舰船电子工程2019，Vol.39Issue(11)：127-130,4.DOI:10.3969/j.issn.1672-9730.2019.11.032
面向任务服务质量的网络资源需求预测算法
A Resource Requirement Prediction Algorithm for Task-Oriented Quality of Service
摘要
Abstract
In the background of the information age, cloud computing as a new model of sharing basic resource architecture gives users more economical and convenient solutions. In general, user does not know the amount of resources required to complete tasks, and can only estimate the required resource demand approximately. In this condition, the user not only bears unnecessary costs, but also wastes cloud resources. Focusing on meeting the requirements of different users for all kinds of tasks and optimizing resource allocation, this paper proposes a resource demand forecasting method. The user only needs to submit the Qos parameters of the task, and the algorithm automatically predicts the minimum resource supply to guarantee the Qos demand. The experimental re-sults show that this method can accurately predict user requirements and improve resource utilization.关键词
云计算/网络资源/预测方法Key words
cloud computing/resource requirements prediction/task scheduling/quality of service分类
信息技术与安全科学引用本文复制引用
刘林,张东..面向任务服务质量的网络资源需求预测算法[J].舰船电子工程,2019,39(11):127-130,4.
