Abstract
Elastic cloud computing applications, i.e. applications that automatically scale according to computing needs, work on the ideal assumption of infinite resources. While large public cloud infrastructures may be a reasonable approximation of this condition, scientific computing centres like WLCG Grid sites usually work in a saturated regime, in which applications compete for scarce resources through queues, priorities and scheduling policies, and keeping a fraction of the computing cores idle to allow for headroom is usually not an option. In our particular environment one of the applications (a WLCG Tier-2 Grid site) is much larger than all the others and cannot autoscale easily. Nevertheless, other smaller applications can benefit of automatic elasticity; the implementation of this property in our infrastructure, based on the OpenNebula cloud stack, will be described and the very first operational experiences with a small number of strategies for timely allocation and release of resources will be discussed.
Highlights
Applying Cloud Computing technologies to scientific computing has been investigated ever since the public availability of Amazon’s EC2 service in 2006, and even earlier following the availability of virtualization technologies for resource optimization
While large public cloud infrastructures may be a reasonable approximation of this condition, scientific computing centres like WLCG Grid sites usually work in a saturated regime, in which applications compete for scarce resources through queues, priorities and scheduling policies, and keeping a fraction of the computing cores idle to allow for headroom is usually not an option
For a number of reasons [3], the Grid Computing paradigm was never widely adopted outside an enclave in the scientific computing community; the Cloud Computing concept, which adds
Summary
Managing competing elastic Grid and Cloud scientific computing applications using OpenNebula. This content has been downloaded from IOPscience. Please scroll down to see the full text. Ser. 664 022004 (http://iopscience.iop.org/1742-6596/664/2/022004) View the table of contents for this issue, or go to the journal homepage for more. Download details: IP Address: 188.184.3.52 This content was downloaded on 06/01/2016 at 16:05 Please note that terms and conditions apply. 21st International Conference on Computing in High Energy and Nuclear Physics (CHEP2015) IOP Publishing. Journal of Physics: Conference Series 664 (2015) 022004 doi:10.1088/1742-6596/664/2/022004
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