Towards Managed Terabit/s Scientific Data Flows
Abstract
Scientific collaborations on a global scale, such as the LHC experiments at CERN [1], rely today on the presence of high performance, high availability networks. In this paper we review the developments performed over the last several years on high throughput applications, multilayer software-defined network path provisioning, path selection and load balancing methods, and the integration of these methods with the mainstream data transfer and management applications of CMS [2], one of the major LHC experiments. These developments are folded into a compact system capable of moving data among research sites at the 1 Terabit per second scale. Several aspects that went into the design and target different components of the system are presented, including: evaluation of the 40 and 100Gbps capable hardware on both network and server side, data movement applications, flow management and the network-application interface leveraging advanced network services. We report on comparative results between several multi-path algorithms, the performance increase obtained using this approach, and present results from the related SC'13 demonstration.
Additional Information
© 2014 IEEE. Publication Date 2014-11-16. We thank our commercial partners who made this demonstration possible through donations of the large ensemble of state-of-the art equipment used during SC'13: Mellanox, Brocade, Dell/Force10, Echostreams, Intel, Padtec and Extreme Networks. The development work described in this paper was supported through the following grants: DOE DESC0007346, NSF 0958998, NSF 1246133 and Cisco Research grant 2014-128271. We also thank the SCinet network team for their outstanding support over the past editions of the Supercomputing exhibition, culminating in this year's infrastructure that will reach the Terabit/s scale.Additional details
- Eprint ID
- 51870
- Resolver ID
- CaltechAUTHORS:20141117-145342376
- Department of Energy (DOE)
- DESC0007346
- NSF
- 0958998
- NSF
- 1246133
- Cisco Research grant
- 2014-128271
- Created
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2014-11-18Created from EPrint's datestamp field
- Updated
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2021-11-10Created from EPrint's last_modified field