Name
Abstract | ||
|---|---|---|
With the increasing growth of web services shared in various mobile edge platforms, it becomes necessary to evaluate all the candidates based on their quality of services to reduce the users' service selection cost. However, the service quality data released by service providers cannot be simply deemed as trusted due to various subjective or objective reasons, which further produce a series of serious trust-aware service evaluation problems, including service quality data sparsity and lack of feedback incentive. In view of this, we summarize the challenging issues existing in the current research field of trusted mobile edge service evaluation. Afterward, we review the current research status of the trusted service evaluation in the mobile edge environment and discuss one of the typical application scenarios based on trusted service evaluation, that is, recommender systems, as well as their diverse categories. We believe this research could be helpful in assisting a mobile edge platform to build a trusted reputation system for various smart applications hosted in the mobile edge platform. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1155/2021/2227459 | COMPLEXITY |
DocType | Volume | ISSN |
Journal | 2021 | 1076-2787 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tingting Shao | 1 | 0 | 0.34 |
| Xuan Yang | 2 | 0 | 0.34 |
| Wang Fan | 3 | 9 | 2.47 |
| Chao Yan | 4 | 0 | 0.34 |
| Ashish Kr. Luhach | 5 | 0 | 0.34 |