Elasticity management of Streaming Data Analytics Flows on clouds

作者：

Highlights：

• Optimal resource share analysis across the data analytics flow layers.

• Multi-layered dynamic resource allocation for cloud-hosted data analytics flows.

• Reducing the deviation from desired utilization of the resources by up to 48%.

摘要

•Optimal resource share analysis across the data analytics flow layers.•Multi-layered dynamic resource allocation for cloud-hosted data analytics flows.•Reducing the deviation from desired utilization of the resources by up to 48%.

论文关键词：Data analytics flow,Control theory,Data-intensive workloads,Resource management,Public clouds,Multi-objective optimization

论文评审过程：Received 15 January 2016, Revised 2 November 2016, Accepted 7 November 2016, Available online 29 November 2016, Version of Record 7 August 2017.

论文官网地址：https://doi.org/10.1016/j.jcss.2016.11.002