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Managing Cloud networking costs for data-intensive applications by provisioning dedicated network links

Published: 17 July 2021 Publication History

Abstract

Many scientific high-throughput applications can benefit from the elastic nature of Cloud resources, especially when there is a need to reduce time to completion. Cost considerations are usually a major issue in such endeavors, with networking often a major component; for data-intensive applications, egress networking costs can exceed the compute costs. Dedicated network links provide a way to lower the networking costs, but they do add complexity. In this paper we provide a description of a 100 fp32 PFLOPS Cloud burst in support of IceCube production compute, that used Internet2 Cloud Connect service to provision several logically-dedicated network links from the three major Cloud providers, namely Amazon Web Services, Microsoft Azure and Google Cloud Platform, that in aggregate enabled approximately 100 Gbps egress capability to on-prem storage. It provides technical details about the provisioning process, the benefits and limitations of such a setup and an analysis of the costs incurred.

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  • (2023)Publisher's Note:Astroparticle Physics10.1016/j.astropartphys.2022.102794147(102794)Online publication date: May-2023

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cover image ACM Conferences
PEARC '21: Practice and Experience in Advanced Research Computing 2021: Evolution Across All Dimensions
July 2021
310 pages
ISBN:9781450382922
DOI:10.1145/3437359
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Publication History

Published: 17 July 2021

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Author Tags

  1. Cloud
  2. astrophysics
  3. networking

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Cited By

View all
  • (2023)Accelerating Data-Intensive Seismic Research Through Parallel Workflow Optimization and Federated CyberinfrastructureProceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis10.1145/3624062.3624276(1970-1977)Online publication date: 12-Nov-2023
  • (2023)Ultra high energy cosmic rays The intersection of the Cosmic and Energy FrontiersAstroparticle Physics10.1016/j.astropartphys.2023.102819149(102819)Online publication date: Jul-2023
  • (2023)Publisher's Note:Astroparticle Physics10.1016/j.astropartphys.2022.102794147(102794)Online publication date: May-2023

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