Joachim Neu, a Stanford PhD student and researcher in a Web3 behemoth Paradigm, discusses why data availability verification is critical for modern blockchains – and how to overcome this difficulty.
According to a Paradigm researcher, data availability is the Holy Grail for blockchains.
Mr. Neu covers data availability as a key component of modern blockchain systems in a lengthy post. Mustafa Al-Bassam, Alberto Sonnino, and Vitalik Buterin’s concept of random sampling for data availability verification, proposed in 2018, is one of the fruitful approaches to this problem.
In a word, every blockchain platform should devise a method to determine whether its data is available while avoiding expending excessive resources on this activity.
Error correction Reed-Solomon codes are a viewpoint design that addresses these requirements. They allow you to check the integrity of data without having to check each individual unit.
This concept functions similarly to a researcher entering a dark room with a low-battery flashlight. They can only see a portion of the material on a “bulletin board” in the room in order to assess its availability and veracity.
How to check data availability while conserving resources
However, this design has its own set of difficulties. For example, the researcher must determine who “authored” the words on the board.
The researcher should then validate the encryption used; numerous proof techniques aim to accomplish this purpose. Furthermore, the “researcher” must be certain of the nature of the system being validated:
“What” and “where” is the bulletin board? How does the proposer “write” to it?
In terms of practical use, the random sample outlined by Buterin et al. in the aforementioned work should be referred to as the most productive technique to check data availability.
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