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All Projects → kmu-bigdata → Serverless Faas Workbench

kmu-bigdata / Serverless Faas Workbench

Licence: apache-2.0
FunctionBench

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python
139335 projects - #7 most used programming language

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function_bench_title

PUBLICATION

Jeongchul Kim and Kyungyong Lee, 'Function Bench : A Suite of Workloads for Serverless Cloud Function Service', IEEE International Conference on Cloud Computing 2019, 07/2019 pdf

Jeongchul Kim and Kyungyong Lee, 'Practical Cloud Workloads for Serverless FaaS, ACM Symposium on Cloud Computing 2019, 11/2019 pdf

The FunctionBench is composed of micro benchmark and application workload; the micro-benchmark uses simple system calls to measure performance of resources exclusively, and the application-benchmark represents realistic data-oriented applications that generally utilize various resources together. With the introduction of FunctionBench, we believe that researchers can easily deploy function applications to evaluate their proposed systems and algorithms justly. To the best of our knowledge, the proposed FunctionBench is the first publicly available realistic FaaS workload suites that are ready to be deployed on public cloud services.

FunctionBench workloads

1. CPU & Memory

2. Disk

3. Network

Required Cloud Service

AWS

Google Cloud

Azure

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