ブログ > 2016
Introducing The Grothendieck Team
2016年 12月 10日 4 分で読めます
The Grothendieck Team
Hi everyone, it's my pleasure to officially announce the new team known as The Grothendieck Team! The team has been named after Alexander Grothendieck, a German-born French mathematician who became a leading figure in the creation of modern algebraic geometry. They have been committed to Ethereum Classic by IOHK in order to build a Scala client for ETC based on IOHK's …
Professor Aggelos Kiayias joins IOHK as Chief Scientist
We are delighted to announce that Professor
Aggelos Kiayias, professor in cryptography at the University of Edinburgh, has joined IOHK as Chief Scientist.Prof Kiayias is the pre-eminent academic in the field of blockchain security. He has produced pioneering work providing the rigorous analysis necessary to secure…
IOHK | Latvia. Executive update
2016年 10月 19日 3 分で読めます
For some of the IOHK team it was their first time meeting in person when we gathered in Latvia this month for an intensive working session to push forward several of our key projects. As a distributed company we usually collaborate remotely, across time zones, so coming together to exchange ideas was inspiring. For two weeks in the beautiful capital city of Riga, we advanced…
A major technical challenge of the cryptocurrencies is to find a way to safely increase the throughput of the system in terms of number of transactions. An approach to tackle this limitation is to review the role of the blockchain, or even to take that data structure out of the picture completely. In this post, we will comment a paper by Boyen, Carr and Haines named Blockchain…
Log-Structured-Merge trees (LSMT) are a good fit for modern SSD storage and offer good performance and reliability. LSMT are also a good fit for blockchain storage requirements (snapshots, consistency, proof of existence). This blog post describes a database designed specifically for blockchain storage, inspired by existing LSMT implementations (RocksDB, COLA tree).
The current state-of-the-art LSMT implementation is probably RocksDB, with in-memory write buffers, parallel compaction and snapshots. Another similar algorithm are COLA tree. That is a btree-like structure where each node has separate write buffer. Finally there is SSTable from Cassandra…
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