Transcription of Resource Central: Understanding and Predicting Workloads ...
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Resource Central: Understanding and Predicting Workloads ...
Resource central : Understanding and PredictingWorkloads for Improved Resource management inLarge Cloud Platforms Eli BondeMicrosoft MuzioITA, BianchiniMicrosoft research to date has lacked data on the characteris-tics of the production virtual machine (VM) Workloads oflarge cloud providers. A thorough Understanding of thesecharacteristics can inform the providers Resource manage-ment systems, VM scheduler, power manager, serverhealth manager. In this paper, we first introduce an exten-sive characterization of Microsoft Azure s VM workload,including distributions of the VMs lifetime, deployment size,and Resource consumption. We then show that certain VMbehaviors are fairly consistent over multiple lifetimes, is an accurate predictor of future behavior.
Based on this observation, we introduce Resource Central (RC), a system that collects VM telemetry, periodically learns these behaviors into prediction models offline, and provides behavior predictions online to various resource management systems. Unlike other systems, RC serves predictions from a
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