In this paper we introduced PEEL as a Framework for benchmarking distributed systems and algorithms. PEEL significantly reduces the operational complexity.
PEEL enables the transparent specification of benchmarking workloads and system configuration parameters. It orchestrates the sys- tems involved and ...
PEEL enables the transparent specification of benchmarking workloads and system configuration parameters and automatically runs and collects all associated ...
Jan 6, 2018 · Bibliographic details on PEEL: A Framework for Benchmarking Distributed Systems and Algorithms.
PEEL: A framework for benchmarking distributed systems and algorithms. C Boden, A Alexandrov, A Kunft, T Rabl, V Markl. Performance Evaluation and Benchmarking ...
PEEL: A framework for benchmarking distributed systems and algorithms. C Boden, A Alexandrov, A Kunft, T Rabl, V Markl. Performance Evaluation and Benchmarking ...
PEEL: A Framework for Benchmarking Distributed Systems and Algorithms ... Introducing TPCx-HS: The First Industry Standard for Benchmarking Big Data Systems.
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Peel is a framework that helps you to define, execute, analyze, and share experiments for distributed systems and algorithms.
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In this project, we propose a prototype of a benchmarking platform capable of measuring the performance of an end-to-end machine learning system.
PEEL: A framework for benchmarking distributed systems and algorithms. C Boden, A Alexandrov, A Kunft, T Rabl, V Markl.