These are then made available using a variety of middleware technologies. Rather than direct funding from the experiments or WLCG, the sites, supported by their government agencies, commit to provide compute capacity and storage for a period of time as a pledge and these are recorded in the REBUS system. Compute resources in the WLCG are allocated via a pledge model. Resources are managed world wide with the World Wide Computing LHC Grid which executes over 2 million jobs per day. The cloud is currently around 160,000 cores in total spread across two data centres in Geneva and Budapest. The CERN cloud provides computing resources for the Large Hadron Collider and other experiments. Within the Scientific Working group, these stories will be refined and reviewed to produce specifications and identify the potential communities who could start on the development. This blog is intended to provide the details of the CERN cloud usage, the approach to resource management and some areas where OpenStack could provide additional function to improve the way we manage the accounting process. Given limited time available, it was not possible for each of the interested members of the accounting team to explain their environment. While the working group will cover all the areas (and some outside this list), our focus is on accounting (3). Simulation and analysis of the collisions such as in the LHC can be farmed to different compute resources with each event being handled independently and no need for fast interconnects. Most of the applications run at CERN are high throughput, embarrassingly parallel applications. Stories is addressing how we collect requirements from the scientific use cases and work with the OpenStack community teams, such as the Product working group, to include these into the development roadmaps along with defining reference architectures on how to cover common use cases such as high performance or high throughput computing clouds in the scientific domain.Accounting covering the wide range of needs to track usage of resources and showback/chargeback to the appropriate user communities.This team will work on understanding additional needs with the OpenStack Ironic project. Bare metal management looking at how to deploy bare metal for the maximum performance within the OpenStack frameworks for identity, quota and networking.There are a number of file systems supported by Manila but many High Performance Computing sites (HPC) use Lustre which is focussed on the needs of the HPC user community. Parallel file system support in Manila.
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