ECEE Enabling Clouds for eScience The open collaboration spot for cloud projects in Europe Enabling Clouds for eScience The open collaboration spot for cloud projects in Europe Sept 16, 2010, Amsterdam
Recap - Why “ECEE” Many initiatives with more or less the same scope Accelerate the learning process Share the load Cross border and cross project services
Who’s “in”? So far. NEONSweden, Norway, Denmark, Finland, Iceland BalticCloudEstonia, Latvia, Lithuania, Belarus, Poland NGSUnited Kingdom GRNET cloudGreece SARA cloudThe Netherlands UCMSpain StratusLabFrance, Greece, Switzerland, Spain, Ireland VENUS-CItaly, Germany, UK, Spain, Sweden, Greece, Israel SEECCISlovenia, Croatia, Serbia, Bosnia and Herzegovina, Montenegro, Kosova, Macedonia, Albania, Romania, Bulgaria CESGASpain (part of Open Cirrus)
Common scope (update?) Investigate if a machine provisioning interface like that of Amazon's EC2 coupled with a library of scientific appliances is of value to European academic research communities. Investigate how to build a cloud storage infrastructure that supports the use of clouds for scientific applications.
Identify the economic value of cloud computing Understand the economic implications of moving parts of HPC onto cloud infrastructures. Estimate the fraction of current HPC compute jobs that could realistically be executed on clouds Estimate the cost of building and operating a cloud facility of the same capacity as the above percentage of the total current resources Estimate possible cost reductions achievable by scaling out peak loads to commercial clouds Compare cost of a private cloud facility with a commercial cloud Estimate savings in scenarios with Commercial clouds when aiming at direct peering (data transfer cost) Allocating their spare capacity at a reduced price Common scope (update?)
Understand the economic implications of moving parts of HPC onto cloud infrastructures (continued) * Estimate possible cost reductions achievable by scaling out peak loads to commercial clouds * Compare cost of a private cloud facility with a commercial cloud * Estimate savings in scenarios with * Commercial clouds when aiming at direct peering (data transfer cost) * Allocating their spare capacity at a reduced price Common scope (update?)
Common findings (update) Users - hard to find good representatives that have the time to participate Open source vs closed source - pros and cons Pricing - how to compete, how to estimate, what are the risks...
questions above (and more) will be address in today’s presentations and the following panel
Brief Agenda Lunch: Industry presentations - Brochade, IBM, OpenNebula : Detailed findings - project- by-project, sharing specific findings, and roadmap : GRNET followed by discussion, pointing at common challenges and how to share the load, to update common high-level roadmap
Next... VENUS-C SARA NEON StratusLab NGS GRNET