A hybrid tensor factorization approach for QoS prediction in time-aware mobile edge computing-Reference-Cited by-同舟云学术

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A hybrid tensor factorization approach for QoS prediction in time-aware mobile edge computing

Published:2021-10-18 Issue: Volume: Page:
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Chen Yanping,Zhang Yaqian,Xia Hong,Gao Cong,Wang Zhongmin,Wang Fengwei,Li Gang

Funder

Science and Technology Project in Shaanxi Province of China

Natural Science Basic Research Program of Shaanxi Province, China

Science and Technology of Xi’an

Special Funds for Construction of Key Disciplines in Universities in Shaanxi

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-021-02851-z.pdf

Reference36 articles.

1. Ibrahim F, Hemayed EE (2019) Trusted cloud computing architectures for infrastructure as a service: survey and systematic literature review. Comput Secur 82(MAY):196–226

2. Abbas N, Zhang Y, Taherkordi A, Skeie T (2018) Mobile edge computing: a survey. IEEE Internet Things 5(1):450–465

3. Xu W (2018) Context-aware cloud service selection model for mobile cloud computing environments. Wirel Commun Mob Com 2018(6):1–14

4. Khanouche ME, Gadouche H, Farah Z, Tari A (2020) Flexible qos-aware services composition for service computing environments. Comput Netw 166:106982

5. Ying H, Peng Q, Jiyou Z, Dajuan F, Huanfeng P (2018) Multi-objective service composition model based on cost-effective optimization. Appl Intell 48(3):651–669

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1. A Generalized Nesterov's Accelerated Gradient-Incorporated Non-Negative Latent-Factorization-of-Tensors Model for Efficient Representation to Dynamic QoS Data;IEEE Transactions on Emerging Topics in Computational Intelligence;2024-06

2. AERQP: adaptive embedding representation-based QoS prediction for web service recommendation;The Journal of Supercomputing;2023-08-25

3. CSADE: a delay-sensitive scheduling method based on task admission and delay evaluation on edge–cloud collaboration;Cluster Computing;2023-05-29

4. A QoS Prediction Approach Based on Truncated Nuclear Norm Low-Rank Tensor Completion;Sensors;2022-08-20

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