CEC-Trust: Using Trust to Improve the QoS in Collaborative Edge Computing

In the challenging and dynamic context of Edge Computing, we propose a distributed trust-based approach, which includes a trust model and a nodes pooling algorithm, both validated through simulation, where edge servers collaborate to manage task offloading requests. Our model analyzes the past behavior of edge domains by considering both the resources they have shared and requested from other domains, as well as the characteristics of the tasks involved. In addition, we characterize the trust relationships established between edge servers. As we explain in our work, such trust relationship is directly connected to the measured QoS of task offloading. These two aspects (i.e., historical behavior and trust) are then combined into a unified metric, termed Collaborative Edge Computing Trust (CEC-Trust), which serves to assess the benefits (in terms of QoS) of joining a pool of edge domains for collaborative task offloading. To this end, we designed a fully decentralized procedure, guided by the CEC-Trust measure to form pools of edge domains. A set of simulation results are reported and prove that, by the designed procedure and along with the exploitation of the CEC-Trust measure, the overall performance of the edge servers in the collaborative scenario are notably improved.

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Publication Details

Journal
SN Computer Science
Published
2026-03-24
DOI
https://doi.org/10.1007/s42979-026-04869-x
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
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article

CEC-Trust: Using Trust to Improve the QoS in Collaborative Edge Computing

SN Computer Science
IoT and Edge/Fog Computing
article

CEC-Trust: Using Trust to Improve the QoS in Collaborative Edge Computing

article en

Abstract

In the challenging and dynamic context of Edge Computing, we propose a distributed trust-based approach, which includes a trust model and a nodes pooling algorithm, both validated through simulation, where edge servers collaborate to manage task offloading requests. Our model analyzes the past behavior of edge domains by considering both the resources they have shared and requested from other domains, as well as the characteristics of the tasks involved. In addition, we characterize the trust relationships established between edge servers. As we explain in our work, such trust relationship is directly connected to the measured QoS of task offloading. These two aspects (i.e., historical behavior and trust) are then combined into a unified metric, termed Collaborative Edge Computing Trust (CEC-Trust), which serves to assess the benefits (in terms of QoS) of joining a pool of edge domains for collaborative task offloading. To this end, we designed a fully decentralized procedure, guided by the CEC-Trust measure to form pools of edge domains. A set of simulation results are reported and prove that, by the designed procedure and along with the exploitation of the CEC-Trust measure, the overall performance of the edge servers in the collaborative scenario are notably improved.

SN Computer ScienceVol. 7(4)
University of Catania (IT), University of Reggio Calabria (IT), University of Milano-Bicocca (IT)
Openalex Percentile: Top 11%
IoT and Edge/Fog Computing
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