A QoS Prediction Approach Based on Truncated Nuclear Norm Low-Rank Tensor Completion
With the rise of mobile edge computing (MEC), mobile services with the same or similar functions are gradually increasing. Usually, Quality of Service (QoS) has become an indicator to measure high-quality services. In the real MEC service invocation environment, due to time and network instability f...
Main Authors: | Hong Xia, Qingyi Dong, Jiahao Zheng, Yanping Chen, Cong Gao, Zhongmin Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-08-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/22/16/6266 |
Similar Items
-
Personalized QoS Prediction for Service Recommendation With a Service-Oriented Tensor Model
by: Lantian Guo, et al.
Published: (2019-01-01) -
通信服务质量术语与通用QoS模型
by: 张继军
Published: (2004-01-01) -
Low-Rank Tensor Completion by Sum of Tensor Nuclear Norm Minimization
by: Yaru Su, et al.
Published: (2019-01-01) -
QoS Recommendation in Cloud Services
by: Xianrong Zheng, et al.
Published: (2017-01-01) -
QoS INVESTIGATION ON MOODLE’S VIDEO CONFERENCE
by: LINAWATI LINAWATI
Published: (2011-06-01)