perfenforcement演示:具有性能保证的数据分析

Jennifer Ortiz, Brendan Lee, M. Balazinska
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引用次数: 28

摘要

我们演示了perfenforcement,一个用于分析服务的动态扩展引擎。perfenforcement自动扩展虚拟机集群,以便在满足面向性能的服务水平协议(SLA)提供的查询运行时保证的同时,最大限度地降低成本。该演示将展示三种动态缩放算法——反馈控制、强化学习和在线机器学习——并将使与会者能够更改调优参数、性能阈值和工作负载,以比较和对比不同设置下的算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PerfEnforce Demonstration: Data Analytics with Performance Guarantees
We demonstrate PerfEnforce, a dynamic scaling engine for analytics services. PerfEnforce automatically scales a cluster of virtual machines in order to minimize costs while probabilistically meeting the query runtime guarantees offered by a performance-oriented service level agreement (SLA). The demonstration will show three families of dynamic scaling algorithms --feedback control, reinforcement learning, and online machine learning--and will enable attendees to change tuning parameters, performance thresholds, and workloads to compare and contrast the algorithms in different settings.
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