Academic Storage Cluster

Decentralized storage is still rarely used in an academic and educational environment, although it offers better availability than conventional systems. It still happens that data is not available at a certain time due to heavy load or maintenance on university servers. A decentralized solution can...

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Vydáno v:2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL) s. 278 - 279
Hlavní autoři: Von Tottleben, Alexander, Ihle, Cornelius, Schubotz, Moritz, Gipp, Bela
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.09.2021
Témata:
Bandwidth
decentralized data storage
distributed systems
IPFS
Maintenance engineering
peer-to-peer
Peer-to-peer computing
Redundancy
Reproducibility of results
Scalability
Uncertainty
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Shrnutí:Decentralized storage is still rarely used in an academic and educational environment, although it offers better availability than conventional systems. It still happens that data is not available at a certain time due to heavy load or maintenance on university servers. A decentralized solution can help keep the data available and distribute the load among several peers. In our experiment, we created a cluster of containers in Docker to evaluate a private IPFS cluster for an academic data store focusing on availability, GET/PUT performance, and storage needs. As sample data, we used PDF files to analyze the data transport in our peer-to-peer network with Wireshark. We found that a bandwidth of at least 100 kbit/s is required for IPFS to function but recommend at least 1000 kbit/s for smooth operation. Also, the hard disk and memory size should be adapted to the data. Other limiting factors such as CPU power and delay in the internet connection did not affect the operation of the IPFS cluster.
DOI:10.1109/JCDL52503.2021.00034