at evaluating the P-SBAS algorithm parallel performances which are achieved within the AWS cloud by exploiting two different families of instances and by taking into account different I/O and network bandwidth configurations is presented.
Keywords :
Web services; cloud computing; geophysics computing; parallel algorithms; radar imaging; radar interferometry; scientific information systems; synthetic aperture radar; time series; AWS cloud computing environment; Amazon Web services; DInSAR P-SBAS algorithm; DInSAR methodology; HPC cluster; advanced differential synthetic aperture radar interferometry; complex workflow; customized computing environment; displacement time-series; earth surface deformation phenomena; high performance computing center; low-latency interconnection; mean deformation velocity map; network bandwidth configuration; parallel small baseline subset algorithm; public and private cloud computing environment; radar images; scientific application; temporal sequence; Cloud computing; Earth; Interferometry; Monitoring; Remote sensing; Synthetic aperture radar; DInSAR; P-SBAS; cloud computing; compute optimized instances; e-science;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Complex, Intelligent, and Software Intensive Systems (CISIS), 2015 Ninth International Conference on
Conference_Location :
Blumenau
Print_ISBN :
978-1-4799-8869-3
Type :
conf
DOI :
10.1109/CISIS.2015.69
Filename :
7185233
Link To Document :
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