Predicting Quality of Service via Leveraging Location Information
QoS (Quality of Service) (our approach can be applied to a wide variety of services; in this paper, we focus on Web services) performance is intensively relevant to locations due to the network distance and the Internet connection between users and services. Thus, considering the location informatio...
Saved in:
Main Authors: | Liang Chen, Fenfang Xie, Zibin Zheng, Yaoming Wu |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2019-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2019/4932030 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Leveraging machine learning to predict residential location choice: A comparative analysis
by: Vahid Noferesti, et al.
Published: (2025-03-01) -
Leveraging haplotype information in heritability estimation and polygenic prediction
by: Jonas Meisner, et al.
Published: (2025-01-01) -
A Framework for Tradeoff Between Location Privacy Preservation and Quality of Experience in Location Based Services
by: Tianyi Feng, et al.
Published: (2024-01-01) -
KAP:location privacy-preserving approach in location services
by: Yu-hang WANG, et al.
Published: (2014-11-01) -
Leveraging an Enhanced CodeBERT-Based Model for Multiclass Software Defect Prediction via Defect Classification
by: Rida Ghafoor Hussain, et al.
Published: (2025-01-01)