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云存储下系统测试负载数据负载均衡调度仿真

Translated title of the contribution: Simulation Research on System Test Data Load Balancing Scheduling under Cloud Storage
  • 王莎莎
  • , 黎梓瀚
  • , 刘强
  • , 陈泽鹏

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

The average utilization rate and the scheduling deviation rate are low in scheduling system load data.  In this article, a load balance scheduling method for system test load data based on cloud storage was proposed.  At first, this method matched and monitored the data of system test and extracted the corresponding data features.  Then, the method classified the features and assigned weights to the extracted data features.  Through the calculation for the equilibrium ratio of data and the fuzzy loop iterative control, the load data of system test was balanced and scheduled.  Simulation results show that the proposed method has better average utilization and lower deviation rate. Meanwhile, this method can effectively deal with the equilibrium of load data load and information of system test in cloud storage.
Translated title of the contributionSimulation Research on System Test Data Load Balancing Scheduling under Cloud Storage
Original languageChinese (Simplified)
Pages (from-to)450-454
Journal计算器仿真
Volume37
Issue number7
Publication statusPublished - Jul 2020

Bibliographical note

Fulltext of this publication does not contain sufficient affiliation information. Research Unit(s) information for this record is based on his previous affiliation.

Research Keywords

  • 云存储
  • 负载数据
  • 均衡调度
  • Cloud storage
  • Load data
  • Balanced scheduling

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