ONLINE PERSONALIZED QOS PREDICTION APPROACH FOR CLOUD SERVICES

被引：0

作者：

Xu, Jianlong ^{[1
,3
]}

Zheng, Zibin ^{[2
]}

Fan, Zhun ^{[1
]}

Liu, Wenhua ^{[3
]}

机构：

[1] Shantou Univ, Dept Elect Engn, Guangdong Prov Key Lab Digital Signal & Image Pro, Shantou 515063, Peoples R China

[2] Sun Yat Sen Univ, Sch Data & Comp Sci, Guangzhou 510275, Guangdong, Peoples R China

[3] Shantou Univ, Coll Sci, Shantou 515063, Peoples R China

来源：

PROCEEDINGS OF 2016 4TH IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTELLIGENCE SYSTEMS (IEEE CCIS 2016) | 2016年

关键词：

Cloud service; Online learning; QoS prediction; Matrix factorization; Cloud computing;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Personalized Quality-of-Service (QoS) prediction is an indispensable technique to select suitable services for service-based cloud applications. Considering the dynamic nature of services, efficiently and accurately predicting QoS value becomes an urgent and crucial research issue. In this paper, we propose an online personalized QoS prediction approach for cloud service, namely online learning based matrix factorization (OLMF). We build the objective function of online matrix factorization and use stochastic gradient descent algorithm to solve the function. Extensive experiments are conducted on real world public datasets, which verify the effectiveness and efficiency of our proposed approach.

引用

页码：32 / 37

页数：6

共 50 条

[21] Online QoS Prediction in the Cloud Environments Using Hybrid Time-Series Data Mining Approach
Amin Keshavarzi
Abolfazl Toroghi Haghighat
Mahdi Bohlouli
Iranian Journal of Science and Technology, Transactions of Electrical Engineering, 2021, 45 : 461 - 478
[22] A novel prediction approach for trustworthy QoS of web services
Tao, Qian
Chang, Hui-you
Gu, Chun-qin
Yi, Yang
EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (03) : 3676 - 3681
[23] WSPred: A Time-Aware Personalized QoS Prediction Framework for Web Services
Zhang, Yilei
Zheng, Zibin
Lyu, Michael R.
22ND IEEE INTERNATIONAL SYMPOSIUM ON SOFTWARE RELIABILITY ENGINEERING (ISSRE), 2011, : 210 - 219
[24] Efficient and Privacy-Preserving Federated QoS Prediction for Cloud Services
Zhang, Yilei
Zhang, Peiyun
Luo, Yonglong
Luo, Jun
2020 IEEE 13TH INTERNATIONAL CONFERENCE ON WEB SERVICES (ICWS 2020), 2020, : 549 - 553
[25] QoS Recommendation in Cloud Services
Zheng, Xianrong
Xu, Li Da
Chai, Sheng
IEEE ACCESS, 2017, 5 : 5171 - 5177
[26] QoS Prediction for The Cloud Service Marketplace: A Grassmann Manifold Approach
Zhao, Yao
Li, Zongpeng
Chu, Xiaowen
2015 IEEE 8TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING, 2015, : 221 - 228
[27] QoS Monitoring in a Cloud Services Environment: The SRT-15 Approach
Cicotti, Giuseppe
Coppolino, Luigi
Cristaldi, Rosario
D'Antonio, Salvatore
Romano, Luigi
EURO-PAR 2011: PARALLEL PROCESSING WORKSHOPS, PT I, 2012, 7155 : 15 - 24
[28] Personalized Context-Aware QoS Prediction for Web Services Based on Collaborative Filtering
Xie, Qi
Wu, Kaigui
Xu, Jie
He, Pan
Chen, Min
ADVANCED DATA MINING AND APPLICATIONS (ADMA 2010), PT II, 2010, 6441 : 368 - 375
[29] A Service Context-Aware QoS Prediction and Recommendation of Cloud Infrastructure Services
Nagarajan, Rajganesh
Thirunavukarasu, Ramkumar
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2020, 45 (04) : 2929 - 2943
[30] A Service Context-Aware QoS Prediction and Recommendation of Cloud Infrastructure Services
Rajganesh Nagarajan
Ramkumar Thirunavukarasu
Arabian Journal for Science and Engineering, 2020, 45 : 2929 - 2943

← 1 2 3 4 5 →