| Autor: |
Kreshel Nguyen, Christian Garcia, Anagha Jamthe, Joe Stubbs, Julia Looney, Mike Packard |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Advances in Parallel & Distributed Processing, and Applications ISBN: 9783030699833 |
| Popis: |
Abaco is an open-source, distributed cloud-computing platform based on the Actor Model of Concurrent Computation and Linux containers funded by the National Science Foundation and hosted at the Texas Advanced Computing Center. Abaco recently implemented an autoscaler feature that allows for automatic scaling of an actor’s worker pool based on an actor’s mailbox queue length. In this paper, we address several research questions related to the performance of the Abaco platform with manual and autoscaler functionality. Performance and stability are tested by systematically studying the aggregate FLOPS and hashrate throughput of Abaco in various scenarios. From testing we establish that Abaco correctly scales to 100 Jetstream “m1.medium” instances and achieves over 19 TFLOPS. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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