We observe irregular data transfer performance across federated serverless infrastructures (sometimes faster across providers than colocated), making the entire workflow scheduling even more challenging in federated FaaS and sky computing. This paper introduces StoreLess  – a novel workflow scheduler and heuristic algorithm for serverless storage attachments that dynamically selects, provisions, and configures suitable function deployments and storage backends from the federated serverless infrastructure. StoreLess improves workflow execution time by up to 30% by running cross-regional setup compared to the state-of-the-art.

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StoreLess: Serverless Workflow Scheduling with Federated Storage in Sky Computing

  • Sashko Ristov,
  • Mika Hautz,
  • Philipp Gritsch,
  • Stefan Nastic,
  • Radu Prodan,
  • Michael Felderer

摘要

We observe irregular data transfer performance across federated serverless infrastructures (sometimes faster across providers than colocated), making the entire workflow scheduling even more challenging in federated FaaS and sky computing. This paper introduces StoreLess  – a novel workflow scheduler and heuristic algorithm for serverless storage attachments that dynamically selects, provisions, and configures suitable function deployments and storage backends from the federated serverless infrastructure. StoreLess improves workflow execution time by up to 30% by running cross-regional setup compared to the state-of-the-art.