PythonRepo: Persistent In-Network Storage for Named Data Networking.

Tianyuan Yu, Zhaoning Kong,Xinyu Ma, Lan Wang,Lixia Zhang

ICNC(2024)

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Abstract
Named Data Networking (NDN) takes a data-centric design approach to data delivery, which intrinsically enables asynchronous communication. That is, communicating entities can exchange data effectively even when they are not directly connected or online at the same time, as long as everyone can receive all its requested data. NDN makes data available through persistent in-network data repository, or repo for short, which is an integral component in the NDN architecture. In this paper, we first articulate the important role repos play in an NDN network, and then present the design of a simple repo protocol, PythonRepo, which has been used in several NDN applications. We also identify remaining work to be done to make PythonRepofullfil the needs of future NDN applications.
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Key words
Persistent Storage,Named Data Networking,Protocol Design,Data Requests,Cloud Computing,Sensor Data,Application Process,Storage Systems,Objective Data,Single Instance,Data Packets,Design Goals,Application Layer,Multiple Entities,Protocol Stack,Bootstrapping Process,Design Assumptions
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