Paper Info
Title
Dynamic Scheduling Method of Virtual Resources Based on the Prediction Model.
Abstract
Deploying applications to the cloud has become an increasingly popular way in the industry due to elasticity and flexibility. It uses virtualization technology to provide storing and computing resources to the applications. So how to efficiently schedule virtual resources to ensure the quality of services during the peak, and avoid the waste of resources during the idle is an important research topic in the cloud computing, which aims to minimize the execution cost and to increase the resource utilization. The way based on the monitoring data to scale up or scale down the virtual resources may let virtual resources suffer from over seriously. In this paper, we present a dynamic scheduling method for the virtual resources based on the prediction model. Firstly, we use prediction model to predict the request quantity. And then we combined the prediction result with the load capacity of current resources to compute whether to increase or decrease the virtual resources. Finally, we choose the suitable physical machine to create or recycle the virtual machine. The experimental results show that the prediction model can fit our scene well, and the resource scheduling algorithm can be used to ensure the quality of service in a timely and effective manner.
Year
DOI
Venue
2016
10.1007/978-3-319-59288-6_35
Lecture Notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering
Keywords
Field
DocType
Cloud application,Surge in traffic,Quality of service,Prediction model,Dynamic resource scheduling
Virtualization,Virtual machine,Fair-share scheduling,Computer science,Resource scheduling,Quality of service,Two-level scheduling,Dynamic priority scheduling,Cloud computing,Distributed computing
Conference
Volume
ISSN
Citations 
201
1867-8211
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Dongju Yang101.35
Chongbin Deng200.34
Zhuofeng Zhao36615.46