Discovery of 6G Services and Resources in Edge-Cloud-Continuum
Mohammad Farhoudi, Masoud Shokrnezhad, Tarik Taleb, Richard Li, and, JaeSeung Song

TL;DR
This paper introduces a comprehensive 6G service and resource discovery architecture leveraging blockchain, semantic networking, and predictive learning to enhance scalability, responsiveness, and efficiency in the edge-cloud continuum.
Contribution
It presents a novel architecture integrating trust, context-awareness, and predictive capabilities for 6G service provisioning in the edge-cloud environment.
Findings
Provides near-optimal response times in simulations
Enhances resource allocation and scalability
Improves network responsiveness and service continuity
Abstract
The advent of 6G networks will present a pivotal juncture in the evolution of telecommunications, marked by the proliferation of devices, dynamic service requests, and the integration of edge and cloud computing. In response to these transformative shifts, this paper proposes a service and resource discovery architecture as part of service provisioning for the future 6G edge-cloud-continuum. Through the architecture's orchestration and platform components, users will have access to services efficiently and on time. Blockchain underpins trust in this inherently trustless environment, while semantic networking dynamically extracts context from service requests, fostering efficient communication and service delivery. A key innovation lies in dynamic overlay zoning, which not only optimizes resource allocation but also endows our architecture with scalability, adaptability, and resilience.…
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