Workload Forecasting Framework for Applications in Cloud

摘要：

　　With the developing of cloud computing technics,an increasing number of applications prefer to be deployed in cloud.Load balancing becomes the key technicfor cloud provider to control the resources and cost.But using load balancing with real time data cant react in time towards workload peak or valley.Thus,workload forecasting is presented to let the cloud provider to get ready for a possible workload change.There are already many kinds of predicting methods.In this article,we study the workload of applications in cloud and propose a workload forecasting framework.This framework monitors workloads of applications in real time,processes the data,and provides feedback of the predicted workload value according to historical data,guiding the cloudprovider to allocate resources.

关键词： cloud application workload forecast framework

作者: Shuang Jiang Haopeng Chen Fei Hu

作者单位: School of Software Engineering,Shanghai Jiaotong University,Shanghai,China

会议类型: 国际会议

会议名称: 2014 International Conference on Cloud Computing and Internet of Things (CCIOT)(2014年第一届云计算和物联网国际会议)

会议地点: 长春

会议语种:英文

页码: 31-38

在线出版日期: 2014-12-13（万方平台首次上网日期，不代表论文的发表时间）