Exploiting user metadata for energy-aware node allocation in a cloud storage system
作者：
Highlights：
• Mechanisms to reduce cloud storage energy consumption by around 60%.
• Dynamic and static storage allocation methods based on user metadata.
• A mathematical model to estimate energy consumption, latency and load balance.
• Theoretical and experimental evaluations of the proposed methods.
摘要
•Mechanisms to reduce cloud storage energy consumption by around 60%.•Dynamic and static storage allocation methods based on user metadata.•A mathematical model to estimate energy consumption, latency and load balance.•Theoretical and experimental evaluations of the proposed methods.
论文关键词：Energy efficiency,Cloud storage,Cloud systems,Load balancing,Metadata aware placement
论文评审过程：Received 4 August 2015, Accepted 21 September 2015, Available online 21 October 2015, Version of Record 27 November 2015.
论文官网地址：https://doi.org/10.1016/j.jcss.2015.09.003
