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Geospatial Processing in the Cloud
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing.
2016 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Cloud computing is an ubiquitous term

that encompasses on-demand computing and

related services over the Internet. This

thesis work aims to develop a parallel

program for processing geographical

raster data and use it on the Amazon Web

Services cloud platform for parallel,

distributed processing. We will also

investigate the program’s performance on

the cloud platform and investigate

different instances to see how they

affect the program performance and

network capabilities.

We found that Amazon Web Services could

be used for parallel processing using

Message Passing Interface and that the

program scales with an increased number

of workers used, but that the scaling is

limited by the time it takes to transfer

data between nodes in the cluser. We

also saw how network performance as

shown by bandwidth tests varies

depending on what instance is used.

Place, publisher, year, edition, pages
2016. , 33 p.
UPTEC F, ISSN 1401-5757 ; 16008
National Category
Information Systems
URN: urn:nbn:se:uu:diva-281275OAI: oai:DiVA.org:uu-281275DiVA: diva2:913600
Subject / course
Computer Systems Sciences
Educational program
Master Programme in Engineering Physics
Available from: 2016-03-23 Created: 2016-03-21 Last updated: 2016-03-23Bibliographically approved

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