SoK: Distributed Computing in ICN
Wei Geng, Yulong Zhang, Dirk Kutscher, Abhishek Kumar, Sasu Tarkoma, and Pan Hui

TL;DR
This paper systematically reviews distributed computing approaches in Information-Centric Networking (ICN), highlighting design principles, frameworks, protocols, and applications, and discusses current challenges and future directions.
Contribution
It offers a comprehensive categorization and analysis of distributed computing methods in ICN, including design principles, frameworks, and applications, with insights into future research directions.
Findings
ICN's data-centric features enable new distributed computing paradigms
Current challenges include scalability and interoperability issues
Future work involves developing standardized protocols and frameworks
Abstract
Information-Centric Networking (ICN), with its data-oriented operation and generally more powerful forwarding layer, provides an attractive platform for distributed computing. This paper provides a systematic overview and categorization of different distributed computing approaches in ICN encompassing fundamental design principles, frameworks and orchestration, protocols, enablers, and applications. We discuss current pain points in legacy distributed computing, attractive ICN features, and how different systems use them. This paper also provides a discussion of potential future work for distributed computing in ICN.
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Taxonomy
TopicsCaching and Content Delivery · Cooperative Communication and Network Coding · Cognitive Functions and Memory
