WIRE: Resource-efficient Scaling with Online Prediction for DAG-based Workflows

Bing Xie,Qiang Cao,Mayuresh Kunjir, Linli Wan,Jeff Chase,Anirban Mandal,Mats Rynge

2021 IEEE International Conference on Cluster Computing (CLUSTER)（2021）

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摘要

This paper introduces WIRE that manages resources for the DAG-based workflows on IaaS clouds. WIRE predicts and plans resources over the MAPE (Monitor-Analyze-Plan-Execute) loops to: 1) Estimate task performance with online data, 2) Conduct simulations to predict the upcoming loads based on online estimates and workflow DAGs, 3) Apply a resource-steering policy to size cloud instance pools for the...

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关键词

Costs,Conferences,Wires,Predictive models,Parallel processing,Data models,Resource management

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