SC22 Proceedings

The International Conference for High Performance Computing, Networking, Storage, and Analysis

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Lightning Talk: A Case of Multi-Resource Fairness for Serverless Workflows


Workshop: 4th International Workshop on Containers and New Orchestration Paradigms for Isolated Environments in HPC (CANOPIE-HPC)

Authors: Amit Samanta and Ryan Stutsman (University of Utah)


Abstract: Serverless platforms have exploded in popularity in recent years, but, today, these platforms are still unsuitable for large classes of applications. They perform well for batch-oriented workloads that perform coarse transformations over data asynchronously, but their lack of clear service level agreements (SLAs), high per-invocation overheads, and interference make deploying online applications with stringent response time demands impractical. Our assertion is that beyond the glaring issues like cold start costs, a more fundamental shift is needed in how serverless function invocations are provisioned and scheduled in order to support these more demanding applications. Specifically, we propose a platform that leverages the observability and predictability of serverless functions to enforce multi-resource fairness. Finally, we propose a new distributed and hierarchical function scheduling architecture that combines lessons from multi-resource fair scheduling to create an approach that we believe will enable tighter SLAs on serverless platforms than has been possible in the past.


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