A Novel QoS Prediction Approach for Cloud Services Using Bayesian Network Model

Cloud computing is the next generation computing model, which has a significant position in the field of scientific and business computing. By predicting cloud service's QoS in next period, it is helpful for end users to choose the most suitable cloud service that meets their needs. The underly...

Full description

Bibliographic Details
Main Authors:	Wenrui Li, Pengcheng Zhang, Hareton Leung, Shunhui Ji
Format:	Article
Language:	English
Published:	IEEE 2018-01-01
Series:	IEEE Access
Subjects:	Web service quality of service cloud service Bayesian network model
Online Access:	https://ieeexplore.ieee.org/document/8125076/

id	doaj-7aedc7e158564e249d49921f5d26ef6f
record_format	Article
spelling	doaj-7aedc7e158564e249d49921f5d26ef6f2021-03-29T20:31:32ZengIEEEIEEE Access2169-35362018-01-0161391140610.1109/ACCESS.2017.27790458125076A Novel QoS Prediction Approach for Cloud Services Using Bayesian Network ModelWenrui Li0Pengcheng Zhang1https://orcid.org/0000-0003-3594-408XHareton Leung2Shunhui Ji3School of Information Engineering, Nanjing Xiaozhuang University, Nanjing, ChinaCollege of Computer and Information, Hohai University, Nanjing, ChinaDepartment of Computing, The Hong Kong Polytechnic University, Hong KongCollege of Computer and Information, Hohai University, Nanjing, ChinaCloud computing is the next generation computing model, which has a significant position in the field of scientific and business computing. By predicting cloud service's QoS in next period, it is helpful for end users to choose the most suitable cloud service that meets their needs. The underlying hardware/software resources of cloud architecture may have a certain influence on cloud service QoS. However, existing cloud service QoS prediction approaches do not take this influence into account. As these effects are real during the process of cloud service QoS prediction, ignoring the impact of these effects may create a big gap between the prediction results and the actual results. Therefore, in this paper interactive information is first used to describe the correlation between the hardware/software resources and the QoS attributes of the cloud service. Then, a Bayesian network model is established to predict cloud QoS. Bayesian network prediction reasoning algorithm is used to predict and reason about the future QoS values. A set of dedicated experiments is conducted to validate that our approach can accurately predict QoS of cloud service and the accuracy rate is better than state-of-the-art approaches.https://ieeexplore.ieee.org/document/8125076/Web servicequality of servicecloud serviceBayesian network model
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Wenrui Li Pengcheng Zhang Hareton Leung Shunhui Ji
spellingShingle	Wenrui Li Pengcheng Zhang Hareton Leung Shunhui Ji A Novel QoS Prediction Approach for Cloud Services Using Bayesian Network Model IEEE Access Web service quality of service cloud service Bayesian network model
author_facet	Wenrui Li Pengcheng Zhang Hareton Leung Shunhui Ji
author_sort	Wenrui Li
title	A Novel QoS Prediction Approach for Cloud Services Using Bayesian Network Model
title_short	A Novel QoS Prediction Approach for Cloud Services Using Bayesian Network Model
title_full	A Novel QoS Prediction Approach for Cloud Services Using Bayesian Network Model
title_fullStr	A Novel QoS Prediction Approach for Cloud Services Using Bayesian Network Model
title_full_unstemmed	A Novel QoS Prediction Approach for Cloud Services Using Bayesian Network Model
title_sort	novel qos prediction approach for cloud services using bayesian network model
publisher	IEEE
series	IEEE Access
issn	2169-3536
publishDate	2018-01-01
description	Cloud computing is the next generation computing model, which has a significant position in the field of scientific and business computing. By predicting cloud service's QoS in next period, it is helpful for end users to choose the most suitable cloud service that meets their needs. The underlying hardware/software resources of cloud architecture may have a certain influence on cloud service QoS. However, existing cloud service QoS prediction approaches do not take this influence into account. As these effects are real during the process of cloud service QoS prediction, ignoring the impact of these effects may create a big gap between the prediction results and the actual results. Therefore, in this paper interactive information is first used to describe the correlation between the hardware/software resources and the QoS attributes of the cloud service. Then, a Bayesian network model is established to predict cloud QoS. Bayesian network prediction reasoning algorithm is used to predict and reason about the future QoS values. A set of dedicated experiments is conducted to validate that our approach can accurately predict QoS of cloud service and the accuracy rate is better than state-of-the-art approaches.
topic	Web service quality of service cloud service Bayesian network model
url	https://ieeexplore.ieee.org/document/8125076/
work_keys_str_mv	AT wenruili anovelqospredictionapproachforcloudservicesusingbayesiannetworkmodel AT pengchengzhang anovelqospredictionapproachforcloudservicesusingbayesiannetworkmodel AT haretonleung anovelqospredictionapproachforcloudservicesusingbayesiannetworkmodel AT shunhuiji anovelqospredictionapproachforcloudservicesusingbayesiannetworkmodel AT wenruili novelqospredictionapproachforcloudservicesusingbayesiannetworkmodel AT pengchengzhang novelqospredictionapproachforcloudservicesusingbayesiannetworkmodel AT haretonleung novelqospredictionapproachforcloudservicesusingbayesiannetworkmodel AT shunhuiji novelqospredictionapproachforcloudservicesusingbayesiannetworkmodel
_version_	1724194684376449024

A Novel QoS Prediction Approach for Cloud Services Using Bayesian Network Model

Similar Items