学术储存组 (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 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.

翻译：分散储存在学术和教育环境中仍然很少使用,尽管它比常规系统更便于使用;由于大学服务器的载重或维护工作,数据在某一时间仍无法提供;分散的解决方案有助于保存数据,并在若干同龄人之间分配数据;在实验中,我们在多克建立了一个集装箱群,用于评价学术数据储存的私人GIPS集群,重点是可用性、GET/PUT性能和储存需要;作为抽样数据,我们利用PDF文件分析我们与Wireshark同行网络的数据传输;我们发现,至少需要100千比特/秒的带宽,以便森林小组运行,但建议至少1000千比特/秒,以便顺利运行;此外,硬盘和记忆尺寸应适应数据;其他限制因素,如CPU的功率和互联网连接的延迟,并不影响森林小组分组的运作。