Assuring Brokerage Quality in the Cloud–Edge Continuum

The Cloud–Edge Continuum (CEC) has emerged as a paradigm for distributing computational resources across cloud, fog, and edge layers, enabling latency-sensitive applications to operate efficiently. However, ensuring the quality of service (QoS) brokerage in such environments remains a challenge. Existing frameworks primarily focus on resource management techniques such as allocation, scheduling, and offloading but fail to address the quality assurance of the brokerage process itself. This paper introduces SLA governance as a means of ensuring the quality of service brokerage by validating—through automated reasoning—Service Level Agreements (SLAs) against meta-quality constraints—high-level policies that define permissible QoS conditions. We propose an ontology-driven approach leveraging the ODRL ontology for SLA representation and capturing meta-quality constraints. Our method also enables introspective reasoning ensuring internal SLA consistency. Additionally, we integrate SLA governance with a real-time monitoring framework, the Event Management System (EMS), to continuously track workload performance and trigger SLA adaptation when necessary. This integration ensures that SLA-based brokerage decisions remain dynamic and context-aware.

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Publication Details

Journal
Future Internet
Published
2026-02-19
DOI
https://doi.org/10.3390/fi18020107
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
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article

Assuring Brokerage Quality in the Cloud–Edge Continuum

Simeon Veloudis, Iraklis Paraskakis, Yiannis Verginadis, Evangelos Barmpas
Future Internet
Cloud Computing and Resource Management
article

Assuring Brokerage Quality in the Cloud–Edge Continuum

Simeon Veloudis, Iraklis Paraskakis, Yiannis Verginadis, Evangelos Barmpas
article en

Abstract

The Cloud–Edge Continuum (CEC) has emerged as a paradigm for distributing computational resources across cloud, fog, and edge layers, enabling latency-sensitive applications to operate efficiently. However, ensuring the quality of service (QoS) brokerage in such environments remains a challenge. Existing frameworks primarily focus on resource management techniques such as allocation, scheduling, and offloading but fail to address the quality assurance of the brokerage process itself. This paper introduces SLA governance as a means of ensuring the quality of service brokerage by validating—through automated reasoning—Service Level Agreements (SLAs) against meta-quality constraints—high-level policies that define permissible QoS conditions. We propose an ontology-driven approach leveraging the ODRL ontology for SLA representation and capturing meta-quality constraints. Our method also enables introspective reasoning ensuring internal SLA consistency. Additionally, we integrate SLA governance with a real-time monitoring framework, the Event Management System (EMS), to continuously track workload performance and trigger SLA adaptation when necessary. This integration ensures that SLA-based brokerage decisions remain dynamic and context-aware.

Future InternetVol. 18(2)
Institute of Communication and Computer Systems (GR), South East European Research Centre (GR), Athens University of Economics and Business (GR)
Openalex Percentile: Top 65%
Cloud Computing and Resource Management
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Assuring Brokerage Quality in the Cloud–Edge Continuum — Simeon Veloudis, Iraklis Paraskakis, et al. · Future Internet (2026) | TGRS Research Map | TGRS