DOI | Resolve DOI: https://doi.org/10.1088/1742-6596/331/6/062010 |
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Author | Search for: Gable, I.; Search for: Agarwal, A.; Search for: Anderson, M.; Search for: Armstrong, P.; Search for: Fransham, K.; Search for: Harris, D.; Search for: Leavett-Brown, C.; Search for: Paterson, M.; Search for: Penfold-Brown, D.; Search for: Sobie, R.J.; Search for: Vliet, M.; Search for: Charbonneau, A.1; Search for: Impey, R.1; Search for: Podaima, W.1 |
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Affiliation | - National Research Council of Canada
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Format | Text, Article |
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Conference | International Conference on Computing in High Energy and Nuclear Physics, CHEP 2010, 18 October 2010 through 22 October 2010, Taipei |
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Subject | Amazon ec2; Batch systems; Job description; Job scheduler; Software component; Employment; High energy physics; Job analysis; Middleware; Nuclear physics; Scheduling; Distributed computer systems |
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Abstract | The emergence of academic and commercial Infrastructure-as-a-Service (IaaS) clouds is opening access to new resources for the HEP community. In this paper we will describe a system we have developed for creating a single dynamic batch environment spanning multiple IaaS clouds of different types (e.g. Nimbus, OpenNebula, Amazon EC2). A HEP user interacting with the system submits a job description file with a pointer to their VM image. VM images can either be created by users directly or provided to the users. We have created a new software component called Cloud Scheduler that detects waiting jobs and boots the user VM required on any one of the available cloud resources. As the user VMs appear, they are attached to the job queues of a central Condor job scheduler, the job scheduler then submits the jobs to the VMs. The number of VMs available to the user is expanded and contracted dynamically depending on the number of user jobs. We present the motivation and design of the system with particular emphasis on Cloud Scheduler. We show that the system provides the ability to exploit academic and commercial cloud sites in a transparent fashion. |
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Publication date | 2011 |
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In | |
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Language | English |
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Peer reviewed | Yes |
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NPARC number | 21271682 |
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Export citation | Export as RIS |
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Report a correction | Report a correction (opens in a new tab) |
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Record identifier | 438e6434-ec30-4973-854a-6f3bd0d0b04b |
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Record created | 2014-03-24 |
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Record modified | 2020-04-21 |
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