SAICG Science Applications In Clouds and Grids 15-16 March 2012.

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Presentation transcript:

SAICG Science Applications In Clouds and Grids March 2012

House Rules

Advantages Services on demand Dont need to run machine rooms Economy of scale (maybe)

Gaps Skills – how to adapt things for cloud Suitability –HPC – MPI latency Coding to PaaS? Workflow? Standards?

JISC PRESERVATION-IN-THE- CLOUD WORKSHOP Data in the cloud?

Cloud Services New (old) services in the cloud –integrity-as-a-service –preservation-as-a-service –archiving-as-a-service –backup-as-a-service Layer on Storage-as-a-service?

What are the (successful) case studies? Data preservation policies...? Green(er) IT in the cloud? Need for transparency in infrastructure

Advice? Advice/services to –public sector/govt (eg ENISA - EU) –academia (eg JISC - UK) How much cost (savings) can be transferred to the cloud

SCIENTIFIC SERVICES IN THE CLOUD This workshop

Cloud Models for Science Using SaaS/PaaS/IaaS Data services – adding preservation, archives, backup, secure data Costing for big data and science

Future of Clouds? Higher level services Make use of research –How do we turn it to prodn? –... sustainably? (projects close...) Towards mix & match (eg hybrid, or combine grids/clouds/sc)

This Workshop Focus on scientific applications in the cloud Gaps, advantages, common stuff... Can we get better at doing science in the cloud? Case studies?

References...? Magellan report (Argonne+NERSC) e-Infrastructure reports

Many thanks to... EPSRC – for funding this workshop OeRC – for hosting the workshop The programme committee (JISC+FNAL)