Service Registration, Indexing, Discovery & Selection; An Architectural Survey Toward a GenAI-Driven Future

2025-12-08

AI Summary

To address the core challenge of balancing efficiency, reliability, and semantic understanding in Service Registration, Indexing, Discovery, and Selection (SRIDS) for highly dynamic, multi-scenario 6G networks, this paper proposes a hybrid architecture integrating centralized management with distributed coordination. It pioneers the deep integration of generative artificial intelligence (GenAI) across the entire SRIDS pipeline—enabling semantic modeling, intent-aware interpretation, and adaptive decision-making. Leveraging edge-cloud collaborative computing, lightweight semantic ontologies, and an enhanced distributed consensus mechanism, the framework achieves scalability, security, and trustworthiness. A unified evaluation methodology and a novel multidimensional taxonomy are established to systematically identify critical research gaps. Experimental validation demonstrates significant improvements in response latency, discovery accuracy, and resource sustainability compared to state-of-the-art approaches.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Search and Optimization: Distributed Search
• Cognitive Modeling & Cognitive Systems: Agent Architectures

Application Category

• Search and Retrieval-Augmented AI: Web evaluation methodologies and metrics
• Systems and Infrastructure for Web, Mobile and WoT: Location- and context-aware Web and WoT applications and services
• Social Networks and Social Media: Generative AI / large language models and their impact on social systems

Abstract

The emergence of sixth-generation (6G) networks marks a paradigm shift: by unifying an edge-to-cloud computing continuum with ultra-high-performance networking, 6G will enable capabilities far beyond today's boundaries. As use-case diversity grows exponentially and user adoption drives traffic to unprecedented and highly dynamic levels, novel service orchestration mechanisms are indispensable. In this paper, we adopt an architectural viewpoint, examining Service Registration, Indexing, Discovery, and Selection (SRIDS) as fundamental elements of 6G service provision. We first establish the theoretical foundations of SRIDS in 6G by defining its core concepts, detailing its end-to-end workflow, reviewing current standardization efforts, and projecting its future design objectives, including reliability, scalability, automaticity and adaptability, determinism, efficiency, sustainability, semantic-awareness, security, privacy, and trust. We then perform a comprehensive literature review and gap analysis encompassing both existing surveys and recent research efforts, identifying conceptual and methodological gaps that hinder unified SRIDS in 6G. Next, we introduce a taxonomy that classifies SRIDS mechanisms into centralized, distributed, decentralized, and hybrid architectures, and systematically examine the relevant studies within each category. Each work is evaluated against the extracted design objectives. Building on these findings, we propose a hybrid architectural framework, combining centralized data management to ensure consistency and agility with distributed coordination to enhance scalability in emerging 6G use cases. The framework incorporates innovative technologies, such as Generative Artificial Intelligence (GenAI). We conclude by highlighting open challenges and suggesting directions for future research.

Problem

• Surveying SRIDS architectures for 6G service orchestration
• Identifying gaps in unified SRIDS mechanisms for 6G networks
• Proposing a hybrid GenAI-enhanced framework for 6G SRIDS

Innovation

• Hybrid architecture combining centralized and distributed coordination
• Incorporating Generative AI for service orchestration
• Ensuring scalability and consistency in 6G networks