Predicting Quality of Services Based on a Two-Stream Deep Learning Model With User and Service Graphs-Reference-Cited by-同舟云学术

Predicting Quality of Services Based on a Two-Stream Deep Learning Model With User and Service Graphs

Published:2023-11 Issue:6 Volume:16 Page:4060-4072
ISSN:1939-1374
Container-title:IEEE Transactions on Services Computing
language:
Short-container-title:IEEE Trans. Serv. Comput.

Author:

Zhang PeiYun¹^ORCID,Huang WenJun¹^ORCID,Chen YuTong¹^ORCID,Zhou MengChu²^ORCID

Affiliation:

1. Engineering Research Center of Digital Forensics of Ministry of Education, School of Computer and Software, Nanjing University of Information Science & Technology, Nanjing, Jiangsu, China

2. School of Information and Electronic Engineering, Zhejiang Gongshang University, Hangzhou, China

Funder

National Natural Science Foundation of China

Startup Foundation for Introducing Talent of Nanjing University of Information Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Information Systems and Management,Computer Networks and Communications,Computer Science Applications,Hardware and Architecture

Link

http://xplorestaging.ieee.org/ielx7/4629386/10360362/10227846.pdf?arnumber=10227846

Reference51 articles.

1. Integrating EMD with Multivariate LSTM for Time Series QoS Prediction

2. Self-Adaptive and Online QoS Modeling for Cloud-Based Software Services

3. Credible and Online QoS Prediction for Services in Unreliable Cloud Environment

4. Efficient and Privacy-Preserving Federated QoS Prediction for Cloud Services

5. A Location-Based Factorization Machine Model for Web Service QoS Prediction

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