Hubble Researcher Focuses on Blockchain for Space Data Processing

Publié le by Coindesk | Publié le

A Hubble Space Telescope researcher is testing a blockchain network for processing the vast amounts of data produced.

Josh Peek, an associate astronomer with the Space Telescope Science Institute, told CoinDesk that the HST, like other space telescopes, requires "Millions upon millions" of hours of computing power to process data, which can become expensive.

While in the past, researchers "Were only spending a tiny amount of compute time per galaxy" - resulting in basic results and potentially introducing errors at a detailed level, advances in computer technology have put more computing power in the hands of researchers, and, resultingly, a lot more data too.

"Tens of millions of CPU hours can really run up a bill. NASA and [STScI] use computing centers and that's a way we can go but there's long latency period where you go through a grant process and so the idea came up that we could use a distributed network to do this really efficiently, it's 10 times cheaper than standard cloud computing."

To that end, he is working with blockchain startups AIKON and Hadron to process the research data.

Specifically, AIKON provides an interface via which Peek can input the data, after which it is processed and rendered through computers comprising Hadron's blockchain network.

In effect, the researcher is doing the same thing, but using a blockchain platform.

Hadron is a "Useful" proof-of-work blockchain, said AIKON co-founder and chief product officer Marc Blinder, that is processing the data Peek provides, with computing time paid for with AIKON's "CPU" tokens.

While the plan is to ultimately have research groups and other clients purchase CPU tokens to rent computing power, right now clients like Peek are testing the system using a supply of free tokens.

Hubble Space Telescope image via NASA. The leader in blockchain news, CoinDesk is a media outlet that strives for the highest journalistic standards and abides by a strict set of editorial policies.

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