Cloud patterns for mOSAIC-enabled scientific applications

Teodor Florin Fortiş, Gorka Esnal Lopez, Imanol Padillo Cruz, Gábor Ferschl, Tamás Máhr

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Citations (Scopus)

Abstract

Cloud computing has a huge potential to change the way data- and computing-intensive applications are performing computations. These specific categories of applications raise different concerns and issues that can be bypassed by identifying relevant reusable cloud computing patterns, on the top of specific cloud computing use cases. Development of new cloud patterns will help offering a better support for the development and deployment of scientific distributed application over a cloud infrastructure.

Original languageEnglish
Title of host publicationEuro-Par 2011
Subtitle of host publicationParallel Processing Workshops - CCPI, CGWS, HeteroPar, HiBB, HPCVirt, HPPC, HPSS, MDGS, ProPer, Resilience, UCHPC, VHPC, Revised Selected Papers
PublisherSpringer Verlag
Pages83-93
Number of pages11
EditionPART 1
ISBN (Print)9783642297366
DOIs
Publication statusPublished - 2012
Event17th Parallel Processing Workshops, Euro-Par 2011: CCPI 2011, CGWS 2011, HeteroPar 2011, HiBB 2011, HPCVirt 2011, HPPC 2011, HPSS 2011, MDGS 2011, ProPer 2011, Resilience 2011, UCHPC 2011, VHPC 2011 - Bordeaux, France
Duration: 29 Aug 20112 Sept 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume7155 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference17th Parallel Processing Workshops, Euro-Par 2011: CCPI 2011, CGWS 2011, HeteroPar 2011, HiBB 2011, HPCVirt 2011, HPPC 2011, HPSS 2011, MDGS 2011, ProPer 2011, Resilience 2011, UCHPC 2011, VHPC 2011
Country/TerritoryFrance
CityBordeaux
Period29/08/112/09/11

Keywords

  • Cloud computing
  • cloud patterns
  • cloud use cases

Fingerprint

Dive into the research topics of 'Cloud patterns for mOSAIC-enabled scientific applications'. Together they form a unique fingerprint.

Cite this